bluuebunny/crossref_metadata_2025 huggingface dataset:
Perspectives on socio-ecological studies in the Northern and Southern Hemispheres
Authors: Huertas Herrera Alejandro , Toro-Manríquez Mónica D. R. , Lorenzo Cristian , Lencinas María Vanessa , Martínez Pastur Guillermo
Published: February 2023

Socio-ecology studies the relationships between human activities and natural systems and their importance in management and public policy. Our objective was to analyse how published papers in countries with a high Human Development Index (HDI) perform socio-ecological studies and compare them between the Northern and Southern Hemispheres. To do this, we used the Scopus platform as a source for searching and obtaining scientific papers about socio-ecological studies conducted in countries from the Northern and Southern Hemispheres. We calculated the number (n) of papers published per year and classified them using the main subject areas of the SCImago Journal & Country Rank database. Then, we analysed whether papers included specific recommendations for natural system management, nature conservation, policies or governance structures, or science in general. Besides, we studied whether the papers addressed socio-ecological studies related to flora and fauna and from what specific group of organisms or systems. Data were compared using the chi-square (χ2) test (Pearson p < 0.005). A total of 467 papers were analysed, where 34% were from the Southern Hemisphere (mainly Argentina, Australia, Chile, and South Africa) and 66% from the Northern Hemisphere (mainly the USA, Canada, and Spain). The Northern Hemisphere (mainly North America and Europe) played a major role in the socio-ecological knowledge exchange than the Southern Hemisphere (South America and Africa). The results showed socio-ecological studies focused mainly on generating management recommendations in social and environmental science fields. The number of studies coming from the Northern Hemisphere was significantly higher than those from the Southern Hemisphere. Most of them were conducted at a local level (e.g., watersheds or human settlements) in three different systems (i) terrestrial (e.g., forests or grasslands), (ii) freshwater (e.g., rivers or streams) and (iii) marine (e.g., coastlines or seas). Most of the studies (70%) were conducted in production systems, where the majority included livestock (mainly bovine) and aquatic fisheries (e.g., salmon, artisanal coastal fishing, or trout). Most vegetation papers (65%) were on native forests. Papers on wildlife made up 30% of all animal-related studies, with mammals, birds, and marine invertebrates (such as collars) being the most extensively researched species. This work highlighted the socio-ecological approach that was used in the analysed countries with greater HDI to develop management options for natural systems.
Effects of media on preventive behaviour during the COVID-19 pandemic
Authors: Suzuki Takahisa , Yamamoto Hitoshi , Ogawa Yuki , Umetani Ryohei
Published: February 2023

The novel coronavirus 2019 (COVID-19) pandemic required implementation of a variety of measures. In addition to pharmaceutical measures, such as vaccines, changing individuals’ nonpharmaceutical preventive behaviour is essential to prevent the spread of infection. In uncertain situations, such as a pandemic, media sources are important for guiding individuals’ decision-making behaviour. In this study, we examined the effects of media use on preventive behaviour during COVID-19. Earlier studies have shown that social networking service (SNS) browsing promotes preventive behaviour. However, those studies only assessed a single point during the early stages of the pandemic; therefore, the effects on ongoing preventive behaviour are unclear. Thus, a two-wave panel survey was conducted in 2020 and 2021 for an exploratory analysis of changes in the effects of media on individuals’ preventive behaviour over time. The results show that the effect of SNS browsing on preventing going out was confirmed only during the early stage of the pandemic and was not observed 1 year later. It is also shown that those who shifted from self-restraint to going out within 1 year were not affected by the type of media use, but by cognitive factors. As the situation changes during a pandemic, analyses that consider time-series changes are essential for gaining insights about the effects of media on the promotion and maintenance of continuous prevention behaviours.
Dynamics of two interacting acoustic bubbles at short separation distances
Authors: Regnault Gabriel , Doinikov Alexander A. , Mauger Cyril , Blanc-Benon Philippe , Inserra Claude
Published: February 2023

We investigate experimentally the attraction between two closely spaced, oscillating microbubbles. Above a certain value of the applied acoustic field, the bubbles jump to a new equilibrium location, where they are separated by a thin fluid layer whose the thickness is much smaller than the bubble radii. We demonstrate that this new equilibrium is caused by the sign reversal of the radiation interaction force acting between the two bubbles, attributed to the multiple rescattering effects of the waves emitted by the bubbles. Theoretical investigation reveals that a new stable equilibrium appears at short distances, resulting in a quasi-contacting bubble pair.
Understanding the formation of surface relief gratings in azopolymers: A combined molecular dynamics and experimental study
Authors: Merkel Milena , Elizabeth Amala , Böckmann Marcus , Mönig Harry , Denz Cornelia , Doltsinis Nikos L.
Published: February 2023

The formation of surface relief gratings in thin azopolymeric films is investigated using atomistic molecular dynamics simulations and compared to experimental results for the specific case of poly-disperse-orange3-methyl-methacrylate. For this purpose, the film is illuminated with a light pattern of alternating bright and dark stripes in both cases. The simulations use a molecular mechanics switching potential to explicitly describe the photoisomerization dynamics between the E and Z isomers of the azo-units and take into account the orientation of the transition dipole moment with respect to the light polarization. Local heating and elevation of the illuminated regions with the subsequent movement of molecules into the neighboring dark regions are observed. This leads to the formation of valleys in the bright areas after re-cooling and is independent of the polarization direction. To verify these observations experimentally, the azopolymer film is illuminated with bright stripes of varying width using a spatial light modulator. Atomic force microscopy images confirm that the elevated areas correspond to the previously dark areas. In the experiment, the polarization of the incident light makes only a small difference since tiny grain-like structures form in the valleys only when the polarization is parallel to the stripes.
Polarization-mediated multi-state infrared system for fine temperature regulation
Authors: Kim Do Hyeon , Heo Se-Yeon , Oh Yeon-Wha , Jung Sanghee , Kang Min Hyung , Kang Il-Suk , Lee Gil Ju , Song Young Min
Published: February 2023

Passive radiative cooling has been spotlighted as a promising energy-saving cooling technology owing to its energy-free and zero-carbon emission for addressing global energy and climate crises. Although radiative cooling can significantly save cooling energy in hot weather, it inevitably accompanies undesirable cooling in cold weather resulting from a single-state of strong thermal emission. Dual-state emitters have recently been developed for self-adaptive thermoregulation, but they still exhibit energy loss in moderate weather. Herein, we report a “continuous” temperature-regulation system by introducing an infrared (IR) polarization valve as the energy-balancing channel. The proposed scheme controls the emitter temperature simply by the in-plane rotation of the IR polarizer as if closing and opening the valve, which presents heating/cooling capabilities of −17 to 51 W/m2 and an energy-saving of >20 GJ/year compared with the conventional emitters in all climate zones. Outdoor experiments demonstrate the precise temperature regulation with the range of ΔTcool >2 °C. This proof-of-concept demonstration in the outdoors verifies our approach’s reliability, suggesting its applicability in residential buildings, farms, and electronic devices.
Improving weed management by targeting the seed ecology of blackberry (
Authors: Delaisse Caroline , Yeoh Paul B. , Didham Raphael K. , Lewandrowski Wolfgang , Scott John K. , Webber Bruce L.
Published: February 2023

Context Germination is a vulnerable life stage for plants, therefore understanding the dynamics of seed ecology is essential to guiding management recommendations for highly invasive weeds. Aim We addressed the knowledge gap for how seeds contribute to the invasion process for European blackberry (Rubus anglocandicans), a threatening weed across the riparian ecosystems of south-western Australia. Methods We performed mechanical, chemical and thermal treatments on seeds to test for changes in germination success and conducted seed-burial trials to monitor seed viability over time in the soil seedbank. Key results In germination trials, freshly picked and frugivore egested seeds failed to germinate with the endocarp intact. With the endocarp removed, germination remained lower at 4–6 months compared with 10–28 months after collection, indicating a significant after-ripening period. Seeds in intact endocarps survived water immersion for more than 2 months, indicating an ability to survive winter flooding. Acid immersion did not improve germination. The germination success of seeds with endocarp removed increased linearly above 11°C, was greatest at 30°C and thereafter declined rapidly (no survival at 40°C). In a 5-year seed-burial trial, germination varied from 7.6 to 48.4% and was significantly lower closer to a river, and in areas where ‘blackberry decline’ syndrome was present. Conclusions While germination of seed without its pyrene coat occurred over a range of controlled conditions, the natural processes needed to break the pyrene remain unknown. Implications High germination success and the long-term survival of seeds in soil clarifies that the management of blackberry remains a difficult challenge in Australia.
Reducing enteric methane of ruminants in Australian grazing systems – a review of the role for temperate legumes and herbs
Authors: Badgery Warwick , Li Guangdi , Simmons Aaron , Wood Jennifer , Smith Rowan , Peck David , Ingram Lachlan , Durmic Zoey , Cowie Annette , Humphries Alan , Hutton Peter , Winslow Emma , Vercoe Phil , Eckard Richard
Published: February 2023

In Australia, 71% of agricultural greenhouse gas (GHG) emissions are enteric methane (CH4), mostly produced by grazing sheep and cattle. Temperate low CH4 yielding legumes and herbs can mitigate enteric CH4 production, but system-level GHG emissions need to be considered. The aims of the study were to: (1) devise a framework to assess GHG reductions when introducing low CH4 yielding species; (2) assess mechanisms of CH4 reduction in temperate legume and herb species for Australia; (3) use a case study to demonstrate expected changes to system-level GHG emissions with the introduction of low CH4 yielding legumes; and (4) identify knowledge gaps and research priorities. Results demonstrate lowering emissions intensity (kg CO2-equivalent/kg product) is crucial to mitigate GHG emissions, but livestock productivity is also important. Several pasture species have anti-methanogenic properties, but responses often vary considerably. Of the species investigated biserrula (Biserrula pelecinus) has great potential to reduce enteric CH4 emissions, but in a case study its emission intensity was similar to subterranean clover (Trifolium subterraneum) but higher than lucerne (Medicago sativa). We conclude that there are temperate legumes and herbs with anti-methanogenic properties, and/or high productivity that could reduce total CH4 emissions and emissions intensity of ruminant livestock production. There is also great diversity in some plant genotypes that can be exploited, and this will be aided by more detailed understanding of plant secondary compounds associated with CH4 reduction. This review suggests an opportunity to formulate pasture species mixtures to achieve reduced CH4 emissions with greater or equal livestock production.
Soil origin impacts Acacia longifolia above and belowground development: water and nutrition as players
Authors: Sampaio Carolina , Vicente Sara , Antunes Marília , Máguas Cristina , Trindade Helena
Published: February 2023

Context Acacia longifolia is an aggressive invader, disrupting habitats and communities worldwide. Understanding what drives its expansion is of paramount importance. Key functional traits include fast growth and the presence of bacterial symbionts performing nitrogen fixation. Aims To address early plant development of A. longifolia under different soils and growth conditions (water and nutrition availability), establishing the key factors that influence above and belowground responses. Methods Plants were grown in pots with soils collected from forest, agricultural and dune areas in relative proximity, in a controlled experiment designed to study water effect and nutrient availability on early growth. Growth parameters included shoot and root length, nodule number and weight. Bacteria were isolated from nodules for genetic diversity evaluation. Photosynthetic pigments and isotopic nitrogen and carbon analyses were performed to address nitrogen fixation and photosynthesis. Key results Soil origin influenced plant growth and bacterial diversity. Largest plant development was achieved in forest soils with added nutrition and water. Plants from agricultural soil displayed higher aboveground development; however, belowground nodule number and bacterial biodiversity decreased, possibly due to anthropogenic activities. Forest soil promoted belowground development and bacterial diversity. In dune soils overall growth was lower and nitrogen fixation was higher. Conclusion Abiotic factors influenced juvenile acacia development; nutrition acts as a growth enhancer, and soil origin, including its microbial communities, can be considered a development modulator. Bacterial diversity varied according to soil type. Implications Several above and belowground interactions showed the need for an integrative perspective to understand acacias invasive potential.
Análisis estadístico del contacto entre lenguas: El caso de las grafías 〈b〉 y 〈v〉 en la documentación en castellano de Mallorca (siglo XVIII)
Authors: Miguel Franco Ruth , Sánchez David
Published: February 2023

Los documentos mallorquines en castellano del siglo XVIII muestran una distinción entre 〈b〉 y 〈v〉 más estable que otros textos producidos de la Península Ibérica. El objetivo de este artículo es examinar la distribución de estas grafías mediante una aproximación multidisciplinar que combina un análisis diacrónico y sincrónico con métodos estadísticos, y tratar de ponerlas en relación con rasgos de la variedad actual de catalán hablada en la isla. De esta forma, se ofrece una interpretación fonética que contribuye a la caracterización de la variedad histórica del español de Mallorca y que puede ayudar a profundizar en la comprensión de los fenómenos de variación y cambio lingüísticos en una situación de contacto.
The position of machine translation in translation studies
Authors: Asscher Omri
Published: February 2023

Attempts to define the concept of translation have historically both reflected and driven developments and
demarcations in the field. In light of the ubiquitous rise of machine translation (MT), the current article considers how
definitional approaches to translation that preceded the MT era, and were formulated with human translation in mind, correspond
with today’s MT. The article engages with two influential definitional strands in the discipline: a-priori prescriptive
definitions, and descriptive definitions focused on the reception of translations. The general compatibility of both definitional
approaches with MT, notwithstanding some empirical and moral criticisms pertaining to the first approach, encourages us to
conceive of MT as a full-fledged translational object of inquiry, fully at home in translation studies. Finally, the article
suggests that shifts in the professional status of human translators may lead to new definitions, aimed at differentiating human
from machine translation by focusing on the notion of (conscious) agency.
The Role of Visitor Centers in Heritage Management: The Example of the Archaeological Site of Umm Qais, Jordan
Authors: Ababneh Abdelkader
Published: February 2023

This study explores the part that visitor centers at archaeological sites play in heritage and tourism management. A case study was conducted in Umm Qais-Jordan, to investigate how a visitor center performs its functions. According to the findings of the fieldwork, the visitor center at Umm Qais primarily operates in an administrative capacity and thus primarily performs clerical functions related to tourism rather than undertaking interpretation and heritage management.
Surface modifications of aluminium and aluminium oxide induced by a treatment with a He-plasma jet and plasma electrolytic oxidation
Authors: Bracht Vera , Gembus Jan-Luca , Bibinov Nikita , Awakowicz Peter
Published: February 2023

Erosion of an aluminium oxide surface as well as a formation of an aluminium oxide coating on an aluminium substrate, comparable with erosion and oxide formation induced by plasma electrolytic oxidation (PEO), can be caused at atmospheric pressure conditions by a DBD-like (dielectric barrier discharge) plasma jet. Obtained experimental results conform a previously assumed similarity of the erosion mechanisms induced by the atmospheric pressure DBD-like plasma jet and PEO microdischarges. The mechanism of a predominantly inward growth of the oxide layer during PEO processing is substantiated based on a comparison of aluminium oxide erosion and oxide layer deposition by a treatment with the considered He-plasma jet and a PEO process.
Dynamic morphology imaging of cardiomyocytes based on AFM
Authors: Cheng Can , Wang Xingyue , Dong Jianjun , Yang Fan , Ju Tuoyu , Wang Zuobin
Published: February 2023

A cardiomyocyte is the basic structural and functional unit of the heart, which is the actual executor of the systolic function. The study of the contraction and relaxation characteristics of cardiomyocyte is of great significance to the physiological behavior and pathology of the heart. How to dynamically express its contraction and relaxation behaviors in 3D has become a challenging issue. Although the video analysis method under the optical microscope can observe the changes in the horizontal direction, it is difficult to describe the changes in the vertical direction. The atomic force microscope (AFM) can accurately express the mechanical and morphological characteristics of the changes in the vertical direction, but it cannot be fully expressed in real time because it is acquired by scanning with a single probe. In order to express the contraction and relaxation characteristics of cardiomyocyte accurately and three dimensionally, a dynamic imaging method in this study is proposed using the periodicity of AFM acquisition and the periodicity of cardiomyocyte contraction. Compared with the optical experiment, it is proven that this method can dynamically represent the contraction and relaxation processes of cardiomyocyte and solve the problem of how to express it in 3D. It brings a new way for the study of physiological characteristics of cardiomyocytes and dynamic imaging by AFM.
Organic bromide solutions-processed all-inorganic perovskite for efficient and stable photovoltaics
Authors: Shi Kewang , Xue Tao , Zhang Jingxuan , Chen Chunyang , Guo Kunping , Wang Xiao , Zhang Fanghui , Huang Jin
Published: February 2023

All-inorganic CsPbI3-x
Br
x
perovskites with appropriate band gap is an attractive semiconductor material for solar applications, whereas their phase stability plays a key role in high-efficiency perovskite solar cells (PSCs). Their device performance was severely constrained by defects, here we found that the promising phenylpropylamine bromide (PPABr) as a simple additive can effectively influence the crystallization kinetics and produce a bifunctional treatment of perovskite, Br ion doping, and organic cation surface passivation. The PPABr treatment has essentially little influence on the light absorption capacity of CsPbI3-x
Br
x
, the band gap is somewhat widened, and the surface hydrophobicity and phase stability are enhanced. CsPbI3-x
Br
x
perovskites treated with PPABr have altered interfacial properties and obtained better interfacial contact, resulting in improved charge extraction and decreased charge recombination. Furthermore, 2.5 mol% PPABr treated CsPbI3-x
Br
x
-based PSCs exhibited repeatable photovoltaic performance with a maximum efficiency of 13.14%. Within 150 h under air circumstances, the PCE attenuation is controlled to within 5% during the test. Hence, passivating inorganic perovskite using organic bromides PPABr is a novel and promising strategy for developing stable, high-performance solar cells.
Design, testing and control of a smart haptic interface driven by 3D-printed soft pneumatic actuators for virtual reality-based hand rehabilitation
Authors: Dragone Donatella , Randazzini Luigi , Stano Gianni , Capace Alessia , Nesci Francesca , Cosentino Carlo , Amato Francesco , Colao Roberto , Percoco Gianluca , Merola Alessio
Published: February 2023

This work presents the main steps of design and testing of a novel haptic interface and adaptive admittance control scheme for optimal regulation of the human–machine interaction in hand rehabilitation mediated by a smart system in virtual–reality environment. The prototype development is the result of an integrated HW/SW design and, moreover, the advantages from additive manufacturing techniques and mechanical properties of soft materials are exploited for the realization steps. Indeed, to make the interface smart, a network of piezo-resistive force sensors is embedded into the user’s command interface and the acquired signals are used for the adaptive regulation of human–machine interaction. Another distinctive feature of the haptic interface, which enables to identify this latter as a smart system, is the interaction control based on the estimation of the user’s intention within a novel scheme of adaptive admittance control. The enhanced training process in rehabilitation assisted by the haptic interface and virtual environment has been experimentally validated during a series of goal-directed tasks. The improvement of the motor performance of the user under the assistance of the adaptive admittance control has been experimentally evaluated. Further results show that the rehabilitation system supports the quantitative assessment of the robustness of the motor learning performance of the hand under the generation of haptic disturbances.
Sizing optimization and experimental characterization of a variable stiffness shape memory polymer filled honeycomb composite
Authors: Squibb Carson , Philen Michael
Published: February 2023

Variable stiffness structures and materials have been considered for many applications, including active vibration control and shape morphing. With regards to shape morphing, variable stiffness materials and composites have been considered for reconfigurable skin materials in aerospace vehicles. Of the many concepts that have been developed for such applications, shape memory polymers (SMPs) are one such promising materials for shape morphing. SMPs exhibit both high modulus ratios and recoverable strains but suffer from a low overall modulus and often require reinforcements, such as honeycomb. This work investigates the design space of such honeycomb reinforced SMPs as variable stiffness materials. Unit cell finite element models are developed for the material, and parametric studies are completed for varying honeycomb cell geometries. A multiobjective, constrained Pareto front optimization is completed for two honeycomb material models and in two loading directions using selected sizing design variables. Pareto fronts are established, and cell geometries are selected and fabricated to experimentally verify the optimized model predictions. The results both predict and demonstrate the advantages of using honeycomb reinforcements for SMPs. Effective in-plane moduli as high as 45 GPa are predicted while achieving a change in modulus of 450X. Compared to existing reinforcement strategies for shape memory polymers, these composites exhibit favorable combinations of both high stiffness and high changes in stiffness with a high degree of tailorability through the honeycomb cell geometry and predicted performances that meet and exceed the state of the art.
Excitation wavelength dependent color tunability, white light generation and enhanced optical emission in mixed phase ZnO–CAZO:xEu3+ over single phase ZnO:xEu3+ phosphors: a comparative study
Authors: Singh Priti , Mishra H , Rai Shyam Bahadur
Published: February 2023

Mixed phase ZnO-CAZO:xEu3+ phosphors have been synthesized by solid state reaction method to get tunable light including white light under excitation with different wavelengths. The XRD, SEM, FTIR, UV–vis absorption, photoluminescence excitation and emission spectra of the samples and the lifetime of 5D0 level of Eu3+ ions have been studied. The ZnO phosphor has well known hexagonal structure, whereas Ca3Al4ZnO10 (CAZO) has orthorhombic structure. The UV–vis spectral studies show that the materials have wide band gap. The excitation spectra of ZnO-CAZO:xEu3+ phosphors with λ
em = 613 nm show broad bands at 270 and 370 nm alongwith discrete peaks due to Eu3+ ion. An excitation with 370 nm of ZnO-CAZO:xEu3+ phosphors results a broad continuum from 400–700 nm with maxima at 520 nm. The excitation with 270/394 nm on the other hand gives intense discrete peaks due to Eu3+ ion alongwith broad host emission. However, on excitation with 467 nm, it gives intense red emission with CIE coordinates (0.64, 0.36) and color purity 90%. The emission intensity is maximum for ZnO-CAZO:1.5Eu3+ phosphor. The excitation with 394 nm, results white light for ZnO-CAZO:0.5Eu3+ phosphor with CIE coordinates (0.34, 0.35), which is almost equal to the ideal white light coordinates (0.33, 0.33). The emission intensity in the mixed condition (ZnO-CAZO:1.5Eu3+) is 4.94 times greater than its single (ZnO:1.5Eu3+) phase under 370 nm excitation.
Quantum state protection from finite-temperature thermal noise with application to controlled quantum teleportation
Authors: Wang Chi , Harraz Sajede , Zhang Jiao-Yang , Cong Shuang
Published: February 2023

We propose a quantum state protection scheme via quantum feedforward control combined with environment-assisted measurement to protect arbitrary unknown initial states from the finite-temperature thermal noise (FTTN). The main strategy is to transfer the quantum system to a noise-robust state by weak measurement and feedforward control before the noise channel. Then we apply the environment-assisted measurement on the noise channel to select our desired damped states that are invertible to the initial state. After the noise channel, the reversal operations are applied to restore the initial state. We consider the protection of a single-qubit system, derive the analytical expressions of the success probability and the fidelity, and analyze the influence of key parameters on the performance of the proposed scheme. Unlike previous studies, there is no trade-off between the fidelity and the success probability in the proposed scheme; hence one could maximize them separately. Simulation results show that the proposed scheme can greatly improve the fidelity of the quantum state with a certain success probability. Moreover, the proposed scheme is successfully applied to improving the fidelity of controlled quantum teleportation through two independent FTTN channels from the perspective of protecting the shared entanglement.
Large valley Nernst effect in twisted multilayer graphene systems
Authors: Jian 简 Guanlin 冠林 , Zhu 朱 Zhen-Gang 振刚 , Su 苏 Gang 刚
Published: February 2023

Valley Nernst effect is a newly proposed and experimentally confirmed effect, which could be used to design novel thermoelectric devices. We study the valley Nernst effect in (M + N)-layer twisted multilayer graphene systems by a simple low-energy effective model. It is found that the total valley Nernst coefficient (VNC) is three orders of magnitude larger than that in monolayer group-VI dichalcogenides. The total VNC increases with the increase of layer numbers. It is shown that the total VNC exhibits a structure with three peaks as a function of the Fermi energy. We identify that the central peak is always negative stemming from the flat band. Two shoulder peaks are positively induced by the conduction and valence bands, respectively. These predicted features can be tested experimentally. The present work would shed more light on valley caloritronics.
Research on power-load matching dispatching of Hydro-Wind-PV hybrid system in cascade
Authors: Liu Fang , Wang Yunling , Su Yunche , Xu Ke , Chen Wei , He Xingqi , Wu Gang , Ju Chengqian
Published: February 2023

With the goal of “double carbon,” wind power and PV are connected to the grid on a large scale, which poses a great challenge to the safe operation of the grid. The synergistic optimization of “hydro-wind-PV hybrid systems” can bring into play the ability of coordination and mutual assistance between different types of power sources, which is one of the important measures to increase the safe operation of the power grid and reduce abandoned wind and photovoltaic power. Based on the analysis of the characteristics of hydro-wind-PV power, the “hydro-wind-PV” integrated network-source cooperative optimization scheduling model is constructed to maximize the source-load matching and the consumption of clean energy. Finally, the results of a case study of a hydropower-wind power-photovoltaic cluster project in southwest China are used to verify the rationality and feasibility of the model.
Improvement of Grid-connected Reactive Power Compensation for Wind Farms Based on STATCOM
Authors: Lan Ying , Du Shang
Published: February 2023

Due to the recent rapid development of wind power generation, people have higher requirements for the stability of wind power systems. The randomness and intermittency of wind farms are strong. When the system is disturbed, or the line fails, it is easy to cause voltage instability. In order to ensure the stable operation of the power system, it is necessary to set up a static reactive power compensation device (STATCOM) to provide reactive power in the power system. This paper simulates and analyzes the wind power generation system with a STATCOM device. The results show that the operation process of the wind power system with STATCOM is more stable.
A Novel Ultra-short-term Photovoltaic Power Generation Forecasting Method Based on Seasonal Autoregressive Integrated Moving Average
Authors: Wang Xueying , Gao Yuan , Long Xuanchen
Published: February 2023

This study suggests an ultra-short-term photovoltaic (PV) energy generation forecasting model based on Seasonal Autoregressive Integrated Moving Average (SARIMA) and Support Vector Machine (SVM). It can further increase the predictive performance of PV electricity generation electrical output and address the issue of significant fluctuation and instability of PV power generation output power. To achieve combined prediction, SVM is employed in this study to model the nonlinear SARIMA prediction residuals. In comparison to the traditional SVM method and the SARIMA method, the mixed forecasting method has a good forecasting consequence and can serve as a favorable basis for the safe operation and scheduling of the PV grid, according to the results of the simulation of actual data.
Research on Power Sensing Data Quality Assessment Method Based on Hierarchical Analysis Method
Authors: Liu Weixin , Zhang Xiaolei , Zhuang Yajie , Ding Yang , Liu Xiaojian , Yang Jijun
Published: February 2023

Various types of sensors deployed in power networks are susceptible to bad weather, intrinsic defects, and other effects to produce missing, duplicate, and other abnormal data, which reduces the accuracy of equipment condition evaluation results. Power sensing data is an important way for operation and maintenance personnel to understand the status of the equipment, but there is less research on data quality assessment. This paper addresses this deficiency, designs evaluation rules based on sorting out data characteristics, and constructs a quantitative data evaluation model based on the hierarchical analysis method. Based on the model in this paper, the data quality assessment of the measured micro-meteorological sensor data is carried out, and the data scores are given quantitatively. The conclusions of this paper show that the constructed quantitative data assessment model can effectively achieve sensing data quality scoring, which can assist operation and maintenance personnel in understanding the status of sensing equipment.
Abnormal Operation Detection of Access Equipment in Dispatching Exchange Network Based on Data Mining
Authors: Zhai Hongting , Zhang Qingrui , Sun Lili , Zhang Yantong , Zhai Qi
Published: February 2023

To meet the requirements of a power dispatching service, a dispatching switching network has been widely used instead of circuit switching technology. However, with the growth of the number of access devices, the problem of network security is becoming more and more serious. At present, the commonly used access equipment abnormal operation detection method mainly relies on a two-stage clustering method to identify the abnormal operation state, but the processing effect is not good in the face of a large number of data, resulting in a low F1 value of the final detection result. Therefore, aiming at the access equipment of the dispatching exchange network, an abnormal operation detection method based on data mining is proposed. Scapy, a network tool, is used to capture the traffic data of access devices, and the collected data are normalized and fused. Data feature information is extracted through time sliding window and incremental calculation mode. With the clustering algorithm and related rules in data mining as the core, the abnormal operation detection method of access equipment is designed to obtain accurate abnormal detection results. Finally, based on the recursive graph structure, the detection results are visualized. The experimental results show that the average F1 value of the detection results of the proposed method is 0. 98, which indicates that the detection results of the proposed method have higher accuracy, and based on this, the network security isolation is carried out, which effectively improves the security of dispatching switching network.
Photovoltaic Power Prediction Based on EMD-BLS Model
Authors: Bao Yang , Guo Wei
Published: February 2023

While the energy consumption structure is changing in this world, the consumption rate of renewable energy is gradually increasing. This paper takes photovoltaic power as the research object, analyses the power curve characteristics in different climatic change situation and the correlation between different weather factors and photovoltaic(PV) power output, and then puts forward a photovoltaic power prediction model based on empirical mode decomposition-broad learning system (EMD-BLS). First, the PV power historical sequence needs to be reconstructed after pretreatment, then the EMD method is used to decompose the reconstructed output sequence. The broad learning system model is established for each subsequence. Finally, the prediction results of each sub-series are superimposed to get the prediction of photovoltaic generation. The model is tested with a genuine data of photovoltaic power generation in a region of our country. Compared with the traditional broad learning system (BLS), extreme learning machine (ELM), LSTM, and other prediction models, The prediction error of the proposed model is lower, which can effectively improve the prediction accuracy of photovoltaic power generation.
Research on the control strategy of LCL-type PV grid-connected inverter
Authors: Li Tao , Fu Liyou
Published: February 2023

This paper examines a three-phase grid-connected photovoltaic inverter using LCL technology. Circuit for a full-bridge inverter with three phases and a filter of type LCL are used, and the control strategy consisting of two closed-loop loops is used to remove the effects caused by harmonics on the system. Finally, the simulation and analysis are carried out by MATLAB software to express the possibility of inverter system operation in a more intuitive way, such as a waveform diagram, to verify the rationality of the paper.
Double power sliding mode control of permanent magnet synchronous motor based on high-order sliding mode method
Authors: Li Zhenghao , Wang Ying
Published: February 2023

In view of the shortcomings of traditional sliding mode control of permanent magnet synchronous motor (PMSM), such as slow convergence, serious speed overshoot and outstanding chattering, an improved dual power approach law is proposed. Combined with the equivalent control, a high-order sliding mode rotor is designed by using the second-order nonsingular terminal sliding surface, which greatly improves the dynamic and static performance of the motor and effectively suppresses chattering. The simulation results show that the convergence speed of the improved dual-power reaching law is faster and the anti-disturbance ability of the system is significantly improved.
Research on Visual Inspection System of Distribution Network Based on Unmanned Aerial Vehicle
Authors: Wang Yi , Wang Yong , Zhang Lei , Liu Siyuan , Li Quan
Published: February 2023

The increasing data acquisition information in the distribution network brings new challenges to the monitoring and management of the distribution network. Therefore, this paper proposes a visual inspection system of a distribution network based on UAVs. The overall system hardware and UAV flight control power supply hardware are designed. The distance between the UAV and the obstacles is calculated by detecting the duration of laser signal reception. The visual inspection of the UAV obstacle avoidance power distribution network is carried out. The visible light, infrared, and laser data are fused, multi-source data are processed cooperatively, and the visual inspection information is collected and summarized. The test results show that the system has high efficiency and can provide accurate information for power system operators and managers in a relatively timely manner.
Short-term wind power prediction model based on ARMA-GRU-QPSO and error correction
Authors: Wu Xinhua , Chen Nan , Du Qianyun , Mao Shuangshuang , Ju Xiaoming
Published: February 2023

Power system dispatch benefits from accurate wind power predictions. To increase the prediction precision for wind power, this paper proposes a combined model for predicting short-term wind power based on the autoregressive moving average-gated recurrent unit (ARMA-GRU). Firstly, we build the ARMA model and GRU model respectively to predict wind power. Then we optimize the combined model’s weights by quantum particle swarm algorithm (QPSO). Finally, we build an error correction model for the prediction errors to acquire the final results for the wind power predictions. Our experimental results prove the model’s reliability and the model’s high predictability is verified by comparing different prediction models.
Research on Energy Dissipation Technology and AC Overvoltage Suppression of Sending End in UHVDC Transmission
Authors: Huang Yongrui , Han Kun , Hu Qiuling , Zhang Wenbo , Yuan Hongtao , Shao Zhuke , Cui Xiaochen
Published: February 2023

For suppress the amplitude of overvoltage from HVDC sending terminal, an overvoltage suppression scheme based on the principle of controllable energy dissipation was proposed. The overvoltage mechanism of a weak AC system under the fault of the DC system was analyzed, and the method and operating principle of the CSREDD were proposed. Prototype of the develop CSREDD was tested, which proved correctness about the design. The controllable energy dissipation device has been successfully applied to the ±800kV Lu-Gu UHVDC transmission project. The operation results show that the controllable energy dissipation device can effectively suppress the AC overvoltage.
Optimal scheduling of power system with wind power considering deep peak regulation of fire-storage and demand response
Authors: Zhang Shi-qi , Yin Chang-yong
Published: February 2023

In the context of the integration capacity of wind power has increased rapidly, because the large sporadic and instability characteristics of wind power machinery, it has brought challenges in peak adjustment of power equipment machinery. Therefore,if we want to increase the peak load capacity of the electric power channel, we should improve the consumption of new energy. This constructs a electric power channel optimization model with demand response and a unit-peaking output model. The validity of the example is verified.
Intraday rolling optimal dispatch model of power system considering supply-demand interaction
Authors: Han Yaxuan , Dong Zhixin , Liu Dunnan , Wang Xuanyuan , Ning Bu , Liu Zhen
Published: February 2023

The participation of demand-side resources in grid operation and regulation, in coordination with the generation side, can jointly ensure a stable supply of electricity. The application of control technology in the energy field makes demand-side resource control methods more flexible and intelligent, thus providing a technical guarantee for demand-side resources to participate in the power market. This paper discusses the interaction between demand-side resources and the generation side and establishes an intraday rolling optimal dispatch model for demand-side resources. Finally, it is demonstrated through simulation that refining the multi-dimensional response characteristics of demand-side resources in the intraday dispatch model can improve the operational economy of the system and the flexibility of the scheduling model to cope with uncertainties.
Transformer state prediction based on CSSA-BP neural network algorithm
Authors: Jing Zhipeng , Chai Linjie , Hu Shiyao , Wu Yuchen , Pan Sichao , Wang Xi
Published: February 2023

As an important part of the power system, it is particularly important for the monitoring of the status of the power transformer in real time opearation. A transformer winding temperature prediction method through swarm intelligent optimization algorithm (CSSA) and BP neural network is proposed. Firstly, the CSSA-BP prediction model of the winding’s temperatur of dry-type transformer is established, and the existing 300 groups of data on the cloud platform are used for simulation analysis. The results show that, through the optimization by sparrow algorithm, the proposed model has a good prediction performance and is of great significance for realizing transformer winding temperature monitoring.
Analysis and Design of Integrated Intelligent Anti-error System for Substation
Authors: Huang Jin , Shan Changwang , Dong Kang , Zhang Yang , Yu Hao
Published: February 2023

A new comprehensive intelligent anti-error system that meets the requirements of smart substations is proposed. This new system can overcome the problem that the microcomputer anti-error system lacks operation error prevention technology for secondary equipment and also lacks operation and maintenance operations under the integrated control operation mode. Firstly, this paper analyzes the characteristics of the anti-error system, and the principle function of the judgment model. And then, an anti-misoperation process system is established for work scenarios such as information collection and monitoring, remote control operation error prevention, sequential control operation error prevention, local operation error prevention, secondary equipment, operation, and maintenance. This paper finally builds a realtime online anti-error system that can be intelligently analyzed for the whole business process to ensure the safety of intelligent substation equipment operation.
Multi-objective Optimization of Relay Protection Setting Based on MOAHA Algorithm
Authors: Li Hao , Wang Haotian
Published: February 2023

With the expansion of the power grid scale, more and more relay protection devices exist in the power system, and the optimization of node protection setting values has also begun to receive attention. Conventional genetic algorithm is mainly used in the current multi-objective optimization solution of relay protection fixed value, and its multi-objective optimization procedure is relatively complicated, resulting in low optimization solution efficiency. Therefore, applying the multi-objective artificial hummingbird algorithm (MOAHA) to the optimization process is proposed to obtain a new fixed-value multi-objective optimization method for relay protection. According to the set value requirements of the relay protection, a multi-objective optimization model of the set value of the relay protection is established, and the constraints are determined. Regarding the grid vulnerability coefficient, calculate the weighting factor corresponding to each constraint condition. Then, the multi-objective artificial hummingbird algorithm is applied to design a simple multi-objective optimization mode, including two stages of self-search and guided search to obtain fixed-value optimization results. The results of the example analysis show that the proposed optimization method only needs 20 iterations to output the optimal solution, and the average time spent to obtain the optimal solution is 17.6s. It can play a prominent role in the global optimization and tuning of relay protection in large power systems.
Fuse welding and tin integration automatic machining device
Authors: Chen Jingmao , Huang Zhenyuan , Kuang Kongcai , Chen Jian
Published: February 2023

In order to solve the problems of low efficiency and difficulty in adding tin to the end cap in the production process of the fuse, the unstable amount of tin resulted in over-welding and fake-welding. This paper designed and manufactured a set of automatic equipment for welding and adding tin to the fuse. The feeding device can accurately feed the end cap; a set of disc cutter structures with a feeding machine is used to cut the tin wire, and the cut tin wire accurately falls into the end cap of the fuse. The heating device is designed to melt the tin wire into liquid in the end cap. The cooling device makes the liquid tin condense into a solid in the end cap to realize the function of automatically adding tin to the end cap of the fuse. Through the actual production verification, it is proved that the equipment structure is reasonable and can meet the actual production requirements.
Design and Implementation of Protocol Conversion of Intelligent Power Distribution Equipment for New Power System
Authors: Shao Zhimin , Peng Ganrong , Sun Jinhua , Zhang Ruobing
Published: February 2023

A protocol conversion method of intelligent distribution equipment for a new power system is proposed to aim at the problems of short data reading distance and high data packet loss rate in the current protocol conversion process of intelligent distribution equipment. The protocol conversion process of the equipment is divided into two parts, the uplink channel, and the downlink channel. The multi-protocol conversion process of the intelligent distribution equipment is designed. A data-based protocol conversion scheme is set up to realize the bidirectional conversion of the protocol. The original protocol conversion gateway is replaced by the CAN-PROFINET protocol conversion gateway to control the network message throughput and realize the protocol conversion of the intelligent power distribution equipment. The experimental results show that the method can effectively extend the data reading distance and reduce the data packet loss rate to a certain extent, which provides a new development direction for the new power system network control technology.