bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on load curve fitting method based on K-means algorithm
Authors: Mi Ning , Qiao Ning , Zhang Chao , Zhang Jisheng , Yin Guolong 
Published: February 2024

Abstract
Some areas of China are affected by the fluctuation of new energy output and load, and the power supply as a whole presents an unbalanced phenomenon of abundant electricity supply but shortage of power supply. To understand the characteristics of the load electricity consumption curve more accurately, this paper proposes a method of fitting the load electricity consumption curve based on K-mea ns algorithm. First, analyze the characteristics of the load electricity consumption based on the industry subdivision, and build the load electricity consumption characteristic index system. Then, the k-mea ns cluster analysis is carried out based on the characteristics of the load power consumption curve of the subdivided industries to determine the number of clusters, and the curve fitting and deviation test are carried out for each cluster group. This paper carries out practical analysis and theoretical research based on the data of typical industry load power consumption curve in Ningxia.
Design of a high-precision current source system for tunable laser driving
Authors: Gui Peng , Zhao Chuang , Zhao Lei , Liu Wenyang , Chen Zitian , Mu Cheng , Zhang Yuhuan 
Published: February 2024

Abstract
Fiber Bragg Grating (FBG), which is an Optical Fiber Sensor with high sensitivity, light weight, and strong anti-interference ability, can realize the measurement of physical quantities, such as temperature and strain. The sensor network formed by FBG sensors is through wavelength division multiplexing, which greatly reduced the difficulty of sensor wiring. Therefore, FBG sensors are widely used in sensing fields such as aerospace, bridges and tunnels. As a wavelength-modulated Optical Fiber Sensor, FBG’s sensing accuracy depends not only on the performance of the laser, but also on the stability of the driving current. In this paper, a high-precision current source system for laser S7500 modulation drive is designed, with a resolution of output current is higher than 2uA. and the laser S7500 is continuously linearly scanned at 20pm intervals in the wavelength range of 1527nm to 1567nm. The wavelength accuracy of the output optical signal is better than 2pm. The test results prove that the system has the advantages of high modulation speed, good stability and high reliability, and can be applied to high-precision FBG sensor networks.
Multi-objective reactive power optimization for low voltage distribution networks based on improved marine predator algorithm
Authors: Qiu Jiyang , Lan Danyang , Zhang Yanli , Li Han 
Published: February 2024

Abstract
A large number of distributed photovoltaic generators are constructed in the 0.4 kV distribution network, which causes the distribution network’s power flow and voltage amplitude to change, and brings new challenges to the reactive voltage control. Firstly, a reactive power adjustment model is invented, and the objective of the optimization is to minimize the distribution network line losses and node voltage shifts. Secondly, the standard marine predator algorithm is improved by using Bernoulli mapping, nonlinear attenuation weight function, and elite replacement strategy, and the model is solved by the improved algorithm. The results of the example optimization of a 21-node low-voltage distribution network show that the presented reactive power adjustment method can control the voltage point within a reasonable range and reduce the line loss rate. The improved marine predator algorithm has better global optimality finding and faster convergence than traditional intelligent algorithms.
Hybrid attention-based improved temporal convolutional BiGRU approach for short-term load forecasting
Authors: Xie Yu , Zeng Pan , Chen Jiakun 
Published: February 2024

Abstract
Accurate load forecasting can ensure the safe and reliable operation of power systems, reduce generation costs, and improve economic efficiency. To improve the accuracy and performance of short-term load forecasting, this paper proposes a hybrid short-term load forecasting method composed of an improved temporal convolutional network (TCNPlus) with an attention mechanism and a bidirectional gated recurrent unit (BiGRU). Firstly, the collected pre-processed training data is reconstructed using a fixed-length sliding window. Secondly, using the self-attention mechanism (SA) in the improved TCN to further enhance the weight of key features, and introducing residual connections can allow the input to propagate forward faster and improve the representation ability and efficiency of error backpropagation of the network, to eliminate the impact of interference signals. Finally, BiGRU is used to learn the forward and backward dependencies of the load sequence in both directions and predict the true load value. Based on the real load data of a national power grid in South China, through experimental comparison of multiple models, the results show that this model still has higher short-term load forecasting accuracy with fewer input features.
Error prediction of a capacitor voltage transformer using dilated causal convolution and LSTM
Authors: Wang Shoukun , Dai Rui , Yang Lin , Song Zhen , Zhang Wenting , Wang Qinghao , Xiangli Ze , Ge Chunmeng 
Published: February 2024

Abstract
To timely and accurately complete the error prediction of capacitor voltage transformers, this paper proposes an error prediction algorithm for capacitor voltage transformers that combines dilated causal convolution and LSTM. The algorithm is divided into two parts: one part updates the state of the input sequence using LSTM, while the other part extracts features through dilated causal convolution, maintaining data causality about the original sequence. Finally, the outputs of these two parts are combined to make the obtained sequence feature information more accurate and enriched. Experiments show that the MSE between the error prediction results obtained by this method and the actual error samples of capacitor voltage transformers is only 0.0003, which can accurately and efficiently complete the error prediction of capacitor voltage transformers.
Electromagnetic interference compensation method of TMR current sensor
Authors: Chen Zhaohui , Chen Xu , Ding Xiaobing , Wei Liu , Tang Tao , Zhou Yu , Yu Weiguo 
Published: February 2024

Abstract
TMR current sensor has excellent characteristics such as high sensitivity, good temperature characteristics, and wide dynamic range, which can meet the new needs of smart grid development. However, the measured value of the output of the TMR current sensor changes with the change in the spatial magnetic field strength. External electromagnetic interference will bring large errors and DC bias to the measurement of the sensor, resulting in a narrowing of the measurement current range. Therefore, an electromagnetic interference compensation method for TMR current sensor is proposed. Two TMR chips are used to measure the synthetic magnetic field signal and the interference magnetic field signal, respectively. Then the output signals of the two TMR chips are compensated and reduced by the signal conditioning unit. The final output analog signal is the magnetic field intensity signal generated by the current of the line to be tested without interference. Finally, the effectiveness of the proposed method is verified by field tests.
Power quality interval grading evaluation method of AC/DC distribution network considering source-load weighting and voltage coupling
Authors: Wang Lianhui , Lin Yan , Xiang Yang , Zhang Yan , Lan Jinchen , Wang Jiang , Qin Liang 
Published: February 2024

Abstract
In the context of the ‘dual carbon’ goal, the integration of renewable energy sources has a significant impact on distribution systems, while the substantial integration of DC loads and photovoltaic power has led to a progressive transition of conventional distribution networks towards hybrid AC-DC distribution networks in the field of electrical engineering. However, this shift has brought about more formidable power quality challenges within the power industry. To address these emerging power quality issues, we propose a novel power quality interval grading evaluation method for AC/DC distribution networks considering source-load weighting and voltage coupling. Firstly, the voltage acquisition data is meticulously decoupled to disentangle the interdependencies. Secondly, the power quality evaluation system of the AC/DC distribution network is established. Considering the influence of different access source-load types on each node, the subjective weight is determined by source load weighted two-tuple linguistic analytic hierarchy process (AHP), the objective weight is determined by the entropy weight method, and the idea of using game equilibrium algorithm to obtain comprehensive weight to balance the error of single weight on evaluation result is put forward. Then, the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) of interval number improvement is used to classify and evaluate the power quality index to make up for the shortcomings of the single-point sampling method. Finally, a more accurate and comprehensive power quality evaluation result is obtained based on a practical example.
Transformer noise prediction method based on CEEMDAN-VMD-TCN
Authors: Liu Ping , Zhang Ying , Shi Jianbo , Guo Shinan 
Published: February 2024

Abstract
To solve the problem of weak precision of traditional prediction methods in transformer noise prediction, a novel prediction approach by CEEMDAN-VMD-TCN is presented in this paper. Firstly, the noise sequence is preliminarily disaggregated by Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). Then, the fuzzy entropy value of each modal component is calculated. The genetic algorithm is adopted to find the optimum parameter group of Variational Mode Decomposition (VMD), with which the components with higher fuzzy entropy values are decomposed again by VMD. Finally, the decomposed components and related feature sequences are input into the Temporal Convolutional Network (TCN) for prediction. The prediction results are superimposed and reconstituted to yield the end results. The results show that the proposed method has greater prediction accuracies compared with other prediction ways.
A novel driver circuit of SiC MOSFET for suppressing crosstalk voltage in bridge circuit
Authors: Hao Jiade , Meng Runquan , Ren Yuhan , Li Ruishu 
Published: February 2024

Abstract
Due to the presence of crosstalk voltage in the circuit, SiC MOSFET devices can be damaged or misled. Suppressing crosstalk voltage makes it an important step for the circuit to function properly. This article first delves into the causes of crosstalk voltage generation. The main research object is synchronous Buck converters, and the reasons for the crosstalk voltage of SiC MOSFETs are analyzed. Afterwards, a novel drive circuit was designed to suppress crosstalk voltage, and the working principle of this drive circuit was analyzed. Finally, simulation was conducted using LTspice software to study and analyze the simulation results, proving the feasibility of this novel drive circuit for suppressing crosstalk voltage, and demonstrating the advantages and disadvantages of this novel drive circuit for suppressing crosstalk voltage.
Control strategy of bidirectional DC/DC converter under variable load state
Authors: Li Qiang , Liu Di , Chen Shen , Liu Zhu , Li Wenjing , Huang Lvchao , Fang Jinguo , Zhuang Yuqiang 
Published: February 2024

Abstract
To improve the stability of DC/DC converters under multiple load conditions, the control strategy of Buck-Boost bidirectional DC/DC converters under variable load conditions is studied in this paper, as well as the droop control strategy for parallel operation of two machines. Based on the topology and basic control strategy of the DC/DC converter, a load current feedforward compensation strategy to achieve ideal stability of output voltage during load switching is studied; then charging and discharging control switching strategy under external power supply is proposed, which achieves fast switching between charging and discharging by sampling battery current and load voltage; finally, a current sharing control method based on inductance current droop is proposed for the parallel operation of two machines, achieving the control effect of equal current sharing between the two modules. The effectiveness and feasibility of the control strategy were verified through prototype experiments.
Multifactor-based analysis of digital energy metering errors and online detection techniques
Authors: Hu Chen , Gu Yifan , Zhu Yongzheng , Zhu Houda , Qu Zemin , Feng Xin 
Published: February 2024

Abstract
In light of the lack of online detection techniques in digital energy metering systems and the ambiguity surrounding factors that contribute to metering errors, this study introduces a multifactor-based approach to comprehensively analyse and detect digital energy metering errors. Through a systematic exploration, the research not only identifies the factors that significantly influence metering errors within digital energy metering systems but also quantifies their individual impacts. A dedicated testing apparatus for digital energy metering systems is devised and the impact of error-inducing factors in the on-site testing is validated. The outcomes serve to validate the precision of theoretical analyses.
Analysis of Ice-shedding induced flashover accident on a transmission line in mountainous terrain
Authors: Ji Kunpeng , Liu Bin , Zhang Yuelong , Chen Jun , Li Yu , Li Xingyu , Lu Rui 
Published: February 2024

Abstract
Transmission lines are essential infrastructure for modern society. Large amplitude vibration of conductors due to ice shedding may cause electrical faults, resulting from insufficient clearance among different phases and phase conductors and ground wires. A flashover fault on a 500kV transmission line located in a mountainous area, which is caused by ice shedding, is analysed in this paper. The approximate reason and history of the flashover accident were restored by the nonlinear finite element method with the help of ANSYS software. The key physical parameters such as conductor ice thickness and amount of ice shedding at the moment of the accident were analysed. The study in this paper helps to gain a deeper understanding of the ice-shedding–induced disasters of transmission lines and provides important reference for the design of transmission structures.
Grid-supporting control strategy in Chongqing-Hubei Back-to-Back HVDC Project of China
Authors: Li Yanmei , Li Ming , Lu Qinghua , Li Tai , Zhao Zheng , Zheng Kuan 
Published: February 2024

Abstract
To resolve the instability problem of the current vector control strategy in the converter station of Shizhou when an N-2 fault occurs during the maintenance of Enshi power grid in Chongqing-Hubei Back-to-Back HVDC project (referred to as “Chongqing-Hubei project”), a new grid-support control strategy is proposed in this research. This strategy simulates the characteristics of the synchronous generator to generate its phase. By adjusting the phase and amplitude of the output voltage, it can flexibly adjust the output of active power and reactive power and realize the frequency and voltage support of the power grid. At the same time, it solves the problem of DC instability when the AC power grid is disturbed and ensures the stable operation of the system. PSCAD/EMTDC simulation test and application in Chongqing-Hubei engineering field verify the effectiveness of this strategy. The grid-supporting control strategy provides technical support for weak system access, inertia compensation and voltage support in the future new energy field.
Real-time signal processing and data acquisition for the Electric Field Detector (EFD-02) on the CSES-02 satellite
Authors: Ammendola R. , Badoni D. , De Santis C. , Rebustini G. , Alunno Camelia E. , Bertello I. , Cipollone P. , De Angelis F. , Diego P. , Fiorenza E. , Masciantonio G. , Nuccilli F. , Parmentier A. , Papini E. , Picozza P. , Piersanti M. , Russi A. , Sparvoli R. , Ubertini P. , Vertolli N. 
Published: February 2024

Abstract
The Electric Field Detector (EFD-02) on board the second China Seismo-Electromagnetic Satellite (CSES-02) will measure the electric field components at a Low Earth Orbit (LEO) over a wide frequency band (DC – 3.5 MHz) and with 1 μV/m sensitivity in the Low Frequency band. EFD-02 will measure the voltage differences between pairs of probes installed at the tips of four booms deployed from the satellite. In this article, we describe the Zynq System on Chip (SoC)-based digital hardware subsystem dedicated to signal processing, and the selected implementation strategy, which successfully complied to the specific requirements of the space mission. Furthermore, we present a comprehensive overview of the assessed instrument performance.
The impact of neutral beam parameters on current drive and neutron yield in DEMO-FNS tokamak
Authors: Dlougach E. , Veltri P. 
Published: February 2024

Abstract
DEMO-FNS (DEMO Fusion Neutron Source) will be a hybrid reactor designed to combine fusion
and fission technologies. In a hybrid reactor the power is mainly produced by a fission blanket
which is exposed to the neutron flux generated by confined fusion plasma used as a Fusion Neutron
Source (FNS). The steady-state operation of the FNS is easier to achieve as compared to pure
fusion reactors, allowing the FNS to be more compact. The DEMO-FNS will produce 40 MW of fusion
power. The neutral beam injectors (NBI) are designed to provide a steady state plasma heating,
rotation, fueling, current drive and neutron generation in DEMO-FNS. Four injector units will
deliver 30 MW power in deuterium with energy Eb
= 500 keV. The NBI concept and main components
are inspired from ITER HNBI design implementing acceleration of negative ions with their
neutralization on gas.
The high density of injected power in DEMO-FNS leads to a very specific operation scenario with a
higher ratio of high-energy ions in the plasma with respect to conventional tokamaks, where the main
part of neutron flux will result from fusion between hot-tail ions and relatively cold
background. The current drive and neutron yield produced by the tangentially injected beam in a
steady-state operation are strongly affected by magnetic configuration and plasma kinetic
profiles. The fast ions deposition and performance in plasma are limited by the losses associated
with the neutral beam shape and aiming. The main channels of direct beam losses include
shine-through losses, as well as fast ion orbital losses. The detailed evaluation of NB parameters
and geometry effects is a necessary step of scenario optimization.
BTR code (Beam Transmission or, in earlier versions, Beam Transmission with
Reionization) is intended for injector beamlines study, and BTR detailed beam model can be also
applied to perform a detailed analysis of beam losses and performance in plasma. The analysis of
beam in plasma shows the ways towards higher values of beam driven current (NBCD) and neutral
yield; the beam-in-plasma behaviour can be tuned for a given tokamak configuration. The NB tracing
model workflow is implemented in the BTOR suite (Beam in TORoids). The results for DEMO-FNS
are compared with the NBI performance in ITER tokamak, as both machines are beam-driven and
implement a similar NBI concept.
Revisiting permafrost carbon feedback and economic impacts
Authors: Zhu Yang , Wang Kang , Jiao Wenxian , Xu Jinlong 
Published: February 2024

Abstract
Quantifying permafrost carbon feedback (PCF) is a critical step in conveying the significance of permafrost carbon emissions to decision-makers and stakeholders and achieving sustainable development goals. Simply assuming a rapid reduction in permafrost area may be an overaggressive approach. This study revisited PCF by incorporating relatively clear permafrost physics into the Dynamic Integrated model of Climate and the Economy. The results show that the total carbon released from permafrost regions in 2100 is 30.5 GtC, which is accompanied by an additional atmospheric warming of 0.038 °C, much lower than previous studies. This study provides a potential perspective to scrutinize the climate feedback and related economic impacts due to permafrost thawing. We may need to pay more attention to carbon processes during nongrowing seasons and sudden changes in permafrost.
Optical response properties and bipartite entanglement in a hybrid optomechanical system assisted by Kerr-nonlinearity and amplitude modulated drive field
Authors: Yadav Surabhi , Bhatt Vijay , Bhattacherjee Aranya B , Jha Pradip K 
Published: February 2024

Abstract
We theoretically investigate the optomechanical interaction between an optical field and a mechanical mode mediated by a Kerr nonlinear medium inside an optical cavity and simultaneously driven by an external amplitude-modulated pump field and a probe field. We show that switching between bistability and multistability is influenced by the rocking parameter and Kerr nonlinearity. Further, we study the quantum fluctuation dynamics of the system, which shows the quantum coherence and interference effects resulting in the transmission of the probe field from opacity to amplification. We also find that the rocking parameter, Kerr nonlinearity, and the optomechanical coupling influence the transmission spectrum. In addition, we also show that the rocking parameter significantly enhances the optomechanical coupling, which can be a new handle to control the entanglement between the optical and mechanical modes. The results show that such a hybrid optomechanical system has potential application in designing and optimizing all-optical switching and optical sensors.
Citizen participation during the 2014 protest in Burkina Faso: Aspiring to a ‘good state’
Authors: Desrosiers Marie-Eve , Hubert Nicolas 
Published: February 2024

Abstract
Analyses of the 2014 protest in Burkina Faso have predominantly focused on some of the movement’s major activists, to the neglect of ordinary citizens. Yet, while citizens’ participation in Burkina Faso in 2014 echoed to some extent the agendas of activists, it built on citizens’ own political subjectivities. Drawing on original interviews and Afrobarometer survey data, we show that Burkinabè citizens were motivated to protest by unmet expectations of the ‘good state’, as experienced in their daily existence in the sense of hardship and unequal treatment by the political system. These expectations and aspirations reflected citizens’ deeper political beliefs or political subjectivities, as already expressed in years prior to the 2014 political crisis. Overall, the article shows how looking at protest from the bottom-up can shift our understanding of political mobilization and its motives: citizen protest constitutes its own political phenomenon, in Burkina Faso and beyond, and should not be subsumed by analyses largely derived from speaking to major activists.