bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Fault Optimization of Intermediate Joint of Power Cable
Authors: He Dajiang , Liu Bohan , Wang Zhenwu , Shu You , Liu Minghui 
Published: May 2022

Abstract
Cable joints are often prone to failure due to loose contact, small contact area and increased contact resistance, resulting in obvious heating. In the existing cable emergency repair work, the cable joints of the original section of the cable and the access end are made on site. Due to the long production time, the emergency repair speed is reduced. Therefore, this paper studies the connection mode of the new cable joint to make the contact between conductors more sufficient and the contact resistance smaller, and designs a scheme of three-phase cable plug-in intermediate joint with high safety and simple installation; at the position of cable joint, three kinds of flexible conductive polymer materials suitable for joint connection are proposed to be used at the contact gap between conductor and conductor, conductor and conductor sleeve, so as to make close contact, reduce contact resistance and further reduce the incidence of cable joint failure.
Study on Partial Discharge Fault Diagnosis of High Voltage Switchboard Based on Ultrasound Detection
Authors: Liu Meijie , Li Zhongwei , Qiu Peng 
Published: May 2022

Abstract
In view of the problem that the partial discharge type of switchgear still needs to be judged by the staff according to the collected phase diagram and experience after the erection of ultrasonic sensor, this paper establishes four common partial discharge models in switchgear, analyzes the collected ultrasonic signals in time domain and frequency domain, extracts 8 characteristic parameters, and judges the fault according to the characteristic parameters by support vector machine, The results show that the recognition rate is high, which lays a foundation for the application of ultrasonic testing in automatic partial discharge diagnosis and fault recognition.
Analysis of harmonic influence of improved PFC circuit on SS4G electric locomotive
Authors: Wang Xiangrong , Shi Guangtian 
Published: May 2022

Abstract
Compared with active filter, PFC circuit has simple structure and convenient operation. Introducing it into SS4G electric locomotive can greatly reduce system harmonics. Therefore, firstly, the corresponding PFC circuit is built, and the suppression measures of peak section and discontinuous section are proposed. By improving the discontinuous section, the waveform conduction angle is expanded from 129.564° to 162.882°. Accordingly, the current harmonic at the input side is reduced from 27.38% to 16.19%. After the voltage multiplier is further introduced, the harmonic is reduced to 15.77%. Then, the circuit is designed to absorb the high-order harmonic power in the peak section, and the harmonic is further reduced by about 0.33% to 15.44%. Two small order smoothing capacitors are connected in parallel in the load section to further absorb higher harmonics, which can reduce harmonics to 9.95%. Because the discontinuous section will also produce some spikes in the improvement process, improving the spikes can reduce the harmonics by 4.42% to 5.53%. Then the final improved circuit is introduced into SS4G circuit, and the current harmonic content of the circuit is reduced from 30.02% to 15.59%. The improved PFC circuit has achieved good results in SS4G.
Lithium battery SOH estimation through FFNN
Authors: Ye Zeyu , Liu Wanbo , Wang Xuechao , Zhu Jin , Yin Jingyuan 
Published: May 2022

Abstract
Abstract:The battery health plays a key and decisive role in the use of lithium batteries. In this paper, the battery data detected offline is used to predict SOH through the big data platform algorithm model, in order to acknowledge the current health of the battery. The construction of the learning model is carried out through the historical data of 1000 batteries data set, so that the MAE(mean absolute error) is lower than 0.095%.
Study on the Influence of Energy Storage on the VRE Station’s Utilization Rate
Authors: Chen Ning , Wang Caixia , Yu Qiuxia , Fan Hao , Li Qionghui , Yuan Wei 
Published: May 2022

Abstract
With the proposal of carbon peak and neutrality goals, variable renewable energies (VREs mainly wind power and solar) will usher in fast development. To ensure the effective consumption of VREs, it is necessary to improve the flexibility of power system. With the high proportion of VREs, the risk of insufficient flexibility of power system increases, and serious abandonment of VREs may occur. Energy storage is an effective means to improve system flexibility and increase VREs’ utilization rate. At present, many provinces in China have issued requirements for the allocation of energy storage for VRE projects, but there is little literature to analyze the impact of the allocation of energy storage in VRE stations on the utilization rate of VREs. In this paper, the joint optimization model of VRE stations and energy storage is established, which can accurately simulate the equivalent power after energy storage is configured in the VRE station. This model is used to study the impact of energy storage configuration proportion on the utilization rate of the VRE station.
Energy management optimization of integrated energy system with electric hydrogen hybrid energy storage
Authors: Huang Jian , Hou Jiansheng , Wang Yingcong , Zheng Hang , Jin Jianfeng , Meng Qinghao 
Published: May 2022

Abstract
Integrated energy system (IES) has attracted wide attention as an efficient solution to a comprehensive utilization of hybrid energy system including electricity, heat, and hydrogen in recent years. This paper investigates the stochastic optimal operation for the micro integrated electric power, heat, and hydrogen delivery system. Firstly, the mathematical model of the micro integrated energy system for residential communities and other similar scenarios is discussed, including the energy interface, power microgrid, micro-heat system and micro-hydrogen system with considerations of distributed energy supply, energy storage, load, upstream energy network interface and their mathematical models. Secondly, the correlated uncertainty, such as wind power, solar power, and loads, are considered and handled in micro integrated energy system. Finally, a scenario-based approach is proposed for the stochastic operation of micro integrated energy system. The objective function is formulated to minimize the expected total operation and environmental costs, the hourly schedule of controllable components in micro integrated energy system. Numerical results demonstrated that the effectiveness of the proposed method. The correlated uncertainty and the corresponding impacts are accurately presented in the optimization model.
Research and application of cluster distributed generation virtual power plant regulation mode based on multi-source heterogeneous data flow analysis
Authors: Li Bin 
Published: May 2022

Abstract
In view of the increasing demand for multi-source heterogeneous data interaction in cluster distributed power virtual power plant(VPP), this paper analyzes the data sources and data flows in each interactive system, and studies the interface strategy between these heterogeneous data and VPP; On this basis, a multi-source heterogeneous data integration platform is built. Based on the data platform, a two-level coordination mode of intelligent regulation of VPP is proposed and realized; Finally, a practical demonstration project is carried out to verify the feasibility of the relevant schemes.
Multi-object optimal configuration of energy storage-photovoltaic capacity in AC/DC active distribution network
Authors: Wang Chen , Yang Fu , Chen Xiuqiang , Song Houming , Li Zhihua 
Published: May 2022

Abstract
The AC/DC active distribution network is considered as an efficient way to achieve intelligent use of electricity. However, the economical configuration of distributed generation is critical for system economic operation. In the power distribution network, the economic operation mode of the photovoltaic power generation, storage battery and load are established firstly. Considering the cost of equipment installation, replacement, operation and maintenance, power purchase cost, and power sales profit, the use life of battery and security constraint, a multi-object economics evaluation function is then established. By optimizing the install capacity of distributed power generation, the operating economy of the distribution network is significantly improved. Finally, using the operating data of the partner-type intelligent power generation system in Lianyungang, the total cost of the operating state is calculated to determine the optimal capacity allocation scheme of the system, and the effectiveness of the proposed capacity allocation method is verified.
Research on running control strategy of photo-hydrogen coupling energy block system based on homogenization modeling
Authors: Han Zijiao , Wang Liang , Dong Yannan , Ge Yanfeng , Ge Yangyang , Ning Chen , Liu Zirui 
Published: May 2022

Abstract
With the in-depth development of economy, the problem of energy transformation is imminent. Both solar energy and hydrogen energy play an important role in low-carbon energy, which can effectively reduce the dependence of the existing energy system on traditional fossil energy and reduce environmental pollution. In order to improve the consumption rate of photovoltaic power generation and the utilization rate of hydrogen energy, this paper analyzes the power exchange characteristics of heterogeneous energy, establishes the homogenization model of various heterogeneous energy, and puts forward an effective running control strategy. While making the output power of photovoltaic generator set meet the power demand of load, hydrogen energy can be maximally applied. Finally, a simulation example is given to verify the effectiveness of the running control strategy proposed in this paper.
Machine vision based insulator image chip drop fault recognition method
Authors: Tang Jie , Huang Zhidu , Zhu Dengjie , Li Hao , Zhao Linjie 
Published: May 2022

Abstract
The paper studies the method of insulator image chip drop fault recognition based on machine vision to improve the recognition effect of insulator chip drop fault.Zhang’s calibration method was used to calibrate the internal parameters of binocular vision camera to improve the results in image acquisition. Insulator images were captured by binocular vision camera after calibration. The color image is converted to digital image and the insulator target image is extracted from the saturation component of a digital image by the optimal entropy threshold segmentation method. The nonlinear function is used to correct the high-frequency subband coefficients in different scales and different directions in the insulator target image, and the coefficients are used to extract the high-frequency information of different scales and directions.. The improved one-dimensional Hough transform detection algorithm is used to identify the ellipse in the edge image, that is, the insulator. The decision conditions of fault identification are designed to complete the fault identification of insulator drop. Experiments show that this method can clearly collect insulator images under different weather conditions, effectively segment insulator target images and accurately extract insulator edge information. The method can accurately identify the insulator drop fault based on the ellipse detection results. When the contrast and brightness factors are different, the f1-score value of fault recognition is higher and the fault recognition effect is better.
Research on Design Method of Intelligent Operation and Maintenance System for Secondary Equipment in Intelligent Substation
Authors: Kuang Honggang , Hu Zongjun , Li Xiaobin , Feng Chao , Gong Can , Yan Jian , Shu Chang 
Published: May 2022

Abstract
Smart substations are an important part of establishing a strong smart grid. In view of the large variety of secondary equipment in the current power system, the rapid increase in quantity, and the complex working conditions of the current power supply company maintenance classes to inspect substations, a design method for the intelligent operation and maintenance system of secondary equipment in smart substations is proposed in this article. First, the intelligent operation and maintenance system architecture of the secondary equipment of the smart substation is established via Redis and ActiveMQ technologies. Then the system function module model is established. Finally, taking a 220kV substation in a certain area of southern China as an example, a new type of intelligent substation secondary equipment intelligent operation and maintenance system was installed and connected to the main line system, and the effectiveness of the proposed method was verified.
Research on Optimum Ratio of New Energy Installed in Shandong Power Grid
Authors: Liu Dong , Sun Yi , Wang Xian , Shi Bingke , Liu Rui , Wang Yao 
Published: May 2022

Abstract
In recent years, we have witnessed the rapid growth of new energy sources in China, with the implementation of “carbon peak, carbon neutrality” and new power system, there is no doubt that the development of new energy will maintain a rapid growth rate. At the same time, in order to ensure the high-quality development of new energy, the planning of wind power and photovoltaic should be taken in advance. Taking Shandong Power Grid as an example, this paper analysed the optimal installed ratio of wind power and photovoltaic power in Shandong power grid from the perspective of electrical power balance, aiming at the highest fit between wind and photovoltaic power generation and load curve. The calculation results show that when the installed ratio of wind power and photovoltaic is 1.45:0.8 (about 1.8:1), the wind and photovoltaic power generation can fit the load curve most closely. Based on this, some suggestions are put forward to provide technical support for energy and electric power planning.
A deep learning-based method for ultra-short-term PV power prediction
Authors: Ren Xiaoying , Gao Yanning , Zhang Fei , Gao Lu 
Published: May 2022

Abstract
With the rapid development of photovoltaic industry, the application accuracy of photovoltaic power prediction technology in the field of power system control, dispatching and operation is more precise. Due to the volatility and randomness of photovoltaic power in the ultra short term, high-precision prediction has more theoretical and practical significance. This paper presents an ultra short-term photovoltaic power prediction model based on dual attention mechanism and GRU, which realizes the high-precision prediction of photovoltaic power in ultra short term. Firstly, attention mechanism is introduced to realize the dual extraction of temporal and spatial features; Then, the power is predicted by combining the extracted features with the characteristics of GRU long-term memory ability and fast calculation. The time series attention mechanism is introduced to independently extract the information of historical key moments to improve the stability of long-time series prediction effect; The feature attention mechanism effectively calculates the correlation of each meteorological feature quantity, and alters the feature weight. Through the comparison experiment with the baseline model, it is verified that the proposed model has higher prediction accuracy, better generalization ability and robustness.
Design of environmental monitoring system based on 4G Internet of things
Authors: Zhang Shuo , Yi Yongfei , Bai Zhihui , Xing Zuoxia , Song Yundong 
Published: May 2022

Abstract
In order to avoid the management blind area of environmental temperature, humidity and lighting in non daily office sites such as operation stations and reception centers. It is necessary to strengthen intelligent management and control. An intelligent control device based on narrow-band Internet of things is proposed to monitor the environmental temperature and humidity of the station on-line. The automatic regulation of ventilation and air conditioning devices is realized by intelligent algorithm. The intelligent control of lighting, temperature control and related auxiliary facilities of the site station can be realized, 4G cloud service can be realized, and remote monitoring and remote control can be realized.
Energy System Restructuring and Deregulation in a Smart City Environment
Authors: Sun Wenyao , Tian Youwen , Lei Weichong , Zhao Yi 
Published: May 2022

Abstract
Under the carbon neutrality vision, the proportion of clean energy in urban power grids is inevitably increasing, which poses many problems for the dispatching mode of distribution grids. In this paper, based on the analysis of the coupling relationship between carbon emission intensity index and intermittent power, a new dispatching model for energy systems in a smart city environment is proposed. Firstly, a distribution grid dispatching model considering carbon emission index is put forward. Next, the distribution network optimal dispatching model is established and solved by the Mixed Integer Second-Order Cone Programming (MISOCP) algorithm. Finally, the effectiveness of the proposed method is verified on a modified IEEE 33 nodes system.
The scheme of quantum dense coding in three-dimensional spaces
Authors: Li Yixiao 
Published: May 2022

Abstract
Quantum communication is a new emerging inter-discipline in which classical communication theory and quantum mechanics are intertwined. Among them, the utilization of quantum entangled state properties is fundamental to the realization of quantum communication. In this way, we can ensure the security and confidentiality of information during transmission based on a new communication scheme, i.e., a quantum dense coding scheme. It enables the transmission of two bits of classical information by transmitting only one qubit. In the past decades, the scheme has attracted the attention of many researchers because of its promising development. In this paper, on top of quantum mechanics, we first review the two-dimensional dense coding scheme and analyze the process implemented by the above scheme. Then it is successfully extended to higher dimensions (three dimensions), predicting the possibility of implementation in more than two dimensions. Finally, the importance of the maximally entangled state for the transmission of this scheme is briefly explained.
A precision time of flight readout system for the TORCH prototype detector
Authors: Gao R. , Bhasin S. , Blake T. , Brook N. , Cicala F. , Conneely T. , Cussans D. , Forty R. , Frei C. , Gabriel E. , Gershon T. , Gys T. , Hadavizadeh T. , Hancock T. , Harnew N. , Kreps M. , Milnes J. , Piedigrossi D. , Rademacker J. , Van Dijk M. 
Published: May 2022

Abstract
The TORCH detector provides low-momentum particle identification, combining Time of Flight (TOF) and Cherenkov techniques to achieve charged particle pi/K/p separation between 2–20 GeV/c over a flight distance of 10 m. The measurement requires a timing resolution of 70 ps for single Cherenkov photons. For precision photon detection, customised Micro-Channel Plate Photomultiplier Tubes (MCP-PMTs) with high precision TOF measurement electronics have been developed. The electronics measures time-over-threshold from the MCP-PMT and features a 10-Gigabit Ethernet readout. This paper reports the design and performance of a 5120-channel system which currently instruments a pair of MCP-PMTs, but has the capacity to read out ten customised MCP-PMT devices in the future.
Preparation of myocardial patches from DiI-labeled rat bone marrow mesenchymal stem cells and neonatal rat cardiomyocytes contact co-cultured on polycaprolactone film
Authors: Zhang Zichang , Zhou Fan , Zheng Jianwei , Mu Junsheng , Bo Ping , You Bin 
Published: May 2022

Abstract
To provide better treatment of myocardial infarction, DiI-labeled bone marrow mesenchymal stem cells (BMSCs) were contact co-cultured with cardiomyocytes (CMs) on polycaprolactone (PCL) film to prepare myocardial patches. BMSCs from Sprague Dawley rats were isolated, cultured, and characterized for expression of surface markers by flow cytometry. CMs were isolated from suckling rats. After BMSCs were cultured for three generations, they were labeled with DiI dye. DiI-labeled BMSCs were co-cultured with CMs on PCL film in the experimental group, while CMs were replaced with the same amount of unlabeled BMSCs in the control group. After 24 h, cell growth was observed by light microscopy and cells were fixed for scanning electron microscopy (SEM). After 7 d of co-culture, cells were stained for immunofluorescence detection of myocardial markers cardiac troponin T (cTnT) and α-actin. Differentiation of BMSCs on PCL was observed by fluorescence microscopy. The efficiency of BMSC differentiation into CMs was analyzed by flow cytometry on the first and seventh days of co-culture. CMs were stained with calcein alone and contact co-cultured with DiI-labeled BMSCs on PCL film to observe intercellular dye transfer. Finally, cells were stained for immunofluorescence detection of connexin 43 (Cx43) expression and to observe the relationship between gap junctions and contact co-culture. BMSCs were identified by flow cytometry as strongly positive for CD90 and CD44H, and negative for CD11b/c and CD45. After co-culture for 24 h, cells were observed to have attached to PCL by light microscopy. Upon appropriate excitation, DiI-labeled BMSCs exhibited red fluorescence, while unlabeled CMs did not. SEM revealed a large number of cells on the PCL membrane and their cell state appeared normal. On the seventh day, some DiI-labeled BMSCs expressed cTnT and α-actin. Flow cytometry showed that the rate of stem cell differentiation in the experimental group was significantly higher than the control group on the seventh day (20.12% > 3.49%, P < 0.05). From the second day of co-culture, immunofluorescence staining for Cx43 revealed green fluorescent puncta in some BMSCs; from the third day of co-culture, a portion of BMSCs exhibited green fluorescence in dye transfer tests. Contact co-culture of DiI-labeled BMSCs and CMs on PCL film generated primary myocardial patches. The mechanism by which contact co-culture promoted differentiation of the myocardial patch may be related to gap junctions and gap junction-mediated intercellular signaling pathways.