2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献_第2页

ACPEE 2020 TOC

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/acpee48638.2020.9136232

引用次数: 0

A Review on Active Splitting Control of Power Systems 电力系统主动分岔控制研究进展

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136261

Renjie Bian, Jihong Li, Xuelian Wu, Wei-Chan Sun, Jing-Liao Sun

引用次数: 1

Research on Temporary Overvoltage in PMSG-based Wind Power Transmission System in case of Load Rejection 甩负荷情况下基于pmsg的风电传输系统暂态过电压研究

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136353

Daye Yang, Z. Xiang, Ruihua Song, L. Shen, Peipeng Zhou, Yue Yang

{"title":"Research on Temporary Overvoltage in PMSG-based Wind Power Transmission System in case of Load Rejection","authors":"Daye Yang, Z. Xiang, Ruihua Song, L. Shen, Peipeng Zhou, Yue Yang","doi":"10.1109/ACPEE48638.2020.9136353","DOIUrl":"https://doi.org/10.1109/ACPEE48638.2020.9136353","url":null,"abstract":"In order to evaluate the temporary overvoltage level of the system in case of load rejection of the wind power transmission system based on permanent magnet synchronous generator (PMSG) , it is necessary to clarify the temporary overvoltage characteristics and its influencing factors after the fault. Through the mathematical analysis of the control and protection strategies of PMSG-based wind turbine, it is known that the DC rated voltage of the wind turbine, the modulation ratio of the grid side converter ( GSC) , the DC bus overvoltage protection setting, the wind turbine overvoltage protection setting and its action strategy are the main factors affecting the temporary overvoltage of the system. In addition, the type of reactive power compensation and configuration are also the factors influencing the temporary overvoltage of the system. PSCAD / EMTDC is used to verify the above factors. The results show that the relative control and protection strategies of PMSG- based wind turbine should be considered in the calculation of the temporary overvoltage.","PeriodicalId":223198,"journal":{"name":"2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122842906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Evaluation Method of DG Black Start of Distribution Network 配电网DG黑启动评价方法

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136356

Jiazhu Xu, Muyuan Li, Qing Chen, Min Wu

引用次数: 1

Simulation study on attenuation characteristics of traveling wave and influencing factors of positioning accuracy of 10kV cable fault 10kV电缆故障行波衰减特性及定位精度影响因素仿真研究

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136518

Liu Xiao, Zhang Yingxiao, Lin Shi-xuan, Chen Peilin, Yang Lei, Tan Fali

引用次数: 0

An Improved Quantum Particle Swarm Algorithm Optimized Regularized Extreme Learning Machine for Short-Term Load Forecasting 一种改进的量子粒子群算法优化正则化极限学习机用于短期负荷预测

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136462

Chen Yonglong, Zhu Jinda, Yang Dongmei, Wang Xinping

{"title":"An Improved Quantum Particle Swarm Algorithm Optimized Regularized Extreme Learning Machine for Short-Term Load Forecasting","authors":"Chen Yonglong, Zhu Jinda, Yang Dongmei, Wang Xinping","doi":"10.1109/ACPEE48638.2020.9136462","DOIUrl":"https://doi.org/10.1109/ACPEE48638.2020.9136462","url":null,"abstract":"In order to screen out the nonlinear relationship in massive load data more quickly and improve the accuracy of short-term load forecasting model, the genetic quantum particle swarm optimization algorithm (GAQPSO) is proposed to optimize the input weight and hidden layer deviation of the regularized extreme learning machine (RELM) based on the shortcomings of quantum particle swarm optimization algorithm (QPSO) in dealing with complex high-dimensional parameter optimization problems, which forms a hybrid short-term load forecasting model called GAQPSO-RELM. Meanwhile, when the input features are selected, the influences of historical load, temperature, time interval and type of date are fully considered, so the accuracy of the short-term load forecasting model is further improved. The experimental result shows that the proposed short-term load forecasting model has a higher accuracy than the QPSO-RELM model and the common RELM model. Besides, it can better reflect the changeable trend of the daily load curve, which verifies the effectiveness of the proposed predictive model.","PeriodicalId":223198,"journal":{"name":"2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128805666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysis and identification method of transient overvoltage coupling characteristics of secondary equipment in substation caused by induced lightning 感应雷击引起变电站二次设备暂态过电压耦合特性分析与识别方法

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136464

Bin Zhang, Feiming Wang, Hao Chen, Kejian Shi, Dan-dan Zhao, Z. Zhao

{"title":"Analysis and identification method of transient overvoltage coupling characteristics of secondary equipment in substation caused by induced lightning","authors":"Bin Zhang, Feiming Wang, Hao Chen, Kejian Shi, Dan-dan Zhao, Z. Zhao","doi":"10.1109/ACPEE48638.2020.9136464","DOIUrl":"https://doi.org/10.1109/ACPEE48638.2020.9136464","url":null,"abstract":"The induction lightning stroke over-voltage which is arising near Lightning substation is one of the important reasons to the secondary equipment damage. So the research and the identification, which are about the induction lightning stroke transient coupling characteristics of the substation secondary side equipment, have the great significance in transient protection and improvement of its reliability. This paper simulates the transient process which is arising from the of the induction lightning stroke impact to the substation secondary side cable using the laboratory equipment, analyzes the transient radiation signal which is arising from the induction lightning stroke impact coupling the shielded cable, and proposes a recognition of the induction lightning stroke based on wavelet packet energy spectrum characteristics entropy. Decompose the monitored transient disturbance signal into the reconstruction signals of different frequency bands by wavelet transform, construct high-band and low-band wavelet energy feature vector by wavelet energy spectrum method, and use it as the input of the recognition system. So the proposed method can better response the transient process characteristics which is arising by the induction lightning stroke, ensure the reliability of the identification results, and have certain theory and engineering applications value.","PeriodicalId":223198,"journal":{"name":"2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130329197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The New Developed Health Index for Power Transformer Condition Assessment 新建立的电力变压器状态评估健康指标

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136344

Wang Jian, Zhu Wenbing, Gu Chao, Bai Demeng, Wu Kuihua

{"title":"The New Developed Health Index for Power Transformer Condition Assessment","authors":"Wang Jian, Zhu Wenbing, Gu Chao, Bai Demeng, Wu Kuihua","doi":"10.1109/ACPEE48638.2020.9136344","DOIUrl":"https://doi.org/10.1109/ACPEE48638.2020.9136344","url":null,"abstract":"The accurate assessment of power transformer is vital for ensuring reliable and stable operation. Health index (HI) is developed to estimate the health condition. According to the characteristics of transformer, core dynamic parameters that can represent the transformer state are selected to calculate the health index: load, oil chromatography, partial discharge, infrared detection, grounding current of core and vibration. The transformer state is comprehensively evaluated from the perspectives of transformer thermal, electrical, mechanical and load. Then the transformer data is divided into different levels and parts, so multi-parameter statistical analysis is carried on. With the tool of statistical product and service solutions (SPSS), the relationship between the parameters is studied and weight is assigned. Based on contribution analysis, a health evaluation model is put forward. Public factor analysis is an approach to determine the relevance of each variable as well as the influence of diagnostic results on HI. Results obtained by multivariate analysis are also provided to demonstrate the validity and feasibility of assessment model.","PeriodicalId":223198,"journal":{"name":"2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126670805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

A Synchronous Condenser Configuration Method Based on Suppressing Wind Turbine Generators Tripping in the Sending-end Power Grid of HVDC 一种基于抑制风电机组在高压直流发送端电网跳闸的同步冷凝器配置方法

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136430

Zhu Liping, Liu Wenying, Huan Yue, Li Xiao, Shao Chong

引用次数: 3

Multi-objective Planning of Microgrid Considering Electric Vehicles Charging Load 考虑电动汽车充电负荷的微电网多目标规划

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2020-06-01 DOI: 10.1109/ACPEE48638.2020.9136274

Q. Peng, Xiuli Wang, Shuo Shi, Shuai Wang, S. Yan, Yutian Chen

{"title":"Multi-objective Planning of Microgrid Considering Electric Vehicles Charging Load","authors":"Q. Peng, Xiuli Wang, Shuo Shi, Shuai Wang, S. Yan, Yutian Chen","doi":"10.1109/ACPEE48638.2020.9136274","DOIUrl":"https://doi.org/10.1109/ACPEE48638.2020.9136274","url":null,"abstract":"Currently, microgrid has been vigorously developed as a controllable low-voltage grid composed of a variety of distributed power sources, energy storage and loads. More and more distributed power sources and electric vehicles are connected to the microgrid, at the same time, load capacity and load types are also increasing. It is impossible for the original microgrid to support the new load demand. This paper analyzes the economic benefits of microgrid planning, and proposes a multi-objective optimization method for the contradiction between load fluctuations and economic benefits caused by charging of electric vehicles. Through the multi-objective weighted fuzzy programming method, a multi-objective planning model for microgrids with orderly charging of electric vehicles under comprehensive constraints is established to coordinate microgrid planning. Finally, an example validates the effectiveness and feasibility of the proposed multi-objective planning model for balancing economics and load fluctuations, and studies the influence of the interaction between the microgrid and grid on the optimal configuration.","PeriodicalId":223198,"journal":{"name":"2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121153675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0