2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)最新文献_第2页

Influence of Basin Insulator on Transmission Characteristics of UHF Signal in GIS 盆式绝缘子对GIS中超高频信号传输特性的影响

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617038

Wang Lei, Zhao Jianli, Wang Liang, W. Yingjie, Dang Ning

引用次数: 0

Designing and Controlling Power Management Module for Electro-Dynamic Screens 电动屏幕电源管理模块的设计与控制

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617013

Abdul M. Javaid, Asaad Al-Duais, Yaqub Mahnashi

引用次数: 0

A Hybrid Dead- Time Elimination SVPWM Scheme for Neutral-Point-Clamped Inverters 中性点箝位逆变器的混合死区消除SVPWM方案

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617084

Jianting Pan, Jin Huang

引用次数: 0

ISOP DAB Application to the Test of Batteries ISOP DAB在电池测试中的应用

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617068

Zhen Zhang, Yong Shi, Zhongda Chen, K. Peng

引用次数: 3

Research on Temporary Overvoltage of AC Transmission System for Long Distance Offshore Wind Farm 远距离海上风电场交流输电系统暂态过电压研究

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617088

Bin Lin, Gui Yin, Xiaohe Wang, Qing Chen, Hao Zhou, Dongju Wang

{"title":"Research on Temporary Overvoltage of AC Transmission System for Long Distance Offshore Wind Farm","authors":"Bin Lin, Gui Yin, Xiaohe Wang, Qing Chen, Hao Zhou, Dongju Wang","doi":"10.1109/REPE52765.2021.9617088","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617088","url":null,"abstract":"To accurately select the insulation level of submarine cables, an in-depth study should be conducted on the problem of temporary overvoltage attributed to long AC cables used in offshore wind power transmission. This study selected the offshore wind farm connected by single circuit submarine cables as the research object. In combination with the relevant current source characteristics and overvoltage protection strategy, this study theoretically analyzed the temporary overvoltage characteristics exhibited by submarine cables under no-load and load rejection conditions. In addition, the effects of submarine cable length, system short-circuit capacity, transmission capacity and overvoltage protection delay on the amplitude of temporary overvoltage were investigated. The voltage amplitude of load rejection temporary overvoltage showed a positive correlation with the transmitted power and the overvoltage protection delay of the fan converter. Shunt reactor could effectively suppress temporary overvoltage, and its installation position slightly affected the suppression effect.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129443092","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

Effectiveness of Partial Discharge Test in Detecting Micro-Defects of Insulators in GIS 局部放电试验检测GIS中绝缘子微缺陷的有效性

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617096

Ke Zhao, Shan Gao, Hongtao Li, Jingtan Ma, Yun Teng, Kun Cao

{"title":"Effectiveness of Partial Discharge Test in Detecting Micro-Defects of Insulators in GIS","authors":"Ke Zhao, Shan Gao, Hongtao Li, Jingtan Ma, Yun Teng, Kun Cao","doi":"10.1109/REPE52765.2021.9617096","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617096","url":null,"abstract":"Micro-defects on the surface of gas-insulated metal-enclosed switchgear (GIS) insulators have always been a key factor restricting the reliability of GIS equipment. This type of insulation defect causes a small partial discharge amplitude, strong concealment, and high risk. It is a great challenge to use the partial discharge test to sensitively detect this type of defect. Therefore, it is urgent to clarify how effective the partial discharge test is for defects on the insulator surface. In this paper, a partial discharge test system was built in a 550kV GIS in accordance with the standard IEC 60270. Metal particle defects were set on the surface of the basin-type insulator, and the influence of the applied voltage and particle position on the partial discharge characteristics and PRPD patterns was studied. The results show that the partial discharge test has low effectiveness for insulation defects 140mm away from the busbar, and the inception and detection of partial discharges directly depend on the electric field distribution along the surface. This paper can provide guidance for the structural design of the insulator and condition monitoring of GIS.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124873451","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

Probabilistic Prediction of Photovoltaic Power Using Bayesian Neural Network - LSTM Model 基于贝叶斯神经网络- LSTM模型的光伏发电功率概率预测

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617071

Rui Chen, Jie Cao, Dan Zhang

{"title":"Probabilistic Prediction of Photovoltaic Power Using Bayesian Neural Network - LSTM Model","authors":"Rui Chen, Jie Cao, Dan Zhang","doi":"10.1109/REPE52765.2021.9617071","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617071","url":null,"abstract":"The deterministic prediction of photovoltaic power can support the long-term optimization of the dispatching system, but under complex weather conditions, the short-term fluctuation of photovoltaic power will be large, and the prediction accuracy of the deterministic prediction method will be significantly reduced, which will affect the safe and stable operation of the power grid. A prediction method of the photovoltaic power probability distribution based on the Bayesian Neural Network -Long Short-Term Memory (BNN-LSTM) model is proposed. Firstly, use path analysis to select the most related numerical weather forecast feature variables. Then, the LSTM unit is used to extract features of the numerical weather forecast and historical time series data to improve model prediction accuracy. Finally, the parameters in the Bayesian neural network are expressed in the form of a probability distribution, which can be used to fit the probability distribution of photovoltaic power. The case study shows that the proposed method is more capable of dealing with photovoltaic power fluctuations than the deterministic prediction method. Compared with the traditional photovoltaic power interval predicting method, the prediction interval width is narrower under the same forecast accuracy.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127277444","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: 3

Research on the Construction and Application of Evaluation Index System of Resilient Distribution Network 弹性配电网评价指标体系的构建与应用研究

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9616977

Jun Liu, Rui Li, Yini Xu

{"title":"Research on the Construction and Application of Evaluation Index System of Resilient Distribution Network","authors":"Jun Liu, Rui Li, Yini Xu","doi":"10.1109/REPE52765.2021.9616977","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9616977","url":null,"abstract":"The resilient distribution power system has the ability to resist, adapt to and quickly recover from small probability disturbance events. The establishment of a quantitative evaluation index system of resilience to handle extreme events can clearly and intuitively evaluate the resilience of distribution network, realize the deduction, simulation and early warning of extreme events, and provide decision support for pre-disaster strengthening and post-disaster recovery, thus realizing the rapid recovery of resilient distribution network. Based on the principle of multi-objective segmentation, the paper divides the resilient recovery process into pre-exist prevention process and in disaster resistance process, that is, the resilience and adaptability of system to disaster events with small probability & high loss, and the post disaster recovery process is aimed to reduce the cascading failures caused by disasters and shorten the power system recovery time. According to the relationship between probability and loss, the resilience index is layered and refined. The static and dynamic indexes are considered to comprehensively describe the resilience level of distribution network during the entire extreme events from different aspects such as load, network structure, equipment and emergency management. On the basis of the constructed index system, the traditional analytic hierarchy process is improved, and the index weight is reset by the optimal weighting method, which reduces the subjectivity of person and makes the obtained weight more scientific. The example proves the effectiveness of the evaluation index and method.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127298587","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

Security Region Analysis of Sub/Super-Synchronous Oscillations in Wind Power Systems 风电系统次/超同步振荡的安全区域分析

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617047

Ying Zhan, Xiaorong Xie, W. Chai, Qirong Jiang

引用次数: 3

Research on Early Earth Disaster Recognition along Power Line Based on Multi-Source Satellite Remote Sensing 基于多源卫星遥感的电力线沿线地球灾害早期识别研究

2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2021-10-09 DOI: 10.1109/REPE52765.2021.9617099

Xiaohua Zhang, Hui Wang, Runchi Ji, Wenxiang Xue, Shuyuan Wang

{"title":"Research on Early Earth Disaster Recognition along Power Line Based on Multi-Source Satellite Remote Sensing","authors":"Xiaohua Zhang, Hui Wang, Runchi Ji, Wenxiang Xue, Shuyuan Wang","doi":"10.1109/REPE52765.2021.9617099","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617099","url":null,"abstract":"As the voltage level of the power grid continues to increase and the transmission distance increases year by year, ensuring the safety of transmission lines is crucial to economic and social development and residents' production and life. The environment along the transmission line is complicated, and the high-frequency, full-coverage risk assessment along the power line through manual is facing huge challenges, and it is urgent to find a suitable monitoring method. Satellite remote sensing has many advantages such as high measurement accuracy, wide coverage, all-weather, rich data volume and fast update. This article first analyzes the current results of the early identification of landslides, and introduces some of the research results into the early identification of ground disasters on power lines, and provides a way of adding and deleting specific influencing factors. After comprehensive analysis, the research area is confirmed Disaster factors and inducing factors. The data includes optical satellite data, SAR satellite data, DEM data, meteorological data, and geological data. Based on corresponding methods, additional and deleted hazard factors and hazard factors are extracted. During the operation of the risk assessment model, many influencing factors are divided into three calculation modes, and at the same time, the mechanism of the disaster-inducing factors is highlighted to realize the early identification of earth disasters. The analysis results of the disaster points identified by the risk model in this paper are completely consistent with the survey results, indicating that the model constructed in this paper can realize the early targeted identification of the ground disasters along the power line and the construction process is highly operable.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116607185","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