2018 International Conference on Power System Technology (POWERCON)最新文献_第4页

Influence of Gas-Insulated Transmission Line (GIL) on Energization Overvoltage 气体绝缘输电线路对通电过电压的影响

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8602353

Xue Wenjia, Xiang Zutao

{"title":"Influence of Gas-Insulated Transmission Line (GIL) on Energization Overvoltage","authors":"Xue Wenjia, Xiang Zutao","doi":"10.1109/POWERCON.2018.8602353","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602353","url":null,"abstract":"Energization overvoltage is very important for security and stability of power grid, and it also provides reasonable reference for insulation coordination. This article proposes the influence of GIL on energization overvoltage. Parameter characteristics for GIL are presented and analyzed in detail, which are different from that of overhead line (OHL). Thus, with GIL applied to transmission system, the traditional methods for analysis of energization overvoltage could not be used. However, amplitude of energization overvoltage and voltage attenuation speed can be simply discussed only for a fully-GIL or a fully-OHL. Analysis on how the length, ratio and location of GIL effect the energization overvoltage, need to be obtained based on simulation results. The study includes various sensitivity analyses to find out the impact of transmission line parameters on overvoltage. By the statistical analysis, it has been discovered that energization overvoltage of a hybrid OHL-GIL circuit are lower than those of a fully-OHL circuit with the same transmission lengths. There is no evident changing regularity of overvoltage in different locations of GIL. The attenuation speed of a hybrid OHL-GIL circuit is lower than those of a fully-OHL and fully-GIL.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129838994","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

Site Selection of Photovoltaic Power Station Based on Weighted Least-Square Method and Threshold Normalization 基于加权最小二乘法和阈值归一化的光伏电站选址

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8601705

Lu Jinwei, Guo Hongxia, Yang Ping, Li Chunlai, Yang Libin, Z. Zhen

引用次数: 1

Modeling of PEV charging load based on trip chain theory and the impact of PEV on distribution networks 基于行程链理论的电动汽车充电负荷建模及电动汽车对配电网的影响

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8602137

Q. Liang, Lingxue Lin, Baorong Zhou, Wenmeng Zhao

{"title":"Modeling of PEV charging load based on trip chain theory and the impact of PEV on distribution networks","authors":"Q. Liang, Lingxue Lin, Baorong Zhou, Wenmeng Zhao","doi":"10.1109/POWERCON.2018.8602137","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602137","url":null,"abstract":"With the popularization of PEV, it has been the critical load of smart the grid. The modeling of PEV charging load is the basis of the estimation of its impact on distribution networks. This paper proposes a detailed model to analyze the driving characteristics both in time and space of PEV based on the concept of trip chain and the utilization of Monte Carlo Simulation Method. Taking the difference in charging behaviors into consideration, three charging scenarios are generated and then charging load profiles are obtained. Based on the above study, the impact of PEV on multi-level distribution networks is estimated. The results show that it will cause the largest load demand if PEVs charge at home every day after the last trip, especially on a weekday. In addition, it’s recommended that the charging load connects to the front of the feeder, which leads to less voltage drop. This study can accurately describe the temporal-spatial characteristics of charging load and comprehensively analyze its impact on distribution networks, which is instructive for the planning of future power grid.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199100","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: 7

Real-Time Voltage Regulation of Distributed Power Grids with Wind Power Integration 风电一体化分布式电网的实时电压调节

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/powercon.2018.8602299

Ting Cui, Yangwu Shen, Liqing Liang, Bin Zhang, Hu Guo, Jian Zuo

引用次数: 1

Active Optimal Dispatch of Microgrid Based on Improved Model Predictive Control 基于改进模型预测控制的微电网主动优化调度

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8601808

D. Lei, Zhang Xia-wei, Chen Naishi, Sun Qian, Ma Jianwei

引用次数: 0

Investigation on Dynamic Stability of an Islanded Microgrid and Optimization for Its Controller Parameters 孤岛微电网动态稳定性研究及控制器参数优化

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8601639

T. Qian, Q. Wei, W. Zhang, W. H. Tang, Q.H. Wu

引用次数: 1

Optimal Control Strategy for Plug-in Electric Vehicles Based on Reinforcement Learning in Distribution Networks 配电网中基于强化学习的插电式电动汽车最优控制策略

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8602101

X. Ye, T. Ji, M. S. Li, Q. Wu

{"title":"Optimal Control Strategy for Plug-in Electric Vehicles Based on Reinforcement Learning in Distribution Networks","authors":"X. Ye, T. Ji, M. S. Li, Q. Wu","doi":"10.1109/POWERCON.2018.8602101","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602101","url":null,"abstract":"Electric vehicles (EVs) as distributed storage devices have the potential to provide frequency regulation services due to the fast adjustment of charging/discharging power. Along with the policy incentives, it is practical for EVs to take part in the regulation market through the aggregator. An optimal control strategy based on reinforcement learning (RL) for electric vehicles (EVs) in distributed networks is proposed in this paper. The overall goal is to follow the regulation signals sent by the system operator in the real time regulation market by controlling the EVs in the parking lot. To achieve this, the reinforcement learning algorithm is employed to optimize the charge and discharge strategy of the EVs, so that the aggregator optimally allocates the regulation power and the baseline charging power to EVs to respond to the regulation signals for the best regulation performance. Comprehensive simulation studies have been carried out based on the data of PJM electricity market and the results show that the regulation performance based on the control strategy is excellent in both cases of traditional and dynamic regulation signals.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114333367","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: 7

Optimized Control of Dual-active-bridge DC/DC Converter Based Power Electronic Transformer With Dual-phase-shift Control 基于双有源桥式DC/DC变换器的电力电子变压器双移相优化控制

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8601937

J. Guan, Yonghai Xu, Mengmeng Zhang, Xu Zhang

引用次数: 5

Identification of disturbance sources based on random forest model 基于随机森林模型的干扰源识别

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8602245

D. Feng, Zhanfeng Deng, Tongxun Wang, Ying-ying Liu, Lingling Xu

{"title":"Identification of disturbance sources based on random forest model","authors":"D. Feng, Zhanfeng Deng, Tongxun Wang, Ying-ying Liu, Lingling Xu","doi":"10.1109/POWERCON.2018.8602245","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602245","url":null,"abstract":"With more and more disturbance sources such as high-speed railway and renewable energy generation, the power quality problem has become increasingly complex, which seriously affects the reliable operation of the power grid. Identifying the types of disturbance sources that cause power quality events based on power quality monitoring data will support for targeted control disturbance sources, also provide evidences for determining contribution between customers and operators. This paper proposes a method for identification of disturbance sources based on random forests. Firstly, it chooses analysis indices and extracts both temporal and statistical characteristics of selected indicators from historical data. After balancing datasets, the data are used as eigenvectors of training random forests. Secondly, combining with OOB(out-of-bag), one of evaluation indicators, adjustment of random forest parameters in a closed-loop is used to construct cost-optimized random forest classifier. Thirdly, the type of disturbances is on-line identified using the classifer. Based on data from a power quality monitoring system in a regional grid of China, it is verified that the method has a high accuracy for identifying disturbance sources such as electric railways, converter stations, wind power, photovoltaics, and smelters.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478904","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: 8

The Impact of Multi-energy Complementary System on the Reliability of Energy Supply of Distribution 多能互补系统对配电网供电可靠性的影响

2018 International Conference on Power System Technology (POWERCON) Pub Date : 2018-11-01 DOI: 10.1109/POWERCON.2018.8601785

Bin Ye, Xuemei Shi, Dongsen Li, Ciwei Gao

引用次数: 2