Zhao Yang, Ling Yunpeng, Liu Mengyi, Huo Shiyi, Yang Pu, Zhang Chenghao, Xu Zhengyang, Zhao Haidong, Yang Haiyue, An Jiakun
{"title":"考虑电价需求响应的配电网有功无功协调电压控制","authors":"Zhao Yang, Ling Yunpeng, Liu Mengyi, Huo Shiyi, Yang Pu, Zhang Chenghao, Xu Zhengyang, Zhao Haidong, Yang Haiyue, An Jiakun","doi":"10.1109/CICED.2018.8592136","DOIUrl":null,"url":null,"abstract":"Large-scale photovoltaic access to the distribution network will cause the node voltage to exceed the limit, exceeding the safe operating range, and threatening the safe operation of the distribution network. Most of the existing researches only realize the voltage control problem from the single active or reactive point. In view of this situation, an active distribution network voltage control method considering the demand response is proposed, which comprehensively considers the active and reactive power coordination to optimize the voltage deviation. influences. Firstly, from the theoretical level, it is analyzed that the PV access will affect the node voltage, and the voltage control can be realized from both active and reactive power. Secondly, the minimum voltage deviation is the objective function, considering the demand response and the PV inverter. The reactive power adjustment ability is established to establish the voltage coordination optimization model of the distribution network. Thirdly, the chaotic particle swarm optimization algorithm based on particle dimension entropy and greedy strategy is proposed to solve the model. Finally, the effectiveness and practicability of the proposed method are verified by an example.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"365 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active Distribution Network Active-Reactive Coordination Voltage Control Considering Electricity Price Demand Response\",\"authors\":\"Zhao Yang, Ling Yunpeng, Liu Mengyi, Huo Shiyi, Yang Pu, Zhang Chenghao, Xu Zhengyang, Zhao Haidong, Yang Haiyue, An Jiakun\",\"doi\":\"10.1109/CICED.2018.8592136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large-scale photovoltaic access to the distribution network will cause the node voltage to exceed the limit, exceeding the safe operating range, and threatening the safe operation of the distribution network. Most of the existing researches only realize the voltage control problem from the single active or reactive point. In view of this situation, an active distribution network voltage control method considering the demand response is proposed, which comprehensively considers the active and reactive power coordination to optimize the voltage deviation. influences. Firstly, from the theoretical level, it is analyzed that the PV access will affect the node voltage, and the voltage control can be realized from both active and reactive power. Secondly, the minimum voltage deviation is the objective function, considering the demand response and the PV inverter. The reactive power adjustment ability is established to establish the voltage coordination optimization model of the distribution network. Thirdly, the chaotic particle swarm optimization algorithm based on particle dimension entropy and greedy strategy is proposed to solve the model. Finally, the effectiveness and practicability of the proposed method are verified by an example.\",\"PeriodicalId\":142885,\"journal\":{\"name\":\"2018 China International Conference on Electricity Distribution (CICED)\",\"volume\":\"365 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 China International Conference on Electricity Distribution (CICED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICED.2018.8592136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 China International Conference on Electricity Distribution (CICED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICED.2018.8592136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Active Distribution Network Active-Reactive Coordination Voltage Control Considering Electricity Price Demand Response
Large-scale photovoltaic access to the distribution network will cause the node voltage to exceed the limit, exceeding the safe operating range, and threatening the safe operation of the distribution network. Most of the existing researches only realize the voltage control problem from the single active or reactive point. In view of this situation, an active distribution network voltage control method considering the demand response is proposed, which comprehensively considers the active and reactive power coordination to optimize the voltage deviation. influences. Firstly, from the theoretical level, it is analyzed that the PV access will affect the node voltage, and the voltage control can be realized from both active and reactive power. Secondly, the minimum voltage deviation is the objective function, considering the demand response and the PV inverter. The reactive power adjustment ability is established to establish the voltage coordination optimization model of the distribution network. Thirdly, the chaotic particle swarm optimization algorithm based on particle dimension entropy and greedy strategy is proposed to solve the model. Finally, the effectiveness and practicability of the proposed method are verified by an example.