Du Liyong, Li Guangkai, Wang Qinghong, Yang Xu, W. Peng
{"title":"考虑储能装置的配电网重构方法","authors":"Du Liyong, Li Guangkai, Wang Qinghong, Yang Xu, W. Peng","doi":"10.1109/ICSAI.2016.7810944","DOIUrl":null,"url":null,"abstract":"This paper researches a new distribution network reconfiguration method considering access of energy storage devices. Firstly, a new distribution network reconfiguration model considering access of energy storage devices is built. This model takes the minimum of network losses as objective function and considers the new constraints of power and voltage caused by the energy storage devices. The dual power flow directions are also considered in reconfiguration schemes. The improved genetic algorithm is adopted to solve the proposed model to get the optimal reconfiguration scheme. Lastly, two distribution networks with access of energy storage devices are tested to verify the correctness and effectiveness of proposed method.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution network reconfiguration method considering energy storage devices\",\"authors\":\"Du Liyong, Li Guangkai, Wang Qinghong, Yang Xu, W. Peng\",\"doi\":\"10.1109/ICSAI.2016.7810944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper researches a new distribution network reconfiguration method considering access of energy storage devices. Firstly, a new distribution network reconfiguration model considering access of energy storage devices is built. This model takes the minimum of network losses as objective function and considers the new constraints of power and voltage caused by the energy storage devices. The dual power flow directions are also considered in reconfiguration schemes. The improved genetic algorithm is adopted to solve the proposed model to get the optimal reconfiguration scheme. Lastly, two distribution networks with access of energy storage devices are tested to verify the correctness and effectiveness of proposed method.\",\"PeriodicalId\":90521,\"journal\":{\"name\":\"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI.2016.7810944\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2016.7810944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distribution network reconfiguration method considering energy storage devices
This paper researches a new distribution network reconfiguration method considering access of energy storage devices. Firstly, a new distribution network reconfiguration model considering access of energy storage devices is built. This model takes the minimum of network losses as objective function and considers the new constraints of power and voltage caused by the energy storage devices. The dual power flow directions are also considered in reconfiguration schemes. The improved genetic algorithm is adopted to solve the proposed model to get the optimal reconfiguration scheme. Lastly, two distribution networks with access of energy storage devices are tested to verify the correctness and effectiveness of proposed method.