{"title":"Research on Hybrid Configuration of Photovoltaic and Storage Distribution Network Considering the Power Demand of Important Loads","authors":"Yaoqiang He, Huaying Zhang, Yihong You, Jun Tao, Hongtao Sheng, Qianlong Zhu","doi":"10.1109/CEEPE55110.2022.9783402","DOIUrl":null,"url":null,"abstract":"From the perspective of economy and reliability, a hybrid configuration scheme of distributed photovoltaic and energy storage in the distribution network is proposed. This scheme takes the functions of peak shaving and valley filling, and reactive voltage regulation of energy storage into account. It is based on the premise of ensuring the power supply of important loads. Power, network power flow, photovoltaic, and node voltage are constraints, and an optimization model for the location and capacity of optical storage is established. On this basis, the NSGAII algorithm is used to solve the multi-objective model to determine the optimal configuration capacity of the distributed optical storage. Finally, simulations based on the IEEE33-node model are performed. The results verify the validity and correctness of the proposed scheme.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"20 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
From the perspective of economy and reliability, a hybrid configuration scheme of distributed photovoltaic and energy storage in the distribution network is proposed. This scheme takes the functions of peak shaving and valley filling, and reactive voltage regulation of energy storage into account. It is based on the premise of ensuring the power supply of important loads. Power, network power flow, photovoltaic, and node voltage are constraints, and an optimization model for the location and capacity of optical storage is established. On this basis, the NSGAII algorithm is used to solve the multi-objective model to determine the optimal configuration capacity of the distributed optical storage. Finally, simulations based on the IEEE33-node model are performed. The results verify the validity and correctness of the proposed scheme.
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