Jiakuan An, P. Sun, Xiaolin Tan, Chunguang He, Xiaoguang Qi, Hong Liu, Nan Zheng, Weiyu Li
{"title":"The Active Distribution Network and DG Planning considering DR Under Dynamic Electricity Price Strategy","authors":"Jiakuan An, P. Sun, Xiaolin Tan, Chunguang He, Xiaoguang Qi, Hong Liu, Nan Zheng, Weiyu Li","doi":"10.1109/iSPEC50848.2020.9350958","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that it is difficult to consider the interaction between distributed power sources and network structures of active power distribution systems in the process of collaborative planning, a mathematical model and solution algorithm considering the balance of multi-agent interests and alternate optimization of planning and operation are proposed. Firstly, a three-tier optimization framework and mathematical model are established that aim at the optimal cost-benefit of distributed power sources and distribution networks, and embedded demand response and operation strategies; secondly, a simplified network structure based on the principle of topology equivalence is proposed. Based on the method, combined with the in-depth analysis of the topological structure change characteristics during the grid generation process, a rapid generation method of single-contact network based on the breaking method is proposed, and the encoding/decoding scheme of the particle swarm optimization algorithm combined with it is formulated; again, Based on the characteristics of network load and user demand response willingness, the dynamic time-of-use electricity price optimization method and operation strategy of active distribution network are proposed, and the source network collaborative planning and solving process with built-in refined operation is established; finally, it is verified by an example The rationality and effectiveness of the method are described.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSPEC50848.2020.9350958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Aiming at the problem that it is difficult to consider the interaction between distributed power sources and network structures of active power distribution systems in the process of collaborative planning, a mathematical model and solution algorithm considering the balance of multi-agent interests and alternate optimization of planning and operation are proposed. Firstly, a three-tier optimization framework and mathematical model are established that aim at the optimal cost-benefit of distributed power sources and distribution networks, and embedded demand response and operation strategies; secondly, a simplified network structure based on the principle of topology equivalence is proposed. Based on the method, combined with the in-depth analysis of the topological structure change characteristics during the grid generation process, a rapid generation method of single-contact network based on the breaking method is proposed, and the encoding/decoding scheme of the particle swarm optimization algorithm combined with it is formulated; again, Based on the characteristics of network load and user demand response willingness, the dynamic time-of-use electricity price optimization method and operation strategy of active distribution network are proposed, and the source network collaborative planning and solving process with built-in refined operation is established; finally, it is verified by an example The rationality and effectiveness of the method are described.