{"title":"Distributionally Robust Planning of Distribution Network Considering Flexibility of DSR","authors":"Hao Wang, Xin Ai, Xueqing Li, Xian Pan","doi":"10.1109/CEECT55960.2022.10030725","DOIUrl":null,"url":null,"abstract":"Massive demand-side resources (DSR) connected to distribution network today bring opportunities and challenges to distribution network planning (DNP), how to coordinate the planning and utilization of various resources to improve the flexibility of system operation has become an urgent problem to be solved. This paper proposes a joint distributionally robust planning model of the distribution network and multi resources. Firstly, flexibility evaluation indexes are established based on the relationship of flexibility supply and demand. Then a two-stage planning model is constructed both considering economy and flexibility, typical scenarios are generated from historical data and an ambiguity set based on mixed norm constraints is used to characterize the uncertainty of the probability distribution of the scenarios to drive the model solution. The advantages of the proposed model and method in terms of economy, flexibility, balancing conservatism and economy are verified by simulation.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT55960.2022.10030725","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
Massive demand-side resources (DSR) connected to distribution network today bring opportunities and challenges to distribution network planning (DNP), how to coordinate the planning and utilization of various resources to improve the flexibility of system operation has become an urgent problem to be solved. This paper proposes a joint distributionally robust planning model of the distribution network and multi resources. Firstly, flexibility evaluation indexes are established based on the relationship of flexibility supply and demand. Then a two-stage planning model is constructed both considering economy and flexibility, typical scenarios are generated from historical data and an ambiguity set based on mixed norm constraints is used to characterize the uncertainty of the probability distribution of the scenarios to drive the model solution. The advantages of the proposed model and method in terms of economy, flexibility, balancing conservatism and economy are verified by simulation.