Hongzhang Sheng, Chengfu Wang, Yunhui Dong, Jun Liang, Ming Yang
{"title":"Multi-timescale Active Distribution Network Scheduling Considering Demand-Side Response and User Comprehensive Satisfaction","authors":"Hongzhang Sheng, Chengfu Wang, Yunhui Dong, Jun Liang, Ming Yang","doi":"10.1109/IAS44978.2020.9334803","DOIUrl":null,"url":null,"abstract":"A large number of distributed generators (DGs) integrates into the distribution network, which changes the power flow, increases the power fluctuations and complicates the scheduling of the distribution network. To cope with that, a multi-timescale scheduling method, which considers the demand side response as well as user satisfaction, is proposed in this paper. Firstly, in the day-ahead stage, both the generation side and demand side are incorporated to minimize the operating costs and reduce the impact of DGs. Secondly, in the real-time stage, the model predictive control (MPC) method is introduced, smoothing the power fluctuations and maximizing the consumed renewable energy. Finally, the user comprehensive satisfaction is considered, which can ensure the users’ benefit when shifting the demand and improve the flexibility of the user to participate in scheduling. Simulation on an improved IEEE-33 bus distribution system verifies the effectiveness of the proposed method.","PeriodicalId":115239,"journal":{"name":"2020 IEEE Industry Applications Society Annual Meeting","volume":"159 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Industry Applications Society Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS44978.2020.9334803","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
A large number of distributed generators (DGs) integrates into the distribution network, which changes the power flow, increases the power fluctuations and complicates the scheduling of the distribution network. To cope with that, a multi-timescale scheduling method, which considers the demand side response as well as user satisfaction, is proposed in this paper. Firstly, in the day-ahead stage, both the generation side and demand side are incorporated to minimize the operating costs and reduce the impact of DGs. Secondly, in the real-time stage, the model predictive control (MPC) method is introduced, smoothing the power fluctuations and maximizing the consumed renewable energy. Finally, the user comprehensive satisfaction is considered, which can ensure the users’ benefit when shifting the demand and improve the flexibility of the user to participate in scheduling. Simulation on an improved IEEE-33 bus distribution system verifies the effectiveness of the proposed method.