Chen Junsheng, Liu Lijun, Xu Hanwei, Huang Weidong, Lin Yufang
{"title":"Joint Source-Load Optimal Scheduling Considering Demand Response and Flexible Supply-Demand Balance","authors":"Chen Junsheng, Liu Lijun, Xu Hanwei, Huang Weidong, Lin Yufang","doi":"10.1109/CEECT55960.2022.10030122","DOIUrl":null,"url":null,"abstract":"From the source-load perspective, considering the safety operation constraints of grid dispatching, a dispatching model that takes into account flexible load demand response and power system flexibility is established. Based on the price-based demand response and highly flexible load model, the flexible load demand response model is built to respond to the level of wind-photovoltaic output, guide load-side users to change their power consumption behavior, regulate the demand for power system flexibility and improve the consumption rate of new energy. Based on the supply-demand balance mechanism of power system flexibility and the uncertainty of wind-photovoltaic output and load, we construct power system flexibility indexes in different time scales, combine with the comprehensive economic cost index of grid operation, consider source-load coordination, design joint optimal dispatching strategy, and generate typical scenarios based on improved deep embedding clustering algorithm to establish optimal dispatching model, so as to reduce the influence of uncertainty of wind-photovoltaic output and load demand on the optimization results. The uncertainty of wind-photovoltaic output and load demand can reduce the impact on the optimization results. Finally, the feasibility and rationality of the proposed model are verified by an example analysis of a regional power grid.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"1 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/CEECT55960.2022.10030122","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 source-load perspective, considering the safety operation constraints of grid dispatching, a dispatching model that takes into account flexible load demand response and power system flexibility is established. Based on the price-based demand response and highly flexible load model, the flexible load demand response model is built to respond to the level of wind-photovoltaic output, guide load-side users to change their power consumption behavior, regulate the demand for power system flexibility and improve the consumption rate of new energy. Based on the supply-demand balance mechanism of power system flexibility and the uncertainty of wind-photovoltaic output and load, we construct power system flexibility indexes in different time scales, combine with the comprehensive economic cost index of grid operation, consider source-load coordination, design joint optimal dispatching strategy, and generate typical scenarios based on improved deep embedding clustering algorithm to establish optimal dispatching model, so as to reduce the influence of uncertainty of wind-photovoltaic output and load demand on the optimization results. The uncertainty of wind-photovoltaic output and load demand can reduce the impact on the optimization results. Finally, the feasibility and rationality of the proposed model are verified by an example analysis of a regional power grid.