Liangguo Qian, Shunfu Lin, W. Wang, Duc-Cuong Quach
{"title":"Research on Source-load Coordinated Dispatch Based on Multi-scenario Wind Power Consumption","authors":"Liangguo Qian, Shunfu Lin, W. Wang, Duc-Cuong Quach","doi":"10.1109/SPIES52282.2021.9633930","DOIUrl":null,"url":null,"abstract":"With the rapid development of new energy in China, the installed capacity of wind power has ranked first in the world. The randomness of wind power output increases the regulation pressure of conventional power supply, and the problem of wind power consumption is becoming more serious. This paper proposes a source-load coordinated optimal scheduling method considering the uncertainty of wind power. High energy load with adjustable characteristics and conventional power supply are used to participate in the optimal dispatch of power grid. Based on nonparametric kernel density estimation, a wind power output model is constructed, and a large number of simulation scenarios generated by sampling are clustered to generate typical scenarios. The maximum wind power consumption based on scenario analysis is constructed as the goal, and the source-load coordination optimization model is established. The simulation results show that the proposed method can effectively improve the wind power consumption level.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES52282.2021.9633930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
With the rapid development of new energy in China, the installed capacity of wind power has ranked first in the world. The randomness of wind power output increases the regulation pressure of conventional power supply, and the problem of wind power consumption is becoming more serious. This paper proposes a source-load coordinated optimal scheduling method considering the uncertainty of wind power. High energy load with adjustable characteristics and conventional power supply are used to participate in the optimal dispatch of power grid. Based on nonparametric kernel density estimation, a wind power output model is constructed, and a large number of simulation scenarios generated by sampling are clustered to generate typical scenarios. The maximum wind power consumption based on scenario analysis is constructed as the goal, and the source-load coordination optimization model is established. The simulation results show that the proposed method can effectively improve the wind power consumption level.