{"title":"Optimization of Power Source Adapting to Renewable Energy Collected by Flexible DC","authors":"Yumeng Zhang, Yuzhu Zhao, Xiangyu Zhao, Yaowu Wu, Xianglu He, Xing Chen, Chongtao Bai","doi":"10.1109/ei250167.2020.9346599","DOIUrl":null,"url":null,"abstract":"In view of the consumption problem caused by the large-scale development of renewable energy in northwest China, an optimization model of matching power source for sending-end system is proposed, which is suitable for wide area renewable energy collected by flexible DC system. The complexity analysis and solution method of the model are also given. Based on bi-level programming, the model combines planning and operation of thermal power system in two different time scales. Finally, simulation results of the modified IEEE 30-bus system have verified the effectiveness of the proposed model. The research shows that the optimization model can realize matching power planning to improve the renewable energy consumption rate, and is suitable for the application scenario of high-voltage DC power grid at sending-end system.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ei250167.2020.9346599","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
In view of the consumption problem caused by the large-scale development of renewable energy in northwest China, an optimization model of matching power source for sending-end system is proposed, which is suitable for wide area renewable energy collected by flexible DC system. The complexity analysis and solution method of the model are also given. Based on bi-level programming, the model combines planning and operation of thermal power system in two different time scales. Finally, simulation results of the modified IEEE 30-bus system have verified the effectiveness of the proposed model. The research shows that the optimization model can realize matching power planning to improve the renewable energy consumption rate, and is suitable for the application scenario of high-voltage DC power grid at sending-end system.