Bingying Peng, Haifeng Zhao, Jianmin Bai, Wenzhuo Wang
{"title":"Study on Solution of Renewable Energy Accommodation Based on Quantitative Analysis Model","authors":"Bingying Peng, Haifeng Zhao, Jianmin Bai, Wenzhuo Wang","doi":"10.1109/SPIES52282.2021.9633808","DOIUrl":null,"url":null,"abstract":"With the increased capacity of renewable energy integration, the conflict of renewable energy accommodation has become increasingly prominent. In order to explore measures to enhance the capacity of renewable energy accommodation, a quantitative analysis model of renewable energy accommodation is established for the internal network-free constraint system. Based on the statistical analysis of the renewable energy characteristics, an optimization algorithm of this model is proposed. On this basis, a quantitative model of renewable energy accommodation analysis considering different modes of captive power plant and HVDC transmission system is established. Finally, based on the renewable energy accommodation quantitative analysis model established in this paper, the impact of peak regulating rate, proportion of captive power plant, HVDC transmission system and other factors on the renewable energy curtailment rate of renewable energy is analyzed, Some solutions and suggestions to improve the renewable accommodation ability is proposed. The model is also used to analyze the impact of the two outward delivery modes, medium and long-term transaction and short-term spot transaction, on the renewable energy accommodation and the economy of HVDC transmission system. Some suggestions of comprehensive utilization of HVDC transmission system are proposed.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","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/SPIES52282.2021.9633808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
With the increased capacity of renewable energy integration, the conflict of renewable energy accommodation has become increasingly prominent. In order to explore measures to enhance the capacity of renewable energy accommodation, a quantitative analysis model of renewable energy accommodation is established for the internal network-free constraint system. Based on the statistical analysis of the renewable energy characteristics, an optimization algorithm of this model is proposed. On this basis, a quantitative model of renewable energy accommodation analysis considering different modes of captive power plant and HVDC transmission system is established. Finally, based on the renewable energy accommodation quantitative analysis model established in this paper, the impact of peak regulating rate, proportion of captive power plant, HVDC transmission system and other factors on the renewable energy curtailment rate of renewable energy is analyzed, Some solutions and suggestions to improve the renewable accommodation ability is proposed. The model is also used to analyze the impact of the two outward delivery modes, medium and long-term transaction and short-term spot transaction, on the renewable energy accommodation and the economy of HVDC transmission system. Some suggestions of comprehensive utilization of HVDC transmission system are proposed.