Miao Yang, Hongji Zhang, Tao Ding, Ning Mi, Xiaozhen Ma, Ning Qiao, Qiang Li, Hua Jing
{"title":"Stochastic Unit Commitment Model Considering the Impact of Renewable Energy Policies","authors":"Miao Yang, Hongji Zhang, Tao Ding, Ning Mi, Xiaozhen Ma, Ning Qiao, Qiang Li, Hua Jing","doi":"10.1109/ICPST56889.2023.10164860","DOIUrl":null,"url":null,"abstract":"In the context of the worldwide environmental problems, it has become a global consensus to increase the installed capacity and the consumption level of renewable energy resources. In recent years, many countries, including China, have proposed various renewable energy policies, such as establishing the carbon emission trading market and developing the renewable energy quota system. Besides, demand response programs have been raised to alleviate the carbon pressure on the system and increase renewable energy consumption. However, limited effort has been expanded in quantitatively analyzing the impact of various renewable energy policy factors on the consumption level of renewable energy resources. Furthermore, the volatility and stochasticity associated with the high penetration of renewable energy sources pose a great challenge to the operation and dispatch of power systems. To solve these problems, this paper proposes a stochastic unit commitment model considering the carbon emissions trading/ carbon emission permits (CET/CEP) policies, the renewable energy quota system, and the demand response. Numerical results show the validity of the proposed model.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Power Science and Technology (ICPST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST56889.2023.10164860","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 the context of the worldwide environmental problems, it has become a global consensus to increase the installed capacity and the consumption level of renewable energy resources. In recent years, many countries, including China, have proposed various renewable energy policies, such as establishing the carbon emission trading market and developing the renewable energy quota system. Besides, demand response programs have been raised to alleviate the carbon pressure on the system and increase renewable energy consumption. However, limited effort has been expanded in quantitatively analyzing the impact of various renewable energy policy factors on the consumption level of renewable energy resources. Furthermore, the volatility and stochasticity associated with the high penetration of renewable energy sources pose a great challenge to the operation and dispatch of power systems. To solve these problems, this paper proposes a stochastic unit commitment model considering the carbon emissions trading/ carbon emission permits (CET/CEP) policies, the renewable energy quota system, and the demand response. Numerical results show the validity of the proposed model.