{"title":"考虑超分辨率不确定性的连续轨迹鲁棒单元承诺","authors":"Bo Zhou, X. Ai, Jiakun Fang, W. Yao, J. Wen","doi":"10.1109/PESGM41954.2020.9281606","DOIUrl":null,"url":null,"abstract":"To guarantee the operational security of the renewable power system, the uncertainty of renewable energy generation (REG) should be fully considered. However, the traditional robust unit commitment (RUC) cannot access the variation of REG inside the operational period. Hence, this paper proposes the continuous-trajectory (CT) RUC considering the beyond-the-resolution (BtR) uncertainty. The critical impact factors characterizing the BtR variation are analyzed, and then the BtR uncertainty is modeled. The mathematical formulation of CT-RUC is derived and shifted from the time domain to the time-dependent function space so that the optimization can be tractably solved. The comparison between traditional RUC and CT-RUC demonstrates that the consideration of the BtR uncertainty can result in a more robust solution.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Continuous-Trajectory Robust Unit Commitment Considering Beyond-the-Resolution Uncertainty\",\"authors\":\"Bo Zhou, X. Ai, Jiakun Fang, W. Yao, J. Wen\",\"doi\":\"10.1109/PESGM41954.2020.9281606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To guarantee the operational security of the renewable power system, the uncertainty of renewable energy generation (REG) should be fully considered. However, the traditional robust unit commitment (RUC) cannot access the variation of REG inside the operational period. Hence, this paper proposes the continuous-trajectory (CT) RUC considering the beyond-the-resolution (BtR) uncertainty. The critical impact factors characterizing the BtR variation are analyzed, and then the BtR uncertainty is modeled. The mathematical formulation of CT-RUC is derived and shifted from the time domain to the time-dependent function space so that the optimization can be tractably solved. The comparison between traditional RUC and CT-RUC demonstrates that the consideration of the BtR uncertainty can result in a more robust solution.\",\"PeriodicalId\":106476,\"journal\":{\"name\":\"2020 IEEE Power & Energy Society General Meeting (PESGM)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Power & Energy Society General Meeting (PESGM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESGM41954.2020.9281606\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Power & Energy Society General Meeting (PESGM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESGM41954.2020.9281606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Continuous-Trajectory Robust Unit Commitment Considering Beyond-the-Resolution Uncertainty
To guarantee the operational security of the renewable power system, the uncertainty of renewable energy generation (REG) should be fully considered. However, the traditional robust unit commitment (RUC) cannot access the variation of REG inside the operational period. Hence, this paper proposes the continuous-trajectory (CT) RUC considering the beyond-the-resolution (BtR) uncertainty. The critical impact factors characterizing the BtR variation are analyzed, and then the BtR uncertainty is modeled. The mathematical formulation of CT-RUC is derived and shifted from the time domain to the time-dependent function space so that the optimization can be tractably solved. The comparison between traditional RUC and CT-RUC demonstrates that the consideration of the BtR uncertainty can result in a more robust solution.