{"title":"能源与储备协同优化的损失机会成本模型","authors":"Deqiang Gan, Eugene Litvinov","doi":"10.1109/PESS.2002.1043652","DOIUrl":null,"url":null,"abstract":"The primary goal of this work is to investigate the basic energy and reserve dispatch optimization (co-optimization) in the setting of a pool-based market. Of particular interest is the modeling of lost opportunity cost introduced by reserve allocation. We derive the marginal costs of energy and reserves under a variety of market designs. We also analyze existence, algorithm, and multiplicity of optimal solutions. The results of this study are utilized to support the reserve market design and implementation in ISO New England control area.","PeriodicalId":117177,"journal":{"name":"IEEE Power Engineering Society Summer Meeting,","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A lost opportunity cost model for energy and reserve co-optimization\",\"authors\":\"Deqiang Gan, Eugene Litvinov\",\"doi\":\"10.1109/PESS.2002.1043652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The primary goal of this work is to investigate the basic energy and reserve dispatch optimization (co-optimization) in the setting of a pool-based market. Of particular interest is the modeling of lost opportunity cost introduced by reserve allocation. We derive the marginal costs of energy and reserves under a variety of market designs. We also analyze existence, algorithm, and multiplicity of optimal solutions. The results of this study are utilized to support the reserve market design and implementation in ISO New England control area.\",\"PeriodicalId\":117177,\"journal\":{\"name\":\"IEEE Power Engineering Society Summer Meeting,\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Power Engineering Society Summer Meeting,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESS.2002.1043652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Power Engineering Society Summer Meeting,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESS.2002.1043652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A lost opportunity cost model for energy and reserve co-optimization
The primary goal of this work is to investigate the basic energy and reserve dispatch optimization (co-optimization) in the setting of a pool-based market. Of particular interest is the modeling of lost opportunity cost introduced by reserve allocation. We derive the marginal costs of energy and reserves under a variety of market designs. We also analyze existence, algorithm, and multiplicity of optimal solutions. The results of this study are utilized to support the reserve market design and implementation in ISO New England control area.