{"title":"大规模电力能源市场中市场力量的识别","authors":"B. Lesieutre, HyungSeon Oh, R. Thomas, V. Donde","doi":"10.1109/HICSS.2006.209","DOIUrl":null,"url":null,"abstract":"Market power potential is a serious concern for efficient and competitive operation of centrally-dispatched electricity markets. Traditional measures for market power ignore underlying physical characteristics of the electric grid that may be exploited for local advantage. In our prior work we have proposed a revenue sensitivity-based approach for identifying market participants with market power potential, and we demonstrated detailed cases using a 30-bus system[1] [2] [3]. In this paper we address computational challenges for scaling our method to large systems, and we present practical extensions to a portion of our work that enables the evaluation of very large, RTO-scale electric power grids.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Identification of Market Power in Large-Scale Electric Energy Markets\",\"authors\":\"B. Lesieutre, HyungSeon Oh, R. Thomas, V. Donde\",\"doi\":\"10.1109/HICSS.2006.209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Market power potential is a serious concern for efficient and competitive operation of centrally-dispatched electricity markets. Traditional measures for market power ignore underlying physical characteristics of the electric grid that may be exploited for local advantage. In our prior work we have proposed a revenue sensitivity-based approach for identifying market participants with market power potential, and we demonstrated detailed cases using a 30-bus system[1] [2] [3]. In this paper we address computational challenges for scaling our method to large systems, and we present practical extensions to a portion of our work that enables the evaluation of very large, RTO-scale electric power grids.\",\"PeriodicalId\":432250,\"journal\":{\"name\":\"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HICSS.2006.209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.2006.209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of Market Power in Large-Scale Electric Energy Markets
Market power potential is a serious concern for efficient and competitive operation of centrally-dispatched electricity markets. Traditional measures for market power ignore underlying physical characteristics of the electric grid that may be exploited for local advantage. In our prior work we have proposed a revenue sensitivity-based approach for identifying market participants with market power potential, and we demonstrated detailed cases using a 30-bus system[1] [2] [3]. In this paper we address computational challenges for scaling our method to large systems, and we present practical extensions to a portion of our work that enables the evaluation of very large, RTO-scale electric power grids.