{"title":"基于区间算法的不确定发电公司竞价策略研究","authors":"G. Gutiérrez-Alcaraz, Ana C. Nunez-Ponce","doi":"10.1109/NAPS.2013.6666865","DOIUrl":null,"url":null,"abstract":"A proper assessment of the uncertainties resulting from the behavior of Generation Companies (GenCos) in wholesale electricity auctions helps to determine the best strategic bidding strategy. This paper proposes to optimize bidding strategies using interval arithmetic (IA). The resulting optimization problem is a multi-objective problem (MOP) which is solved by using the ε-constraint method. The new technique provides insights into market behavior with repeated bidding.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategic Generation Companies bidding with uncertainty using interval arithmetic\",\"authors\":\"G. Gutiérrez-Alcaraz, Ana C. Nunez-Ponce\",\"doi\":\"10.1109/NAPS.2013.6666865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A proper assessment of the uncertainties resulting from the behavior of Generation Companies (GenCos) in wholesale electricity auctions helps to determine the best strategic bidding strategy. This paper proposes to optimize bidding strategies using interval arithmetic (IA). The resulting optimization problem is a multi-objective problem (MOP) which is solved by using the ε-constraint method. The new technique provides insights into market behavior with repeated bidding.\",\"PeriodicalId\":421943,\"journal\":{\"name\":\"2013 North American Power Symposium (NAPS)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS.2013.6666865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2013.6666865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Strategic Generation Companies bidding with uncertainty using interval arithmetic
A proper assessment of the uncertainties resulting from the behavior of Generation Companies (GenCos) in wholesale electricity auctions helps to determine the best strategic bidding strategy. This paper proposes to optimize bidding strategies using interval arithmetic (IA). The resulting optimization problem is a multi-objective problem (MOP) which is solved by using the ε-constraint method. The new technique provides insights into market behavior with repeated bidding.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
