{"title":"电力市场的负荷参与:批发/传输和零售/分配成本与拥塞建模的日前和小时前市场耦合","authors":"M. Caramanis, J. M. Foster, Evegeniy A. Goldis","doi":"10.1109/SMARTGRID.2010.5622096","DOIUrl":null,"url":null,"abstract":"We consider load-side participation in electricity markets construed broadly to include energy as well as reserve transactions. Extending work in optimal plug-in-hybrid electric vehicle (PHEV) charging, we develop a decision support tool for load-side participation in energy markets, recognizing that it must be responsive to local distribution network dynamic congestion and marginal line loses. We address the related sequential day-ahead and hour-ahead/real-time markets by modeling the interaction of a Load Aggregator (LA) participating in the transmission-level wholesale electricity market with its Smart Microgrid Affiliates (SMAs) connected at the distribution network. We optimize bidding of the LA to the day-ahead market coordinated with real-time market bidding of both the LA and SMAs.","PeriodicalId":106908,"journal":{"name":"2010 First IEEE International Conference on Smart Grid Communications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Load Participation in Electricity Markets: Day-Ahead and Hour-Ahead Market Coupling with Wholesale/Transmission and Retail/Distribution Cost and Congestion Modeling\",\"authors\":\"M. Caramanis, J. M. Foster, Evegeniy A. Goldis\",\"doi\":\"10.1109/SMARTGRID.2010.5622096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider load-side participation in electricity markets construed broadly to include energy as well as reserve transactions. Extending work in optimal plug-in-hybrid electric vehicle (PHEV) charging, we develop a decision support tool for load-side participation in energy markets, recognizing that it must be responsive to local distribution network dynamic congestion and marginal line loses. We address the related sequential day-ahead and hour-ahead/real-time markets by modeling the interaction of a Load Aggregator (LA) participating in the transmission-level wholesale electricity market with its Smart Microgrid Affiliates (SMAs) connected at the distribution network. We optimize bidding of the LA to the day-ahead market coordinated with real-time market bidding of both the LA and SMAs.\",\"PeriodicalId\":106908,\"journal\":{\"name\":\"2010 First IEEE International Conference on Smart Grid Communications\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 First IEEE International Conference on Smart Grid Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMARTGRID.2010.5622096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 First IEEE International Conference on Smart Grid Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMARTGRID.2010.5622096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load Participation in Electricity Markets: Day-Ahead and Hour-Ahead Market Coupling with Wholesale/Transmission and Retail/Distribution Cost and Congestion Modeling
We consider load-side participation in electricity markets construed broadly to include energy as well as reserve transactions. Extending work in optimal plug-in-hybrid electric vehicle (PHEV) charging, we develop a decision support tool for load-side participation in energy markets, recognizing that it must be responsive to local distribution network dynamic congestion and marginal line loses. We address the related sequential day-ahead and hour-ahead/real-time markets by modeling the interaction of a Load Aggregator (LA) participating in the transmission-level wholesale electricity market with its Smart Microgrid Affiliates (SMAs) connected at the distribution network. We optimize bidding of the LA to the day-ahead market coordinated with real-time market bidding of both the LA and SMAs.
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