{"title":"以利润为基础的资源规划","authors":"M. Shahidehpour","doi":"10.1109/PES.2004.1373057","DOIUrl":null,"url":null,"abstract":"Summary form only given. Recent developments in the electric power utility industry restructuring provide flexible options for generation resource planning in a competitive electricity market is discussed. This presentation provides a model to analyze and remedy the existing conflicts for generation resource planning in restructured power systems. The objective of the generation resource planning model is to maximize the total expected profit of individual GENCOs over a planning horizon. The proposed algorithm will examine possible sites and markets for new generators, various unit types and capacities (such as gas, hydro, oil, coal, combined cycle), timing for the addition of new units, steps for the closure of old generators, generation scheduling of potential units, and strategies for the timely returns on investment.","PeriodicalId":236779,"journal":{"name":"IEEE Power Engineering Society General Meeting, 2004.","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Profit-based resource planning\",\"authors\":\"M. Shahidehpour\",\"doi\":\"10.1109/PES.2004.1373057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. Recent developments in the electric power utility industry restructuring provide flexible options for generation resource planning in a competitive electricity market is discussed. This presentation provides a model to analyze and remedy the existing conflicts for generation resource planning in restructured power systems. The objective of the generation resource planning model is to maximize the total expected profit of individual GENCOs over a planning horizon. The proposed algorithm will examine possible sites and markets for new generators, various unit types and capacities (such as gas, hydro, oil, coal, combined cycle), timing for the addition of new units, steps for the closure of old generators, generation scheduling of potential units, and strategies for the timely returns on investment.\",\"PeriodicalId\":236779,\"journal\":{\"name\":\"IEEE Power Engineering Society General Meeting, 2004.\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Power Engineering Society General Meeting, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2004.1373057\",\"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 General Meeting, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2004.1373057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Summary form only given. Recent developments in the electric power utility industry restructuring provide flexible options for generation resource planning in a competitive electricity market is discussed. This presentation provides a model to analyze and remedy the existing conflicts for generation resource planning in restructured power systems. The objective of the generation resource planning model is to maximize the total expected profit of individual GENCOs over a planning horizon. The proposed algorithm will examine possible sites and markets for new generators, various unit types and capacities (such as gas, hydro, oil, coal, combined cycle), timing for the addition of new units, steps for the closure of old generators, generation scheduling of potential units, and strategies for the timely returns on investment.