{"title":"发电系统规划的不精确模糊模型","authors":"Q. Hu, G. Huang, Wei Li","doi":"10.1109/PEAM.2012.6612524","DOIUrl":null,"url":null,"abstract":"In this study, a lower-side attainment values based inexact fuzzy programming (LA-IFP) approach is developed for supporting regional electric power generation systems (REPGS) planning under uncertainties. It can tackle uncertainties expressed as intervals, fuzzy sets as well as their combination in REPGS planning problems. Fuzzy relationships in the model can be transformed into corresponding deterministic ones without additional constraints. A hypothetical but representative REPGS is adopted to demonstrate its applicability. Reasonable energy supply, electricity generation, capacity expansion and emission mitigation plans are generated with minimized system costs.","PeriodicalId":130967,"journal":{"name":"2012 Power Engineering and Automation Conference","volume":"34 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An inexact fuzzy model for electric power generation systems planning\",\"authors\":\"Q. Hu, G. Huang, Wei Li\",\"doi\":\"10.1109/PEAM.2012.6612524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a lower-side attainment values based inexact fuzzy programming (LA-IFP) approach is developed for supporting regional electric power generation systems (REPGS) planning under uncertainties. It can tackle uncertainties expressed as intervals, fuzzy sets as well as their combination in REPGS planning problems. Fuzzy relationships in the model can be transformed into corresponding deterministic ones without additional constraints. A hypothetical but representative REPGS is adopted to demonstrate its applicability. Reasonable energy supply, electricity generation, capacity expansion and emission mitigation plans are generated with minimized system costs.\",\"PeriodicalId\":130967,\"journal\":{\"name\":\"2012 Power Engineering and Automation Conference\",\"volume\":\"34 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Power Engineering and Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEAM.2012.6612524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Power Engineering and Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEAM.2012.6612524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An inexact fuzzy model for electric power generation systems planning
In this study, a lower-side attainment values based inexact fuzzy programming (LA-IFP) approach is developed for supporting regional electric power generation systems (REPGS) planning under uncertainties. It can tackle uncertainties expressed as intervals, fuzzy sets as well as their combination in REPGS planning problems. Fuzzy relationships in the model can be transformed into corresponding deterministic ones without additional constraints. A hypothetical but representative REPGS is adopted to demonstrate its applicability. Reasonable energy supply, electricity generation, capacity expansion and emission mitigation plans are generated with minimized system costs.
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