{"title":"电力系统生产仿真研究","authors":"Z. Yamayee, Hossein Hakimmashhadi","doi":"10.1109/TPAS.1985.318865","DOIUrl":null,"url":null,"abstract":"Predicting expected generation for different power plants as well as the system's total expected production cost is an integral part of quantitative power system analyses. Numerous publications presenting \"exact\" as well as \"approximate\" methods of solving stochastic production simulation problem exist in the literature. However, there is no one publication where a comprehensive review of this extremely important topic is presented. Such a review is the subject of this paper.","PeriodicalId":227345,"journal":{"name":"IEEE Transactions on Power Apparatus and Systems","volume":"187 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1985-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Production Simulation for Power System Studies\",\"authors\":\"Z. Yamayee, Hossein Hakimmashhadi\",\"doi\":\"10.1109/TPAS.1985.318865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Predicting expected generation for different power plants as well as the system's total expected production cost is an integral part of quantitative power system analyses. Numerous publications presenting \\\"exact\\\" as well as \\\"approximate\\\" methods of solving stochastic production simulation problem exist in the literature. However, there is no one publication where a comprehensive review of this extremely important topic is presented. Such a review is the subject of this paper.\",\"PeriodicalId\":227345,\"journal\":{\"name\":\"IEEE Transactions on Power Apparatus and Systems\",\"volume\":\"187 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1985-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Power Apparatus and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TPAS.1985.318865\",\"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 Transactions on Power Apparatus and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TPAS.1985.318865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting expected generation for different power plants as well as the system's total expected production cost is an integral part of quantitative power system analyses. Numerous publications presenting "exact" as well as "approximate" methods of solving stochastic production simulation problem exist in the literature. However, there is no one publication where a comprehensive review of this extremely important topic is presented. Such a review is the subject of this paper.
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