{"title":"发电系统生产成本计算","authors":"M. Mazumdar","doi":"10.1109/PICA.1995.515292","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of computing the expected value of generating system production costs. First, using a stochastic model for the frequency and duration of generation outage, it provides an efficient Monte Carlo procedure for the evaluation of the Baleriaux formula. Secondly, it points out the need for using a stochastic model for estimating production costs with time-dependent constraints via Monte Carlo. Lastly, it considers a model where the chronological load also has a random component and obtains an expression for expected production costs for this situation.","PeriodicalId":294493,"journal":{"name":"Proceedings of Power Industry Computer Applications Conference","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Computation of power generation system production costs\",\"authors\":\"M. Mazumdar\",\"doi\":\"10.1109/PICA.1995.515292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers the problem of computing the expected value of generating system production costs. First, using a stochastic model for the frequency and duration of generation outage, it provides an efficient Monte Carlo procedure for the evaluation of the Baleriaux formula. Secondly, it points out the need for using a stochastic model for estimating production costs with time-dependent constraints via Monte Carlo. Lastly, it considers a model where the chronological load also has a random component and obtains an expression for expected production costs for this situation.\",\"PeriodicalId\":294493,\"journal\":{\"name\":\"Proceedings of Power Industry Computer Applications Conference\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Power Industry Computer Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PICA.1995.515292\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Power Industry Computer Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICA.1995.515292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computation of power generation system production costs
This paper considers the problem of computing the expected value of generating system production costs. First, using a stochastic model for the frequency and duration of generation outage, it provides an efficient Monte Carlo procedure for the evaluation of the Baleriaux formula. Secondly, it points out the need for using a stochastic model for estimating production costs with time-dependent constraints via Monte Carlo. Lastly, it considers a model where the chronological load also has a random component and obtains an expression for expected production costs for this situation.
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