{"title":"超大输电网系统随机发电机可用性建模","authors":"Brandon Heath, John Lawhorn","doi":"10.1109/PMAPS.2016.7764170","DOIUrl":null,"url":null,"abstract":"This paper examines the possibility of performing nodal level loss of load analyses using a full stochastic optimization Monte Carlo modeling tool on a transmission network the size of MISO system.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Stochastic generator availability modeling on very large transmission network systems\",\"authors\":\"Brandon Heath, John Lawhorn\",\"doi\":\"10.1109/PMAPS.2016.7764170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the possibility of performing nodal level loss of load analyses using a full stochastic optimization Monte Carlo modeling tool on a transmission network the size of MISO system.\",\"PeriodicalId\":265474,\"journal\":{\"name\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMAPS.2016.7764170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS.2016.7764170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic generator availability modeling on very large transmission network systems
This paper examines the possibility of performing nodal level loss of load analyses using a full stochastic optimization Monte Carlo modeling tool on a transmission network the size of MISO system.
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