{"title":"智能电网经济调度问题的减载概率模型","authors":"Z. Hasan, M. El-Hawary","doi":"10.1109/EPEC.2017.8286204","DOIUrl":null,"url":null,"abstract":"This paper proposes a probabilistic model to the load reduction (LR) as demand side management (DSM) method for the economic dispatch problem in smart grid network (SGED). The objective is to drive the mathematical model of the probabilistic model and the problem. Then solve the problem using Black Hole optimization algorithm for two Test systems: three generation units with valve point effect and six generation units with prohibited operation zone and ramp rate limits.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Load reduction probabilistic model for smart grid network economic dispatch problem\",\"authors\":\"Z. Hasan, M. El-Hawary\",\"doi\":\"10.1109/EPEC.2017.8286204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a probabilistic model to the load reduction (LR) as demand side management (DSM) method for the economic dispatch problem in smart grid network (SGED). The objective is to drive the mathematical model of the probabilistic model and the problem. Then solve the problem using Black Hole optimization algorithm for two Test systems: three generation units with valve point effect and six generation units with prohibited operation zone and ramp rate limits.\",\"PeriodicalId\":141250,\"journal\":{\"name\":\"2017 IEEE Electrical Power and Energy Conference (EPEC)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Electrical Power and Energy Conference (EPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEC.2017.8286204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2017.8286204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load reduction probabilistic model for smart grid network economic dispatch problem
This paper proposes a probabilistic model to the load reduction (LR) as demand side management (DSM) method for the economic dispatch problem in smart grid network (SGED). The objective is to drive the mathematical model of the probabilistic model and the problem. Then solve the problem using Black Hole optimization algorithm for two Test systems: three generation units with valve point effect and six generation units with prohibited operation zone and ramp rate limits.