{"title":"基于动态惯性权粒子群算法的电厂负荷优化分配","authors":"D. Peng, Hanmei Zhao, Li Huang, Liqun Gu","doi":"10.1109/IConAC.2016.7604895","DOIUrl":null,"url":null,"abstract":"With the market-oriented reform in power industry, the research on the optimal distribution of load in thermal power plant has highlighted the importance. This paper established a model of the optimal load distribution about turbine, which take the constraints of thermal power plant with the valve point effect. A practical example analysis has verified that this improved algorithm in particle swarm optimization is feasible in solving the problem of optimal load distribution.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal load distribution in power plants based on dynamic inertia weight particle swarm algorithm\",\"authors\":\"D. Peng, Hanmei Zhao, Li Huang, Liqun Gu\",\"doi\":\"10.1109/IConAC.2016.7604895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the market-oriented reform in power industry, the research on the optimal distribution of load in thermal power plant has highlighted the importance. This paper established a model of the optimal load distribution about turbine, which take the constraints of thermal power plant with the valve point effect. A practical example analysis has verified that this improved algorithm in particle swarm optimization is feasible in solving the problem of optimal load distribution.\",\"PeriodicalId\":375052,\"journal\":{\"name\":\"2016 22nd International Conference on Automation and Computing (ICAC)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 22nd International Conference on Automation and Computing (ICAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IConAC.2016.7604895\",\"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 22nd International Conference on Automation and Computing (ICAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IConAC.2016.7604895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal load distribution in power plants based on dynamic inertia weight particle swarm algorithm
With the market-oriented reform in power industry, the research on the optimal distribution of load in thermal power plant has highlighted the importance. This paper established a model of the optimal load distribution about turbine, which take the constraints of thermal power plant with the valve point effect. A practical example analysis has verified that this improved algorithm in particle swarm optimization is feasible in solving the problem of optimal load distribution.
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