{"title":"Study on optimal operation of reservoir based on the niche and cross-selection operators' particle swarm optimization algorithm","authors":"J. Xie, Ni Wang, Gang Zhang, Tuo Xie","doi":"10.1109/IMCEC.2016.7867178","DOIUrl":null,"url":null,"abstract":"The study was done in order to overcome the disadvantages of classical optimization algorithm for reservoir optimal operation, such as curse of dimensionality and early maturity. Particle swarm optimization algorithm based on the niche, crossover and selection operators (NCSPSO), which carry out diversification treatment with history best position of particle in the process of optimization, was presented in this paper. The mathematical model and procedures for reservoir optimal operation by using NCSPSO were proposed in detail. The mathematical model was applied to specific reservoir. Study results show that this method has higher efficiency and performance in reservoir optimal operation and enhanced energy. NCSPSO will be a new method to solve the problem of reservoir optimal operation.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"437 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCEC.2016.7867178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The study was done in order to overcome the disadvantages of classical optimization algorithm for reservoir optimal operation, such as curse of dimensionality and early maturity. Particle swarm optimization algorithm based on the niche, crossover and selection operators (NCSPSO), which carry out diversification treatment with history best position of particle in the process of optimization, was presented in this paper. The mathematical model and procedures for reservoir optimal operation by using NCSPSO were proposed in detail. The mathematical model was applied to specific reservoir. Study results show that this method has higher efficiency and performance in reservoir optimal operation and enhanced energy. NCSPSO will be a new method to solve the problem of reservoir optimal operation.
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