{"title":"基于离散微分动态规划-渐进优化算法组合方法的水电站优化调度研究","authors":"Xuan Yingji, Mei Yadong, Xu Jiangsong","doi":"10.1109/SERA.2009.26","DOIUrl":null,"url":null,"abstract":"The progressive optimization algorithm over-depends on the initial state, it needs to assume certain different types of initial test strategies and corresponding initial test paths, the calculation process repeats 2 to 5 times. Considering the shortfalls mentioned above, this paper presents discrete differential dynamic programming-progressive optimum combination method which is applied in the operation of hydropower station and designs a solution based on the method to optimize the operation of hydropower stations. Calculation example shows that this method is effective, highly reliable in global optimization and full of prospects.","PeriodicalId":333607,"journal":{"name":"2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Research of Hydropower Stations Optimal Operation Based on the Discrete Differential Dynamic Programming - Progressive Optimization Algorithm Combination Method\",\"authors\":\"Xuan Yingji, Mei Yadong, Xu Jiangsong\",\"doi\":\"10.1109/SERA.2009.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The progressive optimization algorithm over-depends on the initial state, it needs to assume certain different types of initial test strategies and corresponding initial test paths, the calculation process repeats 2 to 5 times. Considering the shortfalls mentioned above, this paper presents discrete differential dynamic programming-progressive optimum combination method which is applied in the operation of hydropower station and designs a solution based on the method to optimize the operation of hydropower stations. Calculation example shows that this method is effective, highly reliable in global optimization and full of prospects.\",\"PeriodicalId\":333607,\"journal\":{\"name\":\"2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SERA.2009.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SERA.2009.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of Hydropower Stations Optimal Operation Based on the Discrete Differential Dynamic Programming - Progressive Optimization Algorithm Combination Method
The progressive optimization algorithm over-depends on the initial state, it needs to assume certain different types of initial test strategies and corresponding initial test paths, the calculation process repeats 2 to 5 times. Considering the shortfalls mentioned above, this paper presents discrete differential dynamic programming-progressive optimum combination method which is applied in the operation of hydropower station and designs a solution based on the method to optimize the operation of hydropower stations. Calculation example shows that this method is effective, highly reliable in global optimization and full of prospects.