{"title":"水电短期调度的模拟退火方法","authors":"K. Wong, Y. W. Wong, Yunbei Yu","doi":"10.1109/ANN.1993.264327","DOIUrl":null,"url":null,"abstract":"This paper develops a hydro-scheduling algorithm based on the simulated annealing technique for a two-interval schedule horizon. In the algorithm, the load balance constraint, the total water discharge constraint and the constraint on the operation limits of the equivalent thermal generator are fully accounted for. The performance of the algorithm is demonstrated through its application to a test system. The results are presented and are compared to a conventional method.<<ETX>>","PeriodicalId":121897,"journal":{"name":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A simulated annealing approach to short-term hydro scheduling\",\"authors\":\"K. Wong, Y. W. Wong, Yunbei Yu\",\"doi\":\"10.1109/ANN.1993.264327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops a hydro-scheduling algorithm based on the simulated annealing technique for a two-interval schedule horizon. In the algorithm, the load balance constraint, the total water discharge constraint and the constraint on the operation limits of the equivalent thermal generator are fully accounted for. The performance of the algorithm is demonstrated through its application to a test system. The results are presented and are compared to a conventional method.<<ETX>>\",\"PeriodicalId\":121897,\"journal\":{\"name\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANN.1993.264327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1993.264327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simulated annealing approach to short-term hydro scheduling
This paper develops a hydro-scheduling algorithm based on the simulated annealing technique for a two-interval schedule horizon. In the algorithm, the load balance constraint, the total water discharge constraint and the constraint on the operation limits of the equivalent thermal generator are fully accounted for. The performance of the algorithm is demonstrated through its application to a test system. The results are presented and are compared to a conventional method.<>