{"title":"基于发电、生态和航运的城市水电站优化调度与评价研究","authors":"Xiaojuan Li, Mutao Huang, Jinmeng Wang","doi":"10.1109/ACPEE51499.2021.9436887","DOIUrl":null,"url":null,"abstract":"With the development of hydropower stations towards multi-objective development, such as water supply, flood control, power generation and navigation, rational allocation of water resources has become a major problem. Based on liuzhou Honghua Hydropower station, an optimal scheduling model with multi-constraint, multi-objective, and multi-variable hydropower stations is proposed supported by the objective function based on the maximum generating capacity, navigation capacity and the least breakdown power. The Pareto optimal solution is employed to solve the multi-objective problem of optimal scheduling of hydropower stations. Consequently, a comprehensive evaluation model for optimal scheduling of hydropower stations was established according to the TOPISIS and gray correlation degree analysis. By selecting the scheduling solutions of hydropower stations, the result could be more accurate and closer to real conditions, which could provide guidance for project decision-makers.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on the Optimal Scheduling and Evaluation of Urban Hydropower Stations Based on Power Generation, Ecology and Shipping\",\"authors\":\"Xiaojuan Li, Mutao Huang, Jinmeng Wang\",\"doi\":\"10.1109/ACPEE51499.2021.9436887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of hydropower stations towards multi-objective development, such as water supply, flood control, power generation and navigation, rational allocation of water resources has become a major problem. Based on liuzhou Honghua Hydropower station, an optimal scheduling model with multi-constraint, multi-objective, and multi-variable hydropower stations is proposed supported by the objective function based on the maximum generating capacity, navigation capacity and the least breakdown power. The Pareto optimal solution is employed to solve the multi-objective problem of optimal scheduling of hydropower stations. Consequently, a comprehensive evaluation model for optimal scheduling of hydropower stations was established according to the TOPISIS and gray correlation degree analysis. By selecting the scheduling solutions of hydropower stations, the result could be more accurate and closer to real conditions, which could provide guidance for project decision-makers.\",\"PeriodicalId\":127882,\"journal\":{\"name\":\"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)\",\"volume\":\"198 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACPEE51499.2021.9436887\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE51499.2021.9436887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on the Optimal Scheduling and Evaluation of Urban Hydropower Stations Based on Power Generation, Ecology and Shipping
With the development of hydropower stations towards multi-objective development, such as water supply, flood control, power generation and navigation, rational allocation of water resources has become a major problem. Based on liuzhou Honghua Hydropower station, an optimal scheduling model with multi-constraint, multi-objective, and multi-variable hydropower stations is proposed supported by the objective function based on the maximum generating capacity, navigation capacity and the least breakdown power. The Pareto optimal solution is employed to solve the multi-objective problem of optimal scheduling of hydropower stations. Consequently, a comprehensive evaluation model for optimal scheduling of hydropower stations was established according to the TOPISIS and gray correlation degree analysis. By selecting the scheduling solutions of hydropower stations, the result could be more accurate and closer to real conditions, which could provide guidance for project decision-makers.