Mohamed El-Hendawi, H. Gabbar, G. El-Saady, El-Nobi A. Ibrahim
{"title":"提高MG与抽水配水系统的最佳运行成本","authors":"Mohamed El-Hendawi, H. Gabbar, G. El-Saady, El-Nobi A. Ibrahim","doi":"10.1109/SEGE.2017.8052789","DOIUrl":null,"url":null,"abstract":"The sector of water pumping is one of the greatest consumers of electricity. Integrating microgrids and renewable energy sources facilitates stainable energy future. This paper proposes an optimal operation of energy management system in a microgrid with water pumping. The microgrid includes PV, wind turbine, and energy storage system (ESS). The proposed method determines the optimal hour-by-hour scheduling for the microgrid system while it meets the required demand and includes a water pumping station. Genetic algorithm (GA) was applied to solve the problem with an objective of total operational cost minimization. The method was applied to a typical microgrid system with different parallel-connected pump configurations. The results indicate high potential savings for the total operating cost.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Enhanced MG with optimum operational cost of pumping water distribution systems\",\"authors\":\"Mohamed El-Hendawi, H. Gabbar, G. El-Saady, El-Nobi A. Ibrahim\",\"doi\":\"10.1109/SEGE.2017.8052789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sector of water pumping is one of the greatest consumers of electricity. Integrating microgrids and renewable energy sources facilitates stainable energy future. This paper proposes an optimal operation of energy management system in a microgrid with water pumping. The microgrid includes PV, wind turbine, and energy storage system (ESS). The proposed method determines the optimal hour-by-hour scheduling for the microgrid system while it meets the required demand and includes a water pumping station. Genetic algorithm (GA) was applied to solve the problem with an objective of total operational cost minimization. The method was applied to a typical microgrid system with different parallel-connected pump configurations. The results indicate high potential savings for the total operating cost.\",\"PeriodicalId\":404327,\"journal\":{\"name\":\"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEGE.2017.8052789\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEGE.2017.8052789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced MG with optimum operational cost of pumping water distribution systems
The sector of water pumping is one of the greatest consumers of electricity. Integrating microgrids and renewable energy sources facilitates stainable energy future. This paper proposes an optimal operation of energy management system in a microgrid with water pumping. The microgrid includes PV, wind turbine, and energy storage system (ESS). The proposed method determines the optimal hour-by-hour scheduling for the microgrid system while it meets the required demand and includes a water pumping station. Genetic algorithm (GA) was applied to solve the problem with an objective of total operational cost minimization. The method was applied to a typical microgrid system with different parallel-connected pump configurations. The results indicate high potential savings for the total operating cost.