{"title":"基于动态定价的并网微网能源管理系统最优功率组合","authors":"E. Mahesh Ramachandran, K. V. Vijaya Chandrakala","doi":"10.1109/i-PACT44901.2019.8960088","DOIUrl":null,"url":null,"abstract":"This paper proposes a control algorithm for an efficient Energy Management System (EMS) meeting towards minimizing the operating cost of the micro grid in grid connected mode. The microgrid system consists of distributed energy sources mainly renewable energy sources, photovoltaic (PV), Wind Turbine (WT), and Battery Energy Storage (BES) which is lithium-ion battery system is considered as power mix in the analysis. The convex optimization technique is used to determine the optimal scheduling of the microgrid system. To the EMS system, the forecasted wind power, solar power and the electricity market price i.e. time of demand price is given as input parameters. The convex optimization techniques helps to control and provide the day ahead scheduling of power production from each renewable sources, charging and discharging time of the battery storage system. The work tries to show the importance of an energy management system for a dynamic power market from an economic point of view.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Dynamic Pricing Based Optimal Power Mix of Grid Connected Micro Grid Using Energy Management System\",\"authors\":\"E. Mahesh Ramachandran, K. V. Vijaya Chandrakala\",\"doi\":\"10.1109/i-PACT44901.2019.8960088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a control algorithm for an efficient Energy Management System (EMS) meeting towards minimizing the operating cost of the micro grid in grid connected mode. The microgrid system consists of distributed energy sources mainly renewable energy sources, photovoltaic (PV), Wind Turbine (WT), and Battery Energy Storage (BES) which is lithium-ion battery system is considered as power mix in the analysis. The convex optimization technique is used to determine the optimal scheduling of the microgrid system. To the EMS system, the forecasted wind power, solar power and the electricity market price i.e. time of demand price is given as input parameters. The convex optimization techniques helps to control and provide the day ahead scheduling of power production from each renewable sources, charging and discharging time of the battery storage system. The work tries to show the importance of an energy management system for a dynamic power market from an economic point of view.\",\"PeriodicalId\":214890,\"journal\":{\"name\":\"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/i-PACT44901.2019.8960088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/i-PACT44901.2019.8960088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Pricing Based Optimal Power Mix of Grid Connected Micro Grid Using Energy Management System
This paper proposes a control algorithm for an efficient Energy Management System (EMS) meeting towards minimizing the operating cost of the micro grid in grid connected mode. The microgrid system consists of distributed energy sources mainly renewable energy sources, photovoltaic (PV), Wind Turbine (WT), and Battery Energy Storage (BES) which is lithium-ion battery system is considered as power mix in the analysis. The convex optimization technique is used to determine the optimal scheduling of the microgrid system. To the EMS system, the forecasted wind power, solar power and the electricity market price i.e. time of demand price is given as input parameters. The convex optimization techniques helps to control and provide the day ahead scheduling of power production from each renewable sources, charging and discharging time of the battery storage system. The work tries to show the importance of an energy management system for a dynamic power market from an economic point of view.