{"title":"基于粒子群优化技术的并网直流混合微电网能量管理策略","authors":"Abdel-Aziz Salem, A. El-Shenawy, M. Hamad","doi":"10.1109/ICM50269.2020.9331823","DOIUrl":null,"url":null,"abstract":"Energy management for micro-grids is a vital issue for the control system. Proper control system should fulfill load demands and ensure system stability with the minimum cost. This paper presents an energy management strategy (EMS) for grid connected DC hybrid micro-grid with cost minimization while considering the dynamics of renewable sources. Modified particle swarm optimization (MPSO) is used to solve the energy management optimization problem. Genetic algorithm (GA) is also used to compare the MPSO result. Hierarchical control is used to combine MPSO with the energy management strategy to enhance MPSO performance and achieve optimum efficiency.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy Management Strategy For Grid Connected DC Hybrid Micro Grid Using Particle Swarm Optimization Technique\",\"authors\":\"Abdel-Aziz Salem, A. El-Shenawy, M. Hamad\",\"doi\":\"10.1109/ICM50269.2020.9331823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy management for micro-grids is a vital issue for the control system. Proper control system should fulfill load demands and ensure system stability with the minimum cost. This paper presents an energy management strategy (EMS) for grid connected DC hybrid micro-grid with cost minimization while considering the dynamics of renewable sources. Modified particle swarm optimization (MPSO) is used to solve the energy management optimization problem. Genetic algorithm (GA) is also used to compare the MPSO result. Hierarchical control is used to combine MPSO with the energy management strategy to enhance MPSO performance and achieve optimum efficiency.\",\"PeriodicalId\":243968,\"journal\":{\"name\":\"2020 32nd International Conference on Microelectronics (ICM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 32nd International Conference on Microelectronics (ICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM50269.2020.9331823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 32nd International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM50269.2020.9331823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Management Strategy For Grid Connected DC Hybrid Micro Grid Using Particle Swarm Optimization Technique
Energy management for micro-grids is a vital issue for the control system. Proper control system should fulfill load demands and ensure system stability with the minimum cost. This paper presents an energy management strategy (EMS) for grid connected DC hybrid micro-grid with cost minimization while considering the dynamics of renewable sources. Modified particle swarm optimization (MPSO) is used to solve the energy management optimization problem. Genetic algorithm (GA) is also used to compare the MPSO result. Hierarchical control is used to combine MPSO with the energy management strategy to enhance MPSO performance and achieve optimum efficiency.
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