Nehmedo Alamir, S. Kamel, T. Megahed, Maiya Hori, S. Abdelkader
{"title":"基于Snake优化器考虑需求响应的多微电网能量管理","authors":"Nehmedo Alamir, S. Kamel, T. Megahed, Maiya Hori, S. Abdelkader","doi":"10.1109/MEPCON55441.2022.10021750","DOIUrl":null,"url":null,"abstract":"This paper proposes a Snake optimizer (SO) for cooperative Energy Management (EM) for Multi-Microgrid (MMG) with incorporating the Demand Response (DR). The newly-developed SO algorithm is used to determine the main objective of the MMG operator, which is the reduction of the operating cost. The SO is inspired by the snakes' mating behavior. The Independence performance index (IPI) is employed to reduce power transactions with the main grid. The proposed SO technique is compared with the conventional PSO technique; the simulation results demonstrate the efficacy of the proposed SO in solving the EM problem in MMG by reducing the operational cost and enhancing the MMG Independence in both cases, with the DR program and without DR. The proposed technique is tested in two different cases; the IPI using the proposed SO is about 85% and 92 % in Case I and Case II, respectively, while in the case of PSO, IPI in the two cases is 75% and 86%, respectively.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy Management of Multi-Microgrid Considering Demand Response Using Snake Optimizer\",\"authors\":\"Nehmedo Alamir, S. Kamel, T. Megahed, Maiya Hori, S. Abdelkader\",\"doi\":\"10.1109/MEPCON55441.2022.10021750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a Snake optimizer (SO) for cooperative Energy Management (EM) for Multi-Microgrid (MMG) with incorporating the Demand Response (DR). The newly-developed SO algorithm is used to determine the main objective of the MMG operator, which is the reduction of the operating cost. The SO is inspired by the snakes' mating behavior. The Independence performance index (IPI) is employed to reduce power transactions with the main grid. The proposed SO technique is compared with the conventional PSO technique; the simulation results demonstrate the efficacy of the proposed SO in solving the EM problem in MMG by reducing the operational cost and enhancing the MMG Independence in both cases, with the DR program and without DR. The proposed technique is tested in two different cases; the IPI using the proposed SO is about 85% and 92 % in Case I and Case II, respectively, while in the case of PSO, IPI in the two cases is 75% and 86%, respectively.\",\"PeriodicalId\":174878,\"journal\":{\"name\":\"2022 23rd International Middle East Power Systems Conference (MEPCON)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 23rd International Middle East Power Systems Conference (MEPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEPCON55441.2022.10021750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 23rd International Middle East Power Systems Conference (MEPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEPCON55441.2022.10021750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Management of Multi-Microgrid Considering Demand Response Using Snake Optimizer
This paper proposes a Snake optimizer (SO) for cooperative Energy Management (EM) for Multi-Microgrid (MMG) with incorporating the Demand Response (DR). The newly-developed SO algorithm is used to determine the main objective of the MMG operator, which is the reduction of the operating cost. The SO is inspired by the snakes' mating behavior. The Independence performance index (IPI) is employed to reduce power transactions with the main grid. The proposed SO technique is compared with the conventional PSO technique; the simulation results demonstrate the efficacy of the proposed SO in solving the EM problem in MMG by reducing the operational cost and enhancing the MMG Independence in both cases, with the DR program and without DR. The proposed technique is tested in two different cases; the IPI using the proposed SO is about 85% and 92 % in Case I and Case II, respectively, while in the case of PSO, IPI in the two cases is 75% and 86%, respectively.