{"title":"基于野马优化器的dg优化分配的功率损耗最小化","authors":"Shaimaa O. Selim, A. Selim, S. Kamel","doi":"10.1109/MEPCON55441.2022.10021726","DOIUrl":null,"url":null,"abstract":"This research discusses optimum distributed generator (DG) allocation using the Wild horse optimizer algorithm (WHO) for optimally distributed generators (DGs) placement and size. The method introduced aims to decrease the power loss in power systems that leading to improving the voltage profile. Hence, the forward-backward load flow is enforced to calculate the main objective function. Dissimilar numbers of DGs (one DG, Two DGs, and three DGs) are considered to decrease the power loss and enhance the voltage profile. Our study considers two distribution systems-IEEE 33-node and 69-node test systems are used to confirm the results. In comparison to previous optimization methods, the results which are simulated show that the WHO strategy is successful in allocating DGs.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power Loss Minimization Using Optimal Allocation of DGs Based on Wild Horse Optimizer\",\"authors\":\"Shaimaa O. Selim, A. Selim, S. Kamel\",\"doi\":\"10.1109/MEPCON55441.2022.10021726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research discusses optimum distributed generator (DG) allocation using the Wild horse optimizer algorithm (WHO) for optimally distributed generators (DGs) placement and size. The method introduced aims to decrease the power loss in power systems that leading to improving the voltage profile. Hence, the forward-backward load flow is enforced to calculate the main objective function. Dissimilar numbers of DGs (one DG, Two DGs, and three DGs) are considered to decrease the power loss and enhance the voltage profile. Our study considers two distribution systems-IEEE 33-node and 69-node test systems are used to confirm the results. In comparison to previous optimization methods, the results which are simulated show that the WHO strategy is successful in allocating DGs.\",\"PeriodicalId\":174878,\"journal\":{\"name\":\"2022 23rd International Middle East Power Systems Conference (MEPCON)\",\"volume\":\"285 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 23rd International Middle East Power Systems Conference (MEPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEPCON55441.2022.10021726\",\"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/MEPCON55441.2022.10021726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power Loss Minimization Using Optimal Allocation of DGs Based on Wild Horse Optimizer
This research discusses optimum distributed generator (DG) allocation using the Wild horse optimizer algorithm (WHO) for optimally distributed generators (DGs) placement and size. The method introduced aims to decrease the power loss in power systems that leading to improving the voltage profile. Hence, the forward-backward load flow is enforced to calculate the main objective function. Dissimilar numbers of DGs (one DG, Two DGs, and three DGs) are considered to decrease the power loss and enhance the voltage profile. Our study considers two distribution systems-IEEE 33-node and 69-node test systems are used to confirm the results. In comparison to previous optimization methods, the results which are simulated show that the WHO strategy is successful in allocating DGs.