{"title":"微电网中可再生能源集成的经济高效解决方案","authors":"Anum Mumtaz, Sadiq Ahmad, Abdullah Shoukat","doi":"10.1109/ICT-PEP57242.2022.9988887","DOIUrl":null,"url":null,"abstract":"Providing stable, economical, clean, and quality energy to the customer is a massive mission that constantly exists inside the electric-powered energy sector. In this paper, we evolved an evolutionary algorithmic method to derive the optimal management method for a cost-effective microgrid operation in the off-grid mode. This method will ensure the advanced hosting ability of the grid for renewable supply accommodation with decreased losses. The ideal electricity scheduling is performed with the aid of using regulating the manageable parameters of the grid and incorporating the overall device constraints, and system balance criteria consisting of voltage stability index, line stability index, and small-sign stability. The proposed method is examined at the actual distribution device. A microgrid-primarily based, totally distributed electric power community is designed for the usage of variable renewable electricity assets. In this method, renewable penetration has been maximized with the aid of improving the load capacity of the device, and this approach presents minimal energy loss. Using this approach, the penetration level of renewable electricity sources within the microgrid is improved by 87.5% extra than the bottom case with a load-ability of 94.9% more than the baseload, and the active energy loss is reduced.","PeriodicalId":163424,"journal":{"name":"2022 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cost-Effective Solution for Renewable Energy Integration in Microgrid System\",\"authors\":\"Anum Mumtaz, Sadiq Ahmad, Abdullah Shoukat\",\"doi\":\"10.1109/ICT-PEP57242.2022.9988887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Providing stable, economical, clean, and quality energy to the customer is a massive mission that constantly exists inside the electric-powered energy sector. In this paper, we evolved an evolutionary algorithmic method to derive the optimal management method for a cost-effective microgrid operation in the off-grid mode. This method will ensure the advanced hosting ability of the grid for renewable supply accommodation with decreased losses. The ideal electricity scheduling is performed with the aid of using regulating the manageable parameters of the grid and incorporating the overall device constraints, and system balance criteria consisting of voltage stability index, line stability index, and small-sign stability. The proposed method is examined at the actual distribution device. A microgrid-primarily based, totally distributed electric power community is designed for the usage of variable renewable electricity assets. In this method, renewable penetration has been maximized with the aid of improving the load capacity of the device, and this approach presents minimal energy loss. Using this approach, the penetration level of renewable electricity sources within the microgrid is improved by 87.5% extra than the bottom case with a load-ability of 94.9% more than the baseload, and the active energy loss is reduced.\",\"PeriodicalId\":163424,\"journal\":{\"name\":\"2022 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP)\",\"volume\":\"162 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICT-PEP57242.2022.9988887\",\"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 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT-PEP57242.2022.9988887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cost-Effective Solution for Renewable Energy Integration in Microgrid System
Providing stable, economical, clean, and quality energy to the customer is a massive mission that constantly exists inside the electric-powered energy sector. In this paper, we evolved an evolutionary algorithmic method to derive the optimal management method for a cost-effective microgrid operation in the off-grid mode. This method will ensure the advanced hosting ability of the grid for renewable supply accommodation with decreased losses. The ideal electricity scheduling is performed with the aid of using regulating the manageable parameters of the grid and incorporating the overall device constraints, and system balance criteria consisting of voltage stability index, line stability index, and small-sign stability. The proposed method is examined at the actual distribution device. A microgrid-primarily based, totally distributed electric power community is designed for the usage of variable renewable electricity assets. In this method, renewable penetration has been maximized with the aid of improving the load capacity of the device, and this approach presents minimal energy loss. Using this approach, the penetration level of renewable electricity sources within the microgrid is improved by 87.5% extra than the bottom case with a load-ability of 94.9% more than the baseload, and the active energy loss is reduced.