S. Anbuchandran, S. T. Jaya Christa, S. Kannan, A. Bhuvanesh
{"title":"利用模糊萤火虫优化增强分布式发电机的配电系统灵活性和规划性","authors":"S. Anbuchandran, S. T. Jaya Christa, S. Kannan, A. Bhuvanesh","doi":"10.1007/s42835-024-02010-7","DOIUrl":null,"url":null,"abstract":"<p>Traditional power grids experience significant energy loss during distribution. Distributed generation (DG) technologies offer a promising solution by introducing smaller power sources closer to demand centers. These localized sources relieve a certain pressure on centralized power plants that reduces transmission losses. However, improper sizing and on-site placement of DGs can cause technical challenges, economic drawbacks, and environmental concerns. Historically, the process of identifying optimal sites and capacities for DGs has presented grid operators with formidable computational challenges, intensifying their workload. Nonetheless, the advent of sophisticated optimization software has revolutionized this task, offering a more efficient and manageable solution for operators navigating the complexities of grid management. This research deals the utilization of a fuzzified firefly optimization (FFO) algorithm to enhance the allocation of distributed generators (DGs) within a distribution system. Through strategic placement of diverse DG types, the FFO strategy targets the minimization of both real and reactive power losses. Subsequently, the study assesses the influence of this optimization on critical system performance metrics. To gauge the efficacy of the approach across varied load conditions, the investigation integrates different DG types into an IEEE 85-bus test system and conducts simulations spanning from below-rated (0.5) to above-rated (1.5) load capacities.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization\",\"authors\":\"S. Anbuchandran, S. T. Jaya Christa, S. Kannan, A. Bhuvanesh\",\"doi\":\"10.1007/s42835-024-02010-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Traditional power grids experience significant energy loss during distribution. Distributed generation (DG) technologies offer a promising solution by introducing smaller power sources closer to demand centers. These localized sources relieve a certain pressure on centralized power plants that reduces transmission losses. However, improper sizing and on-site placement of DGs can cause technical challenges, economic drawbacks, and environmental concerns. Historically, the process of identifying optimal sites and capacities for DGs has presented grid operators with formidable computational challenges, intensifying their workload. Nonetheless, the advent of sophisticated optimization software has revolutionized this task, offering a more efficient and manageable solution for operators navigating the complexities of grid management. This research deals the utilization of a fuzzified firefly optimization (FFO) algorithm to enhance the allocation of distributed generators (DGs) within a distribution system. Through strategic placement of diverse DG types, the FFO strategy targets the minimization of both real and reactive power losses. Subsequently, the study assesses the influence of this optimization on critical system performance metrics. To gauge the efficacy of the approach across varied load conditions, the investigation integrates different DG types into an IEEE 85-bus test system and conducts simulations spanning from below-rated (0.5) to above-rated (1.5) load capacities.</p>\",\"PeriodicalId\":15577,\"journal\":{\"name\":\"Journal of Electrical Engineering & Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering & Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s42835-024-02010-7\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-02010-7","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization
Traditional power grids experience significant energy loss during distribution. Distributed generation (DG) technologies offer a promising solution by introducing smaller power sources closer to demand centers. These localized sources relieve a certain pressure on centralized power plants that reduces transmission losses. However, improper sizing and on-site placement of DGs can cause technical challenges, economic drawbacks, and environmental concerns. Historically, the process of identifying optimal sites and capacities for DGs has presented grid operators with formidable computational challenges, intensifying their workload. Nonetheless, the advent of sophisticated optimization software has revolutionized this task, offering a more efficient and manageable solution for operators navigating the complexities of grid management. This research deals the utilization of a fuzzified firefly optimization (FFO) algorithm to enhance the allocation of distributed generators (DGs) within a distribution system. Through strategic placement of diverse DG types, the FFO strategy targets the minimization of both real and reactive power losses. Subsequently, the study assesses the influence of this optimization on critical system performance metrics. To gauge the efficacy of the approach across varied load conditions, the investigation integrates different DG types into an IEEE 85-bus test system and conducts simulations spanning from below-rated (0.5) to above-rated (1.5) load capacities.
期刊介绍:
ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies.
The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.