{"title":"智能住宅的能源管理:实时模糊逻辑方法","authors":"","doi":"10.1016/j.epsr.2024.111057","DOIUrl":null,"url":null,"abstract":"<div><p>Energy management within smart residential homes is a long-standing challenge that involves effective scheduling of electric vehicle charging and discharging while utilizing available photovoltaic resources and efficiently drawing power from the electric grid to meet household energy demands. In this work, we propose a fuzzy logic-based real-time energy management control system from the perspective of an electric utility to achieve these objectives while simultaneously minimizing electricity costs for both the utility and customers, promoting reliable power grid operation, and mitigating distribution transformer overloading. The efficacy of the proposed energy management controller is evaluated on a secondary distribution system, and delivered results in computational time of just 52 ms. Further investigation is conducted on a large-scale power distribution test feeder, comprising diverse secondary distribution groups. The findings indicate that the proposed approach offers significant benefits to all stakeholders.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624009428/pdfft?md5=4d0ffae40da8ec54d1cbd80aa48204e8&pid=1-s2.0-S0378779624009428-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Energy management for smart residential homes: A real-time fuzzy logic approach\",\"authors\":\"\",\"doi\":\"10.1016/j.epsr.2024.111057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Energy management within smart residential homes is a long-standing challenge that involves effective scheduling of electric vehicle charging and discharging while utilizing available photovoltaic resources and efficiently drawing power from the electric grid to meet household energy demands. In this work, we propose a fuzzy logic-based real-time energy management control system from the perspective of an electric utility to achieve these objectives while simultaneously minimizing electricity costs for both the utility and customers, promoting reliable power grid operation, and mitigating distribution transformer overloading. The efficacy of the proposed energy management controller is evaluated on a secondary distribution system, and delivered results in computational time of just 52 ms. Further investigation is conducted on a large-scale power distribution test feeder, comprising diverse secondary distribution groups. The findings indicate that the proposed approach offers significant benefits to all stakeholders.</p></div>\",\"PeriodicalId\":50547,\"journal\":{\"name\":\"Electric Power Systems Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0378779624009428/pdfft?md5=4d0ffae40da8ec54d1cbd80aa48204e8&pid=1-s2.0-S0378779624009428-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electric Power Systems Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378779624009428\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779624009428","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Energy management for smart residential homes: A real-time fuzzy logic approach
Energy management within smart residential homes is a long-standing challenge that involves effective scheduling of electric vehicle charging and discharging while utilizing available photovoltaic resources and efficiently drawing power from the electric grid to meet household energy demands. In this work, we propose a fuzzy logic-based real-time energy management control system from the perspective of an electric utility to achieve these objectives while simultaneously minimizing electricity costs for both the utility and customers, promoting reliable power grid operation, and mitigating distribution transformer overloading. The efficacy of the proposed energy management controller is evaluated on a secondary distribution system, and delivered results in computational time of just 52 ms. Further investigation is conducted on a large-scale power distribution test feeder, comprising diverse secondary distribution groups. The findings indicate that the proposed approach offers significant benefits to all stakeholders.
期刊介绍:
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.