A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Haotian Deng, Jing Jiang, Haiya Qian, Hongjian Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissions. Innovations in electric technologies, information and communication technologies can facilitate better management of the power transmission and distribution in the microgrid. This paper proposes an optimization strategy, which considers distributed generations, photovoltaics and wind turbines, based on particle swarm optimization for the management of the microgrid. Simulation results demonstrate that with the optimal generation resources management and the effective use of demand side management in the microgrid, the proposed strategy can reduce electricity costs by 29.283% and 32.158% on weekdays and weekends, respectively.
Original languageEnglish
Title of host publicationICSGSC2022 conference Proceedings
Subtitle of host publicationThe 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022)
Place of PublicationPiscataway, US
PublisherIEEE
Number of pages6
Publication statusAccepted/In press - 17 Jun 2022
Event2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC) - Chengdu, China
Duration: 22 Oct 202224 Oct 2022
http://www.csgsc.net/

Conference

Conference2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC)
Country/TerritoryChina
CityChengdu
Period22/10/2224/10/22
Internet address

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