An Efficient Decision-Making Approach for Optimal Energy Management of Microgrids

Najmeh Bazmohammadi, Ali Karimpour, Somayyeh Bazmohammadi, Amjad Anvari-Moghaddam, Josep M. Guerrero

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

78 Downloads (Pure)

Abstract

In this paper, energy management problem of microgrids is formulated in the framework of non-linear multi-objective optimization problems. The goal is to develop an efficient strategy to supply the microgrids consumers with clean electricity in the most economical way. Moreover, in order to improve system performance and enhance energy efficiency, minimization of system losses is also considered in the optimization scheme. An efficient decision-making approach which adopts fuzzy adaptive particle swarm optimization algorithm is suggested to find the best compromise strategy. The proposed method has been applied to a typical microgrid comprises a variety of distributed energy resources and storage devices. Simulation results under different scenarios approve effectiveness of the proposed approach.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE Milan PowerTech
Number of pages6
PublisherIEEE Press
Publication dateJun 2019
ISBN (Electronic)9781538647226
DOIs
Publication statusPublished - Jun 2019
Event2019 IEEE Milan PowerTech - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Conference

Conference2019 IEEE Milan PowerTech
CountryItaly
CityMilan
Period23/06/201927/06/2019

    Fingerprint

Keywords

  • Energy management system
  • Fuzzy systems
  • Microgrids
  • Particle swarm optimization
  • Power loss

Cite this