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Article Dans Une Revue Computers and Electrical Engineering Année : 2018

Multi-objective optimization and energy management in renewable based AC/DC microgrid

Indragandhi V.
  • Fonction : Auteur
Logesh R.
  • Fonction : Auteur
Subramaniyaswamy V.
  • Fonction : Auteur
Vijayakumar V.
  • Fonction : Auteur
Lorna Uden
  • Fonction : Auteur

Résumé

The problems with the design of hybrid micro-grids are system price and service quality. In this paper, we solve these problems by utilizing renewable resources optimally, maintaining State of Charge (SOC) in batteries. The proposed system also defines the lowest rate for power exchanged between the AC/DC micro-grids. Photovoltaic and wind energy are utilized as key resources in the system. Also, storage banks are coupled to both micro-grids and the fuel cell is the hold-up resource to maximize the consistency of the generation system. Supervisory controller ensures the maximum utilization of resources and by maintaining SOC to manage the exchange of power between micro-grids. This research focuses on power management in AC/DC micro-grid, and its optimization has been investigated by Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. The result shows that MOPSO yields positive performance and the proposed system is recommended as the best substitute to improve electric energy utilization in remote areas.
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Dates et versions

hal-04335660 , version 1 (11-12-2023)

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Citer

Indragandhi V., Logesh R., Subramaniyaswamy V., Vijayakumar V., Patrick Siarry, et al.. Multi-objective optimization and energy management in renewable based AC/DC microgrid. Computers and Electrical Engineering, 2018, 70, pp.179-198. ⟨10.1016/j.compeleceng.2018.01.023⟩. ⟨hal-04335660⟩

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