International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Design and Development of Autonomous Control for Solar Microgrids Using Multi-Agent Systems

Abstract

The integration of renewable energy sources, particularly solar power, into the energy grid requires effective battery management systems (BMS) to optimize energy storage and usage. This research presents a multi-agent reinforcement learning (MARL) approach to distributed optimization of solar microgrids, focusing on enhancing energy efficiency and load satisfaction. The proposed method employs multiple agents to collaboratively manage battery charging and discharging cycles based on solar generation and load demand. Simulation results indicate that the MARL approach significantly outperforms conventional methods in terms of load satisfaction and energy efficiency, demonstrating its potential for enhancing solar microgrid operations.

Country : India

1 Ankita Fouzdar2 Dr. Ruchi Pandey

  1. PG Scholar, Electrical and Electronics Department, GGITS, Jabalpur, Madhya Pradesh, India
  2. Professor, Electrical and Electronics Department, GGITS, Jabalpur, Madhya Pradesh, India

IRJIET, Volume 8, Issue 11, November 2024 pp. 236-240

doi.org/10.47001/IRJIET/2024.811029

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