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Binary Grey Wolf Optimization Algorithm-Based Load Scheduling Using a Multi-Agent System in a Grid-Tied Solar Microgrid

Author

Listed:
  • Sujo Vasu

    (Department of Electrical and Electronics Engineering, Government Engineering College Thrissur, Affiliated to A P J Abdul Kalam Technological University, Thiruvananthapuram 695016, India)

  • P Ramesh Kumar

    (Department of Electrical and Electronics Engineering, Government Engineering College Wayanad, Affiliated to A P J Abdul Kalam Technological University, Thiruvananthapuram 695016, India
    These authors contributed equally to this work.)

  • E A Jasmin

    (Department of Electrical and Electronics Engineering, Government Engineering College Kozhikode, Affiliated to A P J Abdul Kalam Technological University, Thiruvananthapuram 695016, India
    These authors contributed equally to this work.)

Abstract

Microgrids play a crucial role in the development of future smart grids, with multiple interconnected microgrids forming large-scale multi-microgrid systems that operate as smart grids. Multi-agent system (MAS)-based control solutions are the most suitable for addressing such control challenges. This paper presents a demand-side management (DSM) strategy using a meta-heuristic optimization technique for minimizing the household energy consumption cost using MAS. The binary grey wolf optimization algorithm (BGWOA) optimizes load scheduling, reducing electricity costs, without compromising consumer preferences using time-of-day (ToD) tariffs. The communication agents and load agents comprise the MAS used to streamline load control operations. The results demonstrate that MAS-based load control using metaheuristic optimization techniques enhances demand-side management, thus minimizing the electricity costs while adhering to contradictory parameters like user preferences, appliance duration, and load atomicity. This makes renewable energy integration more cost-effective in smart grids, thereby ensuring affordable, reliable, and sustainable energy for all.

Suggested Citation

  • Sujo Vasu & P Ramesh Kumar & E A Jasmin, 2025. "Binary Grey Wolf Optimization Algorithm-Based Load Scheduling Using a Multi-Agent System in a Grid-Tied Solar Microgrid," Energies, MDPI, vol. 18(16), pages 1-27, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4423-:d:1727770
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    References listed on IDEAS

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