Enhancing Grid-Connected Microgrid Power Dispatch Efficiency through Bio-Inspired Optimization Algorithms

Fatima, Itrat and Alqahtani, Jarallah and Habib, Raja and Akram, Muhammad and Naz, Tabbasum and Alqahtani, Ali and Atif, Muhammad and AlYami, Sultan (2024) Enhancing Grid-Connected Microgrid Power Dispatch Efficiency through Bio-Inspired Optimization Algorithms. IEEE Access, 12. 23578 - 23594. ISSN 2169-3536 (https://doi.org/10.1109/access.2024.3360340)

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This work tackles the scheduling challenge of microgrids for smart homes, aiming to optimize energy management with both renewable and non-renewable sources. A power control center orchestrates the microgrid, coordinating distributed energy resources (DERs) for peak demand fulfillment and excess energy utilization. We propose a proportional-integral control system for efficient demand response, achieving reduced post-scheduling costs and a peak-to-average ratio. Comparative analysis reveals Ant Colony Optimization outperforms Binary Particle Swarm Optimization in cost and peak-to-average ratio reduction. Simulations explore two scenarios: Case 1 integrates with the main grid for reliability, while Case 2 utilizes solely renewable energy sources. Although Case 2 exhibits superior performance, Case 1’s dependence on the main grid offers greater real-world feasibility. Therefore, Case 1 with optimized DER scheduling emerges as the recommended solution for enhancing microgrid efficiency and ensuring reliable power supply in smart homes.