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

Itrat Fatima, Jarallah Alqahtani, Raja Habib, Muhammad Akram, Tabbasum Naz, Ali Alqahtani, Muhammad Atif, Sultan AlYami

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
11 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)23578 - 23594
Number of pages17
JournalIEEE Access
Volume12
Early online date30 Jan 2024
DOIs
Publication statusPublished - 16 Feb 2024

Keywords

  • chance constrained optimization
  • supply-side management
  • mixed integer linear problem
  • demand-side management
  • wind energy systems
  • PV systems
  • renewable resources
  • real-time pricing
  • microgrid

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