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 language | English |
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Pages (from-to) | 23578 - 23594 |
Number of pages | 17 |
Journal | IEEE Access |
Volume | 12 |
Early online date | 30 Jan 2024 |
DOIs | |
Publication status | Published - 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