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

delete2024-01-01
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OA
AI
I
Itrat Fatima *
J
Jarallah Alqahtani
R
Raja Habib *
M
Muhammad Akram
T
Tabbasum Naz
A
Ali Alqahtani
M
Muhammad Atif
S
Sultan Alyami
DOI:10.1109/ACCESS.2024.3360340delete
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摘要

摘要

En 中文
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.
Keyword:
Microgrid
real-time pricing
renewable resources
PV systems
wind energy systems
demand-side management
mixed integer linear problem
supply-side management
chance constrained optimization

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

U
University of Lahore
学者数:
3.4K
论文数: 2.8K
被引数: 13
N
Najran University
学者数:
2.4K
论文数: 2.7K
被引数: 3.3K
U
university of strathclyde
学者数:
1.1W
论文数: 1.1W
被引数: 12
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