Related Experiment Video
Updated: May 23, 2025
06:04
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
Published on: February 14, 2025
176
Electric Eel foraging optimization based control design of islanded microgrid
M A Ebrahim1, Ahmed S Ragab2, Beshoy Abdou Aziz3
1Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt. mohamed.mohamed@feng.bu.edu.eg.
Scientific Reports
|March 10, 2025
Summary
This study introduces the Electric Eel Foraging Optimization (EEFO) technique to enhance control systems for islanded microgrids. EEFO offers superior performance in tuning controllers for stable voltage and frequency regulation, and seamless grid reconnection.
Area of Science:
- Electrical Engineering
- Control Systems
- Optimization Algorithms
Background:
- Islanded microgrids face control challenges due to lack of inertia and parameter uncertainties.
- Traditional control methods struggle with highly nonlinear and interdependent microgrid systems.
Purpose of the Study:
- To propose a novel optimization technique for tuning microgrid control parameters.
- To enhance the stability and performance of islanded microgrids.
Main Methods:
- Developed the Electric Eel Foraging Optimization (EEFO) technique.
- Implemented a hierarchical control structure with proportional resonant (PR) controllers and a synchronization loop.
- Compared EEFO with Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO).
Main Results:
- EEFO demonstrated superior convergence speed and solution quality compared to PSO and GWO.
- Achieved effective active power sharing with minimal voltage (2.4%) and frequency (0.42%) overshoot.
- Demonstrated minimal settling times for voltage (0.25 s) and frequency (0.53 s).
- Verified seamless grid reconnection capabilities.
Conclusions:
- The proposed EEFO technique effectively tunes control parameters for islanded microgrids.
- EEFO offers a robust and feasible solution for practical microgrid applications, validated through simulations and hardware-in-the-loop emulation.
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