Enhancing power system stability by coordinating a wind turbine voltage regulator and lead-lag power system
Nader M A Ibrahim1, Attia A El-Fergany2, Bassam A Hemade3
1Department of Electrical, Faculty of Technology and Education, Suez University, P.O. Box: 43221, Suez, Egypt. nader.ibrahem@suezuni.edu.eg.
Scientific Reports
|April 30, 2025
Summary
This study optimizes wind turbine voltage regulators and power system stabilizers using the GOOSE Optimization Algorithm for improved grid stability. The GOA significantly enhances coordination and performance, outperforming other methods in various fault scenarios.
Area of Science:
- Electrical Engineering
- Power Systems
- Renewable Energy Integration
Background:
- Wind energy integration challenges power system stability due to reduced oscillation damping.
- Existing Wind Turbine Voltage Regulators (WT VRs) and Power System Stabilizers (PSS) often lack effective coordination.
Purpose of the Study:
- To optimize and coordinate WT PI-VR and PI-type LL-PSS gains using the GOOSE Optimization Algorithm (GOA).
- To enhance overall power system stability and performance with integrated renewable energy sources.
Main Methods:
- Utilized the GOOSE Optimization Algorithm (GOA) for gain optimization.
- Compared GOA with Osprey Optimization Algorithm (OOA) and Particle Swarm Optimizer (PSO).
- Evaluated PI-type LL-PSS against PID-PSS configurations under various fault conditions.
Main Results:
- GOA demonstrated significant improvements: 48.85% stability enhancement (vs. OOA, PID-PSS), 24.40% performance boost (vs. OOA, PI-type LL-PSS), 14.4% enhancement (PI-type LL-PSS vs. PID-PSS), and 34.23% performance increase (vs. PSO).
- Robustness evaluated using ITAE, settling time, and standard deviation under step changes, voltage sags, and short-circuit faults.
Conclusions:
- The proposed GOA-based coordination strategy effectively enhances power system stability and performance.
- The optimized PI-type LL-PSS offers a robust solution for integrating wind energy.
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