Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp
Ahsanullah Memon1,2, Mohd Wazir Bin Mustafa1, Waqas Anjum1,3
1School of Electrical Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor, Malaysia.
Plos One
|May 13, 2022
Summary
This study enhances brushless double-fed induction generator (BDFIG) control for wind turbines, improving low voltage ride through (LVRT) and reactive power delivery using the Salp Swarm Algorithm (SSA). The SSA-controlled BDFIG demonstrates superior performance over PSO in grid stability and fault tolerance.
Area of Science:
- Electrical Engineering
- Renewable Energy Systems
- Control Systems
Background:
- Brushless double-fed induction generators (BDFIGs) are crucial for wind turbines, offering robustness and variable speed operation.
- Existing control strategies for BDFIGs require enhancement for low voltage ride through (LVRT) and grid code-compliant reactive power control.
- Ensuring stable dynamic response during normal and fault conditions is essential for grid integration of BDFIGs.
Purpose of the Study:
- To develop a rotor-side converter control scheme for BDFIGs that provides reactive power to the grid.
- To analytically calculate decaying flux for improved control.
- To enhance the dynamic response and LVRT capability of BDFIGs using the Salp Swarm Algorithm (SSA).
Main Methods:
- Analytical calculation of decaying flux to inform control strategy.
- Development of a rotor-side converter control scheme.
- Implementation and evaluation of the Salp Swarm Algorithm (SSA) for BDFIG control, compared against Particle Swarm Optimization (PSO).
Main Results:
- The proposed SSA-based control scheme significantly improves the dynamic response of the BDFIG.
- Enhanced LVRT capability is achieved, preventing disconnection during grid voltage disturbances.
- Effective regulation of active and reactive power, along with fault current limitation, was demonstrated.
Conclusions:
- The SSA-based control scheme offers a superior method for managing BDFIGs in wind energy conversion systems.
- The developed strategy effectively addresses challenges in LVRT and reactive power control, crucial for grid integration.
- The research validates the efficacy of SSA in optimizing BDFIG performance for stable and reliable wind power generation.
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