Eectrical grid linked to PV/wind system based fuzzy controller and PID controller tuned by PSO for improving LVRT.

Area of Science:

• Electrical Engineering
• Power Systems
• Renewable Energy Integration

Background:

• Grid-connected renewable energy sources like wind and solar farms require robust low voltage ride-through (LVRT) capabilities.
• Grid faults, such as line-to-line (LL) faults, can severely impact grid stability and voltage levels.

Purpose of the Study:

• To investigate the effectiveness of a Static Synchronous Compensator (STATCOM) in enhancing the LVRT of a hybrid power system.
• To compare the performance of STATCOM controlled by Fuzzy Logic Control (FLC) against Proportional-Integral-Derivative (PID) control during grid faults.

Main Methods:

• A hybrid energy model with wind and PV generation was simulated using Matlab/Simulink.
• A 100 MVAR STATCOM was connected at the point of common coupling (PCC).
• Particle Swarm Optimization (PSO) was used to tune the PID controller parameters for comparison.

Main Results:

• STATCOM with FLC demonstrated superior performance in improving LVRT compared to STATCOM with PID control.
• The FLC-controlled STATCOM effectively mitigated voltage dips and improved power quality during LL grid faults.
• The hybrid system with FLC-based STATCOM showed enhanced stability and resilience.

Conclusions:

• STATCOM, particularly when controlled by FLC, is a highly effective solution for improving LVRT in grids with significant renewable energy penetration.
• FLC offers a more robust and adaptive control strategy for STATCOMs compared to traditional PID control in mitigating grid fault impacts.
• The proposed FLC-based STATCOM system provides a reliable method for maintaining grid stability and power quality during disturbances.