Interaction energy flow paths analysis of PMSG-based wind power integrated systems during LVRT and its parameter...

Area of Science:

• Electrical Engineering
• Power Systems Engineering
• Renewable Energy Integration

Background:

• Wind power systems using permanent magnetic synchronous generators (PMSG) face oscillation instability during low-voltage ride-through (LVRT).
• Existing methods struggle to effectively manage dynamic stability under fault conditions.

Purpose of the Study:

• To propose a novel parameter adjustment strategy for LVRT control in PMSG-based wind power systems.
• To enhance oscillation stability and improve voltage support and damping characteristics during grid faults.

Main Methods:

• Developed a modular state-space model of PMSG under fault transients, dividing the system into five subsystems.
• Derived dynamic energy functions and analyzed interaction energy flow paths considering LVRT control.
• Optimized LVRT control parameters based on the rate of change of total interaction energy.

Main Results:

• Effectively improved the damping level of the PMSG system under fault transient conditions.
• Successfully enhanced system voltage support during the LVRT process.
• Validated the strategy's effectiveness using a MATLAB/Simulink model.

Conclusions:

• The proposed interaction energy path optimization strategy effectively mitigates oscillation instability in PMSG wind power systems during LVRT.
• The method provides a robust approach for improving both voltage support and damping characteristics, crucial for grid stability.