Operating system

Algorithm

Electrical engineering

Physics

Geology

Engineering

Artificial intelligence

Power (physics)

Magnet

Seismology

Voltage

Fault (geology)

Grid

Permanent magnet synchronous generator

Geometry

Control (management)

Grid code

Chopper

MATLAB

Transient (computer programming)

Mathematics

Computer science

Control theory (sociology)

Quantum mechanics

Wind power

Particle swarm optimization

Electric power system

SN Applied Sciences

Quick transient and smooth stable-state output of permanent magnet synchronous generator (PMSGs) is crucial for sustained power generation and grid code fulfillment specifically the fault ride-through (FRT) capability. Optimization techniques such as gray wolf optimizer (GWO), particle swarm optimizer (PSO) and whale optimizer algorithm (WOA) are proposed to realize a fast transient response and smooth operation of the PMSG. The proposed algorithms for machine-side converter are used to get the optimum power generated. Braking chopper (BC) was chosen as a solution for achieving the FRT for PMSG. The studied cases are the three-step wind speed change and symmetrical fault contingencies. In the first case, PSO gives better performance compared with conventional proportional integral, while in the second case, GWO and WOA give a better performance than PSO. GWO delivers the best output in the case of symmetrical fault compared to the WOA. MATLAB/Simulink environment is used to demonstrate the effectiveness of the proposed GWO technique including BC for improving the PMSG dynamic performance.

Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques