Synchronous Generator Excitation Control Parameters Were Optimized

Following the capacity of Power Grid and the range of power supply were developed to become larger than before, the Power Industry is moving towards greater reliance on the safety and stability of the power system. It is an effective way to improve the stability of the power system by adjusting the excitation control parameters for synchronous generator based on the real-time and exact system models and parameters.Particle Swarm Optimization (PSO), as one kind of the Evolution Arithmetic (EA) methods, works well on non-linear problem and complicated calculation.This thesis proposed an excitation controller based on the PSO arithmetic. The on-line system parameters in a single machine infinite-bus (SMIB) can be properly identified through the PSO method. With the same method, the optimal excitation control parameters can be calculated in real-time from the identification results and the simulation test. Finally, simulation results show that it is feasible to provide good control performances over a wide range of operating condition and improve the stability of the power system effectively by using the proposed controller.