Adaptive neuro-fuzzy damping controller design for a power system installed with UPFC

The Application Research of HVDC & FACTS to Suppress the Power System Low-Frequency Oscillation

“…Owing to the control parameters and the control process of UPFC are complex, multiple running status must be adaptable at the same time, in recent years, the use of intelligent algorithm to optimize damping controller is widely used. The adaptive neural fuzzy algorithm optimization algorithm is proposed in the [5] and [6], the former takes the linear transient model of UPFC, the input is optimized using the neural fuzzy algorithm learning method, and then finds out the optimal outputs; The latter takes the conjugate gradient algorithm to obtain the UPFC control parameters, and then use the IF-THEN rule to get the control outputs. In addition, the particle swarm intelligence algorithm, genetic algorithm (GA) to optimize the UPFC damping controller design also has a lot of research and application, limited to space, no longer here.…”