Dealing with Disturbances of Islanding in a Gas Power Plant Using Fuzzy System and Load Shedding Based on Neural Network

In structures such as South Pars Power Plant, which is there are exclusive consumers for power station,good control of turbine in the moment of islanding to avoid disruption in the supply of power to exclusive consumers, is particularly important, because the separation of the electrical grid increases or reduces too quickly Turbine Generator speed and exit the frequency of permitted range, due to it, power generation would be stopped. Rowen model was used in this paper for gas turbine. After applying torque generator relation to the model, three control systems designed to deal with the disturbance of the islanding including Ziegler-Nichols tuned PID,fuzzy PID controller and fuzzy PID controller with load shedding system based on neural network. So in this article, the combination of fuzzy PID controller and load shedding system used to cope with turbulence of separation on the frequency.Finally, the performance of the controllers compared against disturbances of the islanding for different situations with each other as well as Simulated annealing(SA) tuned PID and Ziegler-nichols tuned PID controller indicates optimal performance of fuzzy PID with load shedding systems based on neural network.