Optimal fuzzy logic controller design using particle swarm optimization for wind-natural gas power system

This paper proposes an application of the particle swarm optimization (PSO) to design the optimal fuzzy logic (FL) controller for load frequency control of isolated wind-natural gas hybrid power system. Traditionally, scale factors, membership functions and control rules of FL controller are obtained by trial and error method or experiences of designers. Moreover, the isolated wind-natural gas hybrid power system is a multi-input multi-output (MIMO) system. For that reason, it is not straightforward to design both load frequency controllers simultaneously. To overcome this problem, PSO is applied to concurrently tune scale factors, membership functions and control rules of FL controller to minimize frequency deviations of the system against load disturbances. Simulation results explicitly show that the performance of the optimum FL controller is superior to the conventional PID controller and the non-optimum FL controller in terms of the overshoot, settling time and robustness against various load changes and variations of wind inputs.