FUZZY PID CONTROLLER BASE ON LFC IN THE DEREGULATED POWER SYSTEM INCLUDING SMES

This paper presents a fuzzy PID control including SMES for the solution Load Frequency Control (LFC) problem in a deregulated power system that operate under deregulation based on the bilateral policy scheme. The SMES units and fuzzy PID controller are expected to compensate for the sudden load change, as the most effective contermeasure. In order to overcome difficulty of accuracy constructing the rule base in the fuzzy controller, the parameters of the proposed controller is tuned by Genetic Algorithm (GA). The aim is to reduce fuzzy system effort, find a better fuzzy system control and take large parametric uncertainties into account. This newly developed control strategy combines the advantage of SMES and fuzzy system control techniques and leads to a flexible controller with simple structure that is easy to implement. The proposed GA based FPID controller is tested on a three-area deregulated power system in the presence of an SMES unit in one area of the power system. Analysis reveals that the proposed control strategy with considering SMES unit improves significantly the dynamical performances of system such as settling time and overshoot against parametric uncertainties for a wide range of area load demands and disturbances in either of the areas even in the presence of system nonlinearities.