Abstract
Power system frequency regulation entitled load frequency control (LFC), as a major function of automatic generation control (AGC), has been one of the important control problems in electric power system design and operation. Normally, for the control of frequency conventional control methodology is used. In the recent years, the soft computing techniques such as artificial neural network (ANN), Fuzzy systems and evolutionary algorithms are used to develop an intelligent load frequency controller. The Performance of a Fuzzy logic controller is limited by its large number of rules and if the rules are large then computation time and requirement of memory is large. This problem is compensated by using Polar Fuzzy logic controller. So a Polar Fuzzy logic controller is proposed for the load frequency control problem. The aim of the Polar Fuzzy Controller is to restore the frequency and tie-line power in a smooth way to its nominal value in the shortest possible time if any load disturbance is applied. System performance is examined and compared with a standard Fuzzy logic controller, and conventional PI controller.
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