TAKAGI-SUGENO FUZZY PARALLEL DISTRIBUTION COMPENSATION BASED THREE-AREA LFC DESIGN

In this paper, a robust Takagi-Sugeno Fuzzy Parallel Distribution Compensation (TSFPDC) technique is proposed for the solution of Load Frequency Control (LFC) problem in the interconnected power system. In this strategy, control signal is tuned online from the knowledge base and the fuzzy inference which request fewer sources. In order to minimize the efforts of load disturbances and achieve the desired level of robust performance in the presence of modeling uncertainties and load changes, the idea of TSFPDC technique is being used for the solution of LFC problem. With the newly proposed method a simple and natural procedure is developed to handle the nonlinear control system. Only local variables are adopted as the input signals of each controller for the control design. Thus, the structure of the designed TSFPDC based LFC is simple and easy to implement. The effectiveness of the proposed method is demonstrated on a three-area interconnected power system with different condition under wide range of parametric uncertainties in comparison with the modified chaotic ant swarm optimization and bacterial foraging optimization based fuzzy type PID controllers through simulation results and some system performance indices. Results evaluation show that the proposed control strategy achieves good robust performance for wide range of system parameters and load changes in the presence of system nonlinearities and is superior to the other controllers. Moreover, this newly developed control strategy has simple structure and does not require an accurate model of the plant and fairly easy to implement which can be useful for the real world complex power system.