Output feedback organically-structured control of expanded power system based on parameter optimization

A new optimized organically-structured control method combined with the dynamic output feedback and genetic algorithm is proposed for automatic generation control (AGC) design of interconnected power system with the extension structure. Genetic algorithm is used to optimize the related parameters emerged in the process to solve the controller based on the dynamic output feedback control of the system with the extension structure. The blindness to choose the parameters is avoided. The fitness function evaluating synthetically the time domain response performance is chosen, and the constraint matrix is optimized in the design. The simulation research is done against a kind of interconnected power system model. Consider a new area subsystem is add to original system on line, the automatic generation control law of the new area is designed by using the proposed method. The simulation results show that the control performances optimized by genetic algorithm are better than the before, and the effectiveness of this method is proved.