Supplementary Frequency Control for Multi-machine Power System Based on Adaptive Dynamic Programming

Power system is a nonlinear high-dimension complex system with dynamic uncertainties, how to carry out frequency regulation effectively in the event of disturbance is a difficult problem to be solved urgently. In this paper, a robust adaptive dynamic programming (robust ADP) based supplementary frequency controller for each generator is designed to solve multi-machine power system frequency regulation problem. The control policy iteration of each subsystem controller only uses their own state and input information for learning, without knowing the whole system dynamics. MATLAB and PSAT are used to establish the New England 10-machine 39-bus test system to verify the effective of the proposed control scheme. The simulation results show that the designed controller can effectively adapt to changes in the power system and make the system frequency recover to the reference value quickly.