D-STATCOM control based on self-tuning PI with neural networks

Power distribution system installed with D-STATCOM (Distribution Static Synchronous Compensator) is a large-scale nonlinear, multivariable system. The traditional PI controller is not content to modern control requirement because of its fixation parameters. In this paper, node voltage control strategy of D-STATCOM based on self-adaptive PI controller with neural network is proposed, and the controller structure is designed. In dynamic process, PI parameters of the node voltage controller are on-line adjusted with neural networks. Thus, this controller is good at robustness and adaptability. The simulation model of the control system is built in the MATLAB dynamic simulation platform, based on which the regulating process of note voltage is simulated. The result verified the adaptability and feasibility of the proposed control strategy.