Stability analysis and controller design of a wide-area time-delay system based on the expectation model method

Abstract

Stochastic time delay is a new challenge for communication networks in wide-area damping control systems. Uncertainties introduced by stochastic time delays increase the difficulty of modeling, analyzing the stability and designing the controller. In this paper, a new approach for stability analysis and controller design through expectation modelling is proposed to solve for the uncertainty in wide-area controlled power systems introduced by the effect of a stochastic time delay. In the proposed method, the expectation model that considers the detailed stochastic time delay distribution is derived to accurately model the effect of a communication network on the wide-area control performance. Through a matrix transformation of the expectation model, the eigenvalue of the wide-area damping control system that considers time delay can then be calculated; this eigenvalue can be used for analyzing the system stability. A novel expectation model based controller design procedure is established, through which traditional methods can be applied in the controller design of a power system with a stochastic time delay. Finally, the effectiveness of the stability analysis and controller design methods are validated through simulations in a power system of 4 generators and 2 areas with an HVDC link and a power system with 8 generators and 36 buses.