Parameter Tuning and Optimal Design of Decentralized Structured Controllers for Power Oscillation Damping in Electrical Networks

Abstract

Power system stabilizers are controllers which damp power oscillations in electrical networks. They typically reside in the automation system of the power plant. Their design and structure are typically fixed in the design of the power plant. Optimal design and tuning of these decentralized controllers such that power oscillations are avoided is a challenging task. In the first part of the paper, we outline this problem and transform it into a so called structured controller synthesis problem where the control structure is fixed and optimal controller parameters need to be found. Based on this formulation, which preserves the real controller parameters, we propose a coordinate descent method to solve the controller design and tuning problem. To this end, we consider additional steady-state constraints in the system. We show the effectiveness of the proposed approach by detailed simulations of an established power system benchmark.