GA based SVS control strategy for mitigation of SSR in series compensated power system

Abstract

This paper presents a Genetic Algorithm (GA) based control strategy to design more effective and robust auxiliary control of Static VAR System (SVS) for Sub Synchronous Resonance (SSR) damping improvement. The problem of tuning all the control parameters for effective stabilization of multiple torsional modes over various system conditions is formulated into a standardized optimization problem and optimized using GA for improving SSR damping. The studies have been carried out on First IEEE bench mark model. With the proposed GA, the problem is efficiently solved and the auxiliary controller of SVS is optimized over a wide operating range. Eigenvalue analysis using a linearized system model has been conducted on the test system to validate the approach and the designed SVS based auxiliary controller. A simulation study, using a nonlinear system model, has been carried out to illustrate the performance of the proposed SVS control strategy under large disturbance conditions. This corroborates the outcome of the eigenvalue analysis.