Optimal design of SVC-based subsynchronous damping control using genetic and simulated annealing algorithm

In this paper, an optimal approach based on genetic and simulated annealing algorithm (GASA) is prosposed to design more effective and robust subsynchronous damping control (SSDC) of Static Var Compensator (SVC) for multimodal SSR damping improvement. A practical multi-machine series compensated power system suffering multimodal SSR has been studied to demonstrate the effectiveness of the approach. The developed SSDC comprises independent modal control path, each with separate feedback gains and phase-shifts, to damp different torsional mode. The problem of simultaneously tuning all the control parameters for robust stabilization of multiple torsional modes over various system conditions is formulated into a standardized constrained optimization problem. With the proposed GASA, the problem is efficiently solved and the SVC SSDC is optimized. Both eigenvalue analyses and electromagnetic simulations have been conducted on the test system to validate the approach and the designed SVC-based SSDC.