IPSO based SMES controller design for a PMSG wind system

Dynamic performance of a permanent magnet synchronous generator wind system can be improved by injecting real and reactive power from a superconducting magnetic energy storage system (SMES) system. This article presents a method of determining the optimum gains of the SMES controller through an improved particle swarm optimization (IPSO) procedure. The procedure involves finding the SMES controller gains so as to optimize the damping of the quasi-linear PMSG system dynamics. The performance of the system with optimally tuned SMES parameters have been tested with torque pulse disturbances using the nonlinear system model. The PMSG system with optimum SMES controller parameters were observed to give very good transient profile.