Title :
IPSO based SMES controller design for a PMSG wind system
Author :
Khan, Muhammad Haris ; Rahim, A.H.M.A.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
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.
Keywords :
control system synthesis; machine control; nonlinear control systems; particle swarm optimisation; permanent magnet generators; power generation control; reactive power; superconducting magnet energy storage; synchronous generators; wind power plants; IPSO based SMES controller design; improved particle swarm optimization procedure; nonlinear system model; optimal tuned SMES parameters; permanent magnet synchronous generator wind system; quasilinear PMSG system dynamics; reactive power; real power; superconducting magnetic energy storage system system; torque pulse disturbances; transient profile; Generators; Indexes; Mathematical model; Power system dynamics; Power system stability; Reactive power; Voltage control; PMSG; SMES; dynamic performance; transient stability; wind farms and IPSO;
Conference_Titel :
Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
Conference_Location :
Florence
Print_ISBN :
978-1-4673-1453-4
DOI :
10.1109/EnergyCon.2012.6348223
