Title :
Optimal control of grid connected variable speed wind energy conversion system
Author :
Jeba, V. Evangelin ; Ravichandran, S. ; Devi, R. P. Kumudini
Author_Institution :
Dept. of Power Syst. Eng., Anna Univ., Chennai, India
Abstract :
This paper presents an optimum design procedure for the coordinated tuning of rotor side converter (RSC) and grid side converter (GSC) controllers of grid connected doubly fed induction generator (DFIG) wind turbine system. The RSC and GSC controller parameters are determined to optimize the performance indices. The performance indices considered are maximum peak overshoot (MPOSωr), settling time (Tssωr) of the generator speed and the maximum peak overshoot (MPOSVdc), maximum peak undershoot (MPUSVdc) and settling time (TssVdc) of DC link voltage. The sum squared error deviation of the dc link voltage and the generator speed is considered as the objective function. The constrained optimization problem is solved using particle swarm optimization (PSO). Simulations are performed on a sample system with DFIG based WECS. The effectiveness of the designed parameters using PSO is then compared with that obtained using simulated annealing (SA).
Keywords :
asynchronous generators; control system synthesis; least mean squares methods; optimal control; particle swarm optimisation; power convertors; power generation control; power grids; power system interconnection; rotors; wind turbines; DC link voltage; DFIG; GSC; PSO; RSC; constrained optimization problem; coordinated tuning; grid connected doubly fed induction generator; grid side converter; maximum peak overshoot; maximum peak undershoot; optimal control; particle swarm optimization; performance indices optimization; rotor side converter; settling time; sum squared error deviation; variable speed WECS; wind energy conversion system; wind turbine system; Generators; Rotors; Simulated annealing; Tuning; Wind speed; Wind turbines; Doubly fed induction generator (DFIG); Maximum Power Point Tracking (MPPT); Simulated Annealing (SA); particle swarm optimization (PSO);
Conference_Titel :
Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on
Conference_Location :
Nagercoil
Print_ISBN :
978-1-4673-6149-1
DOI :
10.1109/ICEETS.2013.6533414