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As a results of technological progresses, wind power has appered as one of the most encouraging renewable energy sources. Due to severe Grid Code requirements, wind power plants (WPPs) should provide ancillaryservices such as fault ride-through and damping of power system oscillations to resembleconventional generation. Through an adequate selection of input–output signal pairs, WPPs can be effectivelyused to provide electromechanical oscillations damping. In this paper, implementation of the damping supplementary controllers of Wind Turbine (WT) based on Quantum Particle Swarm Optimization(QPSO) to damp low frequency oscillations in a weakly connected system is consideredd. Also, singular value decomposition (SVD)-based method is used to analysis and assess the controllability of the poorly damped electromechanical modes by WT different control channels. The problem of damping supplementary controller based WT system is formulated as an optimization problem according to the time domainbased objective function which is solved QPSO. The effectiveness of the proposed controllers on damping low frequency oscillations is checked through eigenvalue analysis.

Damping controller design for wind farms based on quantum particle swarm to improve power system stability