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Investigation of UPFC Based Damping Controller Parameter for Power Oscillation Damping by Grey-Wolf Optimizer with Time Delay for Multi Machine System

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Selection of a proper control action for UPFC based damping controller so as to deem fit to a specific operating condition is a challenging task to design the controller. In this work Grey Wolf Optimization technique is proposed for investigation of proper control action and optimizing the parameters of UPFC based lead-lag controller to enhance dynamic stability pertaining to damping of electromechanical oscillations in power system. There are two main contributions of this work. The first one is an elaborate investigation of proper damping controller to meet a specific operating condition and it has been considered by a recent algorithm known as GWO algorithm in contrast to PSO and DE algorithm by applying all controllers to the single machine system. Also the versatility of this optimized controller is judged by considering different disturbances like change in input prime mover power, wide range of loading conditions, and change in line reactance. To provide a real time approach for multi machine system, additional time delay is considered, to meet the requirement of a wide area network. The efficacy of GWO optimized controller is also compared with PSO and DE optimized controllers for same disturbances. Eigen value analysis is performed for each case and it has been found that the performance of proposed controller is much better as compared to others.
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FACTS; UPFC; GWO; Damping Controller; Multi Machine Stability

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