Optimal Design of UPFC Controller to Enhance Low Frequency Oscillation Damping By Cuckoo Algorithm

چکیده مقاله

Low frequency oscillation (LFO) is a false negative for the power system increases the risk of instability. LFO in power systems due to lack of damping torque to overcome the power system disorders, and transient stability increase. UPFC through direct control voltage and current LFO damping can be improved. In this study, a single linear model of synchronous machine connected to an infinite bus Heffron-Philips in the presence of UPFC to improve low frequency oscillation damping is used. The selection of the output feedback parameters for the UPFC controllers is converted to an optimization problem which occurring as a change in mechanical input power. Today, with FACTS devices such as integrated power flow controller (UPFC), can control power flow is solved by cuckoo optimization algorithm (COA). COA ,as a new evolutionary optimization algorithm, is used in multiple applications. This optimization algorithm has a strong ability to find the most optimistic results for dynamic stability improvement . UPFC and damping in MATLAB is designed and simulated. The simulation was performed for various loads and more effective UPFC controller electromechanical oscillation damping compared to HPSO algorithm is shown.

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