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Damping Controller Based Quantum Particle Swarm Optimization for VSC HVDC to Improve Power System Stability

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The use of the supplementary controllers of a High Voltage Direct Current (HVDC) based on Voltage Source Converter (VSC) to damp low Frequency oscillations in a weakly connected system is surveyed. Also, singular value decomposition (SVD)-based approach is used to analyze and assess the controllability of the poorly damped electromechanical modes by VSC-HVDC different control channels. The problem of supplementary damping controller based VSC-HVDC system is formulated as an optimization problem according to the time domain-based objective function which is solved using quantum-behaved particle swarm optimization (QPSO). Individual designs of the HVDC controllers using QPSO method are evaluated. The effectiveness of the proposed controllers on damping low frequency oscillations is checked through eigenvalue analysis and non-linear time simulation under various disturbance conditions over a wide range of loading.
Cite this paper
Taheri, N. , Hashemi, A. and Kiani, K. (2014) Damping Controller Based Quantum Particle Swarm Optimization for VSC HVDC to Improve Power System Stability. Energy and Power Engineering, 6, 419-436. doi: 10.4236/epe.2014.612035. 
 

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