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Fuzzy bang-bang control of static VAR compensators for damping system-wide low-frequency oscillations
Affiliation:1. Department of Neurosurgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China;2. Department of Neurosurgery, Li Hui Li Hospital of Medical Center of Ningbo, Ningbo, China;1. Argonne National Laboratory, Argonne, IL, 60439, United States;2. Idaho National Laboratory, Idaho Falls, ID, 83415, United States;1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada;2. Solantro Semiconductor Inc., Nepean, Ontario K2E 7Y1, Canada
Abstract:Static VAR compensators (SVCs) have been widely used in power systems to keep terminal voltages within bounds. The other application is to improve power systems damping, especially for loosely connected power systems. In this paper, a scheme using fuzzy logic control (FLC) is connected in parallel with a conventional voltage regulation loop to form a supplementary damping loop for the SVC to increase the system's transmission capacity. The FLC is based on bang-bang control, and provides damping across each connected line to the SVC. Damping is of particular importance especially for weakly coupled power systems. Using rotor-angle signals that are estimated from voltage and power measurements at each connected line to the SVC, a fictitious generator at the remote end of each connected line is identified. The SVC receives control signals from all fictitious generators, which are competing and reacting differently at different phases of system oscillations. The final control for the SVC combines the control signals from all fictitious generators, which are scaled according to their individual contributions to damping. The proposed signal structure guarantees robustness and effectiveness of the final control with respect to different loading and fault conditions. The FLC design is based on Lyapunov function analysis, and is simulated on a three-generator power system for performance evaluation.
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