Power System Stabilizer Based On Fuzzy Logic Controller

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Power System Stabilizer Based On Fuzzy Logic Controller

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Power System Stabilizers (PSS) are critical components in modern power grids, designed to mitigate low-frequency oscillations that can destabilize the system. Traditional PSS designs rely on linear control techniques, which may struggle to adapt to varying operating conditions.

A Fuzzy Logic-based PSS offers a more adaptive solution by incorporating expert knowledge and heuristic rules into the control strategy. Unlike conventional methods, fuzzy logic controllers (FLCs) handle nonlinearities and uncertainties inherent in power systems more effectively. The FLC processes input signals—like rotor speed deviations or power fluctuations—through fuzzification, rule evaluation, and defuzzification to generate stabilizing signals.

Key advantages of this approach include: Robustness – Adapts to changing system conditions without requiring precise mathematical models. Nonlinear Handling – Better suited for power systems with inherent nonlinear behavior. Tunable Rules – Operators can refine rules based on observed system dynamics.

Applications typically focus on damping inter-area oscillations or improving transient stability. The fuzzy PSS can be integrated with other advanced control techniques (e.g., adaptive or AI-based methods) for enhanced performance in smart grid environments. Future developments may explore hybrid systems combining fuzzy logic with deep learning for real-time grid resilience.