OPTIMAL PID TUNING FOR POWER SYSTEM STABILIZERS USING ADAPTIVE PARTICLE SWARM OPTIMIZATION TECHNIQUE

An application of the intelligent search technique to find optimal parameters of power system stabilizer (PSS) considering proportional‐integral‐derivative controller (PID) for a single‐machine infinite‐bus system is presented. Also, an efficient intelligent search technique, adaptive particle swarm optimization (APSO), is engaged to express usefulness of the intelligent search techniques in tuning of the PID—PSS parameters. Improve damping frequency of system is optimized by minimizing an objective function with adaptive particle swarm optimization. At the same operating point, the PID—PSS parameters are also tuned by the Ziegler‐Nichols method. The performance of proposed controller compared to the conventional Ziegler‐Nichols PID tuning controller. The results reveal superior effectiveness of the proposed APSO based PID controller.

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