Abstract
The aim of this study is to design nonlinear robust controllers for multimachine power systems. A technique for the optimal tuning of Power System Stabilizer (PSS) by integrating the Particle Swarm Optimization (PSO) combined with the Fuzzy Sliding Mode Control (FSMC) is proposed in this study. The fuzzy tuning schemes are employed to improve control performance and to reduce chattering in the sliding mode. The objective of this method is to enhance the stability and the dynamic response of the multimachine power system operating in different operating conditions. In order to test the effectiveness of the proposed method, the simulation results show the damping of the oscillations of the angle and angular speed with reduced overshoots and quick settling time.
Highlights
Stability of power systems is one of the most important aspects in electric system operation
A Power System Stabilizer based on Particle Swarm Optimization (PSO) is proposed in this study
Based on PSO: The control law used in this study is composed of three terms, the nominal control ueq, the robust term represented by the fuzzy sliding mode controller ufsmc and the regulator Power System Stabilizer (PSS) optimized by the PSO algorithm u*pss: u
Summary
Stability of power systems is one of the most important aspects in electric system operation. Where, Pmi is the mechanical input power assumed to be constant, Di is the damping factor; all parameters are in p.u., Hi is the inertia constant, in seconds, T'di is the direct axis transient short circuit time constant, in seconds, δi is the rotor angle, in radians, ωi is the relative speed, ωs = 2πf is the synchronous machine speed, in rad/sec and Gij, Bij is the ith row and jth column element of the nodal conductance matrix and nodal susceptance matrix respectively, which are symmetric, at the internal nodes after eliminating all physical buses in p.u. We consider Efi (t) as the input of the system (Colbia-Vegaa et al, 2008).
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