A Particle Swarm approach for the Design of Variable Structure Stabilizer for a Nonlinear Model of SMIB System
نویسنده
چکیده
There is a vivid trend in engineering optimization problems towards the adoption of heuristic optimization algorithms to arrive at optimal solutions. This is mainly due to the simplicity of these algorithms and the great cut down of complicated mathematical manipulations that are required in other optimization theory methods. This paper demonstrates the application of an iterative heuristic optimization algorithm, namely, Particle Swarm Optimization (PSO), in the design of variable structure stabilizers for a nonlinear single machine infinite bus system (SMIB). Two versions of PSO, namely the inertia weight method of updating the velocities (PSO-iw) and constriction factor method (PSO-cf) are applied in the optimal design of the stabilizer. The success of the PSO approach is supported by simulation results that confirm the attainment of the stabilizer control objectives. Key-Words: Variable Structure control, Power system stabilizer, Particle Swarm Optimization
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