Design of Variable Structure Stabilizer for a Nonlinear Model of SMIB System: Particle Swarm Approach

摘要

There are various approaches used in tackling engineering optimization problems and the adoption of each depends on the type of problem being handled. A new and promising method widely studied by researchers is that of heuristics algorithms. The recognition of this approach 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 a variable structure stabilizer for a nonlinear single machine infinite bus system (SMIB) with an AC/DC converter added to the model. Two versions of PSO, namely the inertia weight method of updating the velocities (PSO-iw) and constriction factor method (PSO-cf) are adopted for 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.