Particle Swarm Optimization and Its Applications in Power Systems

Optimization problems are widely encountered in various fields in science and technology. The fact that most optimization problems, when modeled accurately, are of non-convex and sometimes discrete nature has encouraged many researchers to develop new optimization techniques to overcome such difficulties. Particle Swarm Optimization (PSO) is one of the newly developed optimization techniques with many attractive features. Early experimentations of employing PSO in many applications in science and technology have indicated its promising potential. Thus, the basics of PSO theory, development, main features, and its applications in power systems are presented in the following sections.

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