ARTIFICIAL INTELLIGENCE AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMIZATION PROBLEM IN MICROGRIDS
Abstract
The modern heuristic techniques mainly include the application of the artificial intelligence approaches such as genetic algorithm, particle swarm
optimization algorithm, ant colony optimization, stochastic diffusion search, differential evolution, etc. The main aspect of these techniques is their
flexibility for solving the optimization problems that have different mathematical constraints. In a power system area, the competition between the
electric utilities is gradually increased due to the deregulation of the electrical markets. For this reason, the generation expansion problem presents
itself as an important issue that needs to be considered in order to achieve reasonable economic decisions.
Keywords: Genetic algorithm, Particle swarm optimization, Artificial intelligence.
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