Abstract: Optimization of active power loss in Electrical Power systems is complicated because of large, complex, and geographically widely distributed power systems. It is advisable to use the most efficient optimization technique based on its suitability to find an optimized solution of the problem. Active power loss minimization in a system is obtained by controlling the flow of reactive power. The reactive power flow control can be achieved through generator bus voltage, transformer tappings and shunt capacitor banks. An overview of different artificial intelligence (AI) optimization techniques used in power optimization problems are discussed in this paper. Hybrid or improved AI techniques having peculiar characteristics are also presented. This paper studies different techniques implemented for active power loss minimization.
Keywords: Artificial intelligence, genetic algorithm, particle swarm optimization, active power loss minimization, reactive power optimization.
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