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The paper presents an Ant Colony Search Algorithm (ACSA) for optimal reactive power optimization and voltage control of power systems. ACSA is a new co-operative agents' approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods. Hence, in the ACSA a set of co-operative agents called ??Ants?? co-operates to find better...
This paper presents solution of optimal power flow (OPF) problem of a power system via a simple particle swarm optimization (PSO) algorithm. This method is dynamic in nature and it overcomes the shortcomings of other evolutionary computation techniques such as premature convergence and provides high quality solutions. The objective is to minimize the fuel cost and keep the power outputs of generators,...
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