Abstract
The Economic Load Dispatch (ELD) is described as the process of allocating generation level to the generating units, so that the system load is supplied entirely and most economically. In this paper we have implemented an efficient constriction factor-based Particle swarm optimization (CFBPSO) method to minimize the total fuel cost of the power generating units while satisfying the load demand & several operational constraints. The proposed method is applied to 3-unit and 6-unit power generating systems to find the best reduced fuel cost required for generation and to minimize the losses. It is a metaheuristic algorithm based on the concept of swarm intelligence and with the use of constriction factors. The results obtained through CFBPSO are then compared with Cuckoo Search Algorithm (CSA) method to prove its effectiveness over CSA method.
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