Abstract
This paper proposes a solution to the multi-objective problem of optimal power load allocation based on enhancing particle swarm optimization (EPSO) with Pareto. We consider applying to the conventional mathematical model of objective functions to minimize the active power loss of the network, and the power grid operating limitations to the functional importance of the entire model. We implement hybrid chaos optimization with a hierarchical clustering to address the premature convergence of the PSO. The Pareto solution distribution is introduced to achieve the optimum global solution. In the section on simulation, the IEEE 57-bus benchmark is used to test the performance of the proposed scheme. Compared with the other test power system approaches, the results show that the proposed method reduced the net loss of the power system and the consumption of coal from generation sets and conserved energy sources under meeting the power system protection constraints.
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