Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm

Multi-objective optimal electric power planning.Considered fuel cost, active power loss, gaze emission and voltage deviation.Proposed MGBICA algorithm was successfully implemented for multi-objective OPF. In this paper, a Gaussian Bare-bones multi-objective Imperialist Competitive Algorithm (GBICA) and its Modified version (MGBICA) are presented for the optimal electric power planning in the electric power system. Two sub-problems of multi-objective optimal electric power planning namely Optimal Power Flow (OPF) and Optimal Reactive Power Dispatch (ORPD) problems are considered. The OPF and ORPD problems are formulated as a nonlinear constrained multi-objective optimization problem with competing objectives. The performance of multi-objective algorithms are studied and evaluated on the standard IEEE 30-bus and IEEE 57-bus test systems. The proposed algorithm provides better results compared with the other algorithms as demonstrated by simulation results.

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