Abstract
Economic environment dispatch (EED) is a significant optimization problem in conventional fossil fuel fired power system to distribute load demand reasonably and scientifically so that fuel cost and emission issues are optimized simultaneously while satisfying various constraints. In response to this constrained multi-objective optimization problem including competing objectives as well as complex constraints, an novel multi-objective algorithm (MOCA-PSO) is proposed in this paper to solve EED problem. Simulation results of test system demonstrate that the capability of the proposed algorithm to generate well-distributed Pareto optimal solutions in a single run. Compared with some current methods, MOCA-PSO has a good performance in finding a diverse set of solutions and in converging near the true Pareto optimal front with lower fuel cost and emission issues synthetically.
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