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Economic load dispatch (ELD) is an important optimization task in power system. It is the process of allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. There are three criteria in solving the economic load dispatch problem. They are minimizing the total generator operating cost, total emission cost and scheduling...
The major concern of the power system utilities is to not only deliver high quality power supply to the end users but to do it with minimum possible fuel cost and emission levels. Combined Economic Emission Dispatch (CEED) is a way to compute the optimal generation of the power system by minimizing the fuel cost and emission levels simultaneously. The CEED is a multi objective problem and in general...
This paper presents a multiobjective particle swarm optimization based on differential evolution (IMOPSO-DE) algorithm for environmental/economic dispatch (EED) problem. The algorithm adopted differential evolution to increase the diversity of the Pareto set. Circular crowded sorting approach helped to generate a set of well-distributed Pareto-optimal solutions in one run. The global best individuals...
This paper proposed multi-objective fuzzy particle swarm optimization (MOFPSO) for the Proton Exchange Membrane Fuel Cells (PEMFC) generation system. The PEM fuel cell generation system efficiency decreases as its output power increases. Thus, an optimum efficiency should exist and should result in a cost-effective PEM fuel cell generation system. In the optimization approach, the efficient and economic...
This paper presents a modified particle swarm optimization (MPSO) algorithm for solving the optimal power flow (OPF) problems. The main distinction of this approach is in using particlepsilas worth experience in stead of the best previous experience. The proposed approach is evaluated on the IEEE 30-bus test system which minimizes the total fuel cost considering operational constraints such as power...
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