A Novel Heuristic Optimization Methodology for Solving of Economic Dispatch Problems

journal of Artificial Intelligence in Electrical Engineering

مقاله 7، دوره 1، شماره 1، شهریور 2012، صفحه 55-65   

نویسندگان

Ali Nazari؛ Amin Safari؛ Hossein Shayeghi

چکیده

This paper presents a biogeography-based optimization (BBO) algorithm to solve the economic load
Dispatch (ELD) problem with generator constraints in thermal plants. The applied method can solve
the ELD problem with constraints like transmission losses, ramp rate limits, and prohibited operating
zones. Biogeography is the science of the geographical distribution of biological species. The models
of biogeography explain how a organisms arises, immigrate from an environment to another and gets
eliminated. The BBO has some characteristics that are shared with other population based
optimization procedures, similar to genetic algorithms (GAs) and particle swarm optimization (PSO).
The BBO algorithm mainly based on two steps: migration and mutation. The BBO has some good
features in reaching to the global minimum in comparison to other evolutionary algorithms. This
algorithm applied on two practical test systems that have six and fifteen thermal units, results of this
paper are used to see the comparison between performances of the BBO algorithm with other existing
algorithms. The result of this investigation proves the efficiency and good performance of applying
BBO algorithm on ELD problem and show that this method can be a good substitute for other
algorithms.

کلیدواژه‌ها

biogeography-based optimization؛ economic load dispatch؛ prohibited operating zone؛ ramp rate limits

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