Title :
Bio-inspired solution to Economic Dispatch problem using distributed computing
Author :
Marzi, Arash ; Marzi, Hosein ; Marzi, Elham
Author_Institution :
Dr. John Hugh Gillis Regional High Sch., Antigonish, NS, Canada
Abstract :
The aim of this paper is to present a model for solving multi-objective optimization problems with high dimensionality using distributed computing. It demonstrates feasibility of the model by applying Bees Algorithm to solve Economic Dispatch problem using ACEnet Grid resources.
Keywords :
distributed processing; optimisation; power engineering computing; power generation dispatch; power generation economics; ACEnet Grid resources; bees algorithm; bioinspired solution; distributed computing; economic dispatch problem; multiobjective optimization problem; Biological system modeling; Distributed computing; Fuels; Generators; Optimization; Program processors; Propagation losses; Bees Algorithm; Distributed Computing; Optimization; Parallel Programming;
Conference_Titel :
Electric Power and Energy Conference (EPEC), 2010 IEEE
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4244-8186-6
DOI :
10.1109/EPEC.2010.5697235
