DocumentCode :
2535811
Title :
Biogeography-Based Optimization Combined with Predator-Prey Approach Applied to Economic Load Dispatch
Author :
de Athayde Costa e Silva, Marsil ; Coelho, Leandro Dos Santos
Author_Institution :
Undergraduate Course in Mechatron. Eng., Pontifical Catholic Univ. of Parana (PUCPR), Curitiba, Brazil
fYear :
2010
fDate :
23-28 Oct. 2010
Firstpage :
164
Lastpage :
169
Abstract :
Economic Load Dispatch (ELD) problems are nonlinear constrained problems which occupy an important role in the economic operation of power system. Recently, as an alternative to the conventional mathematical approaches, evolutionary algorithms have been given much attention by researchers due to their ability to find good solutions in ELD problems. In this paper, a biogeography based-optimization approach is validated. Biogeography is the study of the geographical distribution of biological organisms. Furthermore, a new approach of the biogeography based-optimization methodology combined with predator-prey approach were proposed and validated for two test systems consisting of 15 and 20 generation units (thermal generators), respectively. Simulation results are compared with those of other studies reported in the literature.
Keywords :
evolutionary computation; load dispatching; power system economics; predator-prey systems; biogeography-based optimization; biological organisms; conventional mathematical approaches; economic load dispatch problems; evolutionary algorithms; geographical distribution; nonlinear constrained problems; power system; predator-prey approach; thermal generators; Biogeography; Convergence; Economics; Equations; Generators; Mathematical model; Optimization; biogeography based-optimization; economic load dispatch; metaheuristics; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (SBRN), 2010 Eleventh Brazilian Symposium on
Conference_Location :
Sao Paulo
ISSN :
1522-4899
Print_ISBN :
978-1-4244-8391-4
Electronic_ISBN :
1522-4899
Type :
conf
DOI :
10.1109/SBRN.2010.36
Filename :
5715231
Link To Document :
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