Title :
Hybrid Bacteria Foraging-DE based algorithm for Economic Load Dispatch with non-convex loads
Author :
Sinha, Nidul ; Lai, Loi Lei ; Saikia, L.C. ; Malakar, T.
Author_Institution :
Dept. of Electr. Eng., NIT, Silchar, India
Abstract :
An algorithm based on hybridization of Bacteria Foraging (BF) and Differential Evolution (DE) was developed to solve the problem of finding the optimum load allocation amongst the committed units in a power system with non-convex loads. The performance of the proposed algorithm is evaluated on a test case of 15 units. The performance of the proposed algorithm is compared with BF method. Also, the effect of swarming in performance of the hybrid algorithm is investigated. Results demonstrate that the performance of the hybrid algorithm is much better than BF in terms of convergence rate and solution quality. The swarming effect equips the hybrid algorithm with better search capability as demonstrated on the test case.
Keywords :
evolutionary computation; load dispatching; power systems; differential evolution; economic load dispatch; hybrid bacteria foraging-de based algorithm; non-convex loads; optimum load allocation; power system; Convergence; Economics; Fuels; Loading; Microorganisms; Optimization; Valves; Bacterial Foraging; Differential Evolution; Economic Load dispatch; Floating point Genetic Algorithm;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580714