DocumentCode
2248682
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
Volume
6
fYear
2010
fDate
11-14 July 2010
Firstpage
3206
Lastpage
3212
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580714
Filename
5580714
Link To Document