DocumentCode :
138919
Title :
Economic load dispatch via an improved Bacterial Foraging Optimization
Author :
Zakaria, Z. ; Rahman, Titik Khawa Abdul ; Hassan, E.E.
Author_Institution :
Univ. Teknol. Mara, Shah Alam, Malaysia
fYear :
2014
fDate :
24-25 March 2014
Firstpage :
380
Lastpage :
385
Abstract :
An economic dispatch is one of the most important research areas in power system. This is because an optimal power dispatch will contribute to a sound power system load management. As a result, the solution can ease the cost of fuel without ignoring the power operation constraints and system losses. Adaptive Tumble Bacterial Foraging Optimization (ATBFO) and Adaptive Mutation Bacterial Foraging Optimization (AMBFO), which are originally from basic Bacterial Foraging Optimization (BFO), are considered as alternative algorithms to minimize fuel cost. Thus, the two techniques are compared under the same parameters to determine the best optimal result. After several analyses on the results obtained, it was found that ATBFO outperformed AMBFO. Both of these adaptive bacterial foraging optimization techniques are tested on 26 bus Reliability test system using MATLAB R2009b on MS Window 7.
Keywords :
load dispatching; load management; optimisation; power system economics; ATBFO; adaptive bacterial foraging optimization; adaptive mutation bacterial foraging optimization AMBFO; adaptive tumble bacterial foraging optimization; economic load dispatch; optimal power dispatch; power system load management; Cost function; Economics; Fuels; Linear programming; Microorganisms; Power systems; Adaptive Mutation Bacterial Foraging Optimization; Adaptive Tumble Bacterial Foraging Optimization; Bacterial Foraging Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-2421-9
Type :
conf
DOI :
10.1109/PEOCO.2014.6814458
Filename :
6814458
Link To Document :
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