DocumentCode :
1305706
Title :
Multi-objective unit commitment problem with reliability function using fuzzified binary real coded artificial bee colony algorithm
Author :
Chandrasekaran, K. ; Simon, Sishaj P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Tiruchirappalli, India
Volume :
6
Issue :
10
fYear :
2012
fDate :
10/1/2012 12:00:00 AM
Firstpage :
1060
Lastpage :
1073
Abstract :
This study proposes a novel methodology that employs fuzzified binary real coded artificial bee colony (ABC) algorithm for solving multi-objective unit commitment problem. On solving unit commitment problem, the proposed binary coded ABC algorithm finds the ON/OFF status of the generating units whereas the economic dispatch is solved using the real coded ABC. Here, three conflicting functions such as fuel cost, emission and reliability level of the system are considered. These functions are formulated as a single objective optimisation problem using the fuzzy set theory. Also, the fuzzy membership design variables are tuned using real coded ABC thereby requirement of expertise for setting these variables are eliminated. The proposed method is validated on six unit system, IEEE 30 bus system, ten unit system, 40 unit system and IEEE RTS 24 bus system. The effectiveness of the proposed technique is demonstrated by comparing its performance with other methods reported in the literature.
Keywords :
IEEE standards; binary codes; fuzzy set theory; optimisation; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; 40 unit system; ABC algorithm; IEEE 30 bus system; IEEE RTS 24 bus system; economic dispatch; fuel cost; fuzzified binary real coded artificial bee colony algorithm; fuzzy membership design variable tuning; fuzzy set theory; generating unit; multiobjective unit commitment problem; reliability function; single objective optimisation problem; six unit system; ten unit system;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2012.0193
Filename :
6320875
Link To Document :
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