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
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