Optimal Deviation Based Firefly Algorithm Tuned Fuzzy Design for Multi-Objective UCP

Restructuring of power system stresses the need for economic and reliable generation of power. Therefore generating units should be committed considering fuel cost and reliability level of the system. This necessitates the need for multi-objectives to be met in a unit commitment problem (UCP). Since...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on power systems Vol. 28; no. 1; pp. 460 - 471
Main Authors Chandrasekaran, K., Simon, S. P.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithm design and analysis
Algorithms
Binary real coded firefly algorithm (BRCFF)
Brightness
Deviation
Economics
Fireflies
Fires
Fuels
Fuzzy
Fuzzy logic
Fuzzy set theory
multi-objective unit commitment problem
optimal deviation
Optimization
Power plants
Power system reliability
Reliability
reliability function
Spinning
Studies
Online AccessGet full text

Cover

More Information
Summary:Restructuring of power system stresses the need for economic and reliable generation of power. Therefore generating units should be committed considering fuel cost and reliability level of the system. This necessitates the need for multi-objectives to be met in a unit commitment problem (UCP). Since the above objectives are conflicting in nature, a novel methodology employing optimal deviation based firefly algorithm tuned fuzzy membership function is applied to multi-objective unit commitment problem (MOUCP). The ON/OFF status of the generating units is obtained by binary coded FF whereas the sub-problem economic dispatch (ED) is obtained by real coded FF. Here the conflicting functions are formulated as a single objective function using fuzzy weighted optimal deviation. The fuzzy membership design variables are tuned using real coded FF; thereby the requirement of expertise for setting these variables are eliminated. The proposed methodology is validated on 100-unit system, IEEE RTS 24-bus system, IEEE 118-bus system and a practical Taiwan Power (Taipower) 38-unit system over a 24-h period. Effective strategy on scheduling spinning reserve is demonstrated by comparing its performance with other methods reported in the literature.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2012.2201963