Evolutionary computation based unit commitment using Hybrid Priority List approach

Author

Govardhan, Manisha ; Roy, Ranjit

Author_Institution

Dept. of Electr. Eng., S.V. Nat. Inst. of Technol., Surat, India

fYear

2012

fDate

2-5 Dec. 2012

Firstpage

245

Lastpage

250

Abstract

Unit commitment (UC) plays a key role in power system operation and control. This paper deals with UC problem using hybrid Priority List (PL) method. Evolution Programming (EP), Hybrid Evolution Programming (HEP) and Gbest based Artificial Bee Colony (ABC) optimization algorithms are applied to 10 thermal unit system and are executed to achieve minimum operating cost by optimal scheduling of thermal units over a scheduled period. It is found from the comparison of these three algorithms that the Gbest based Artificial Bee Colony (ABC) yields the best optimum solution.

Keywords

evolutionary computation; power generation dispatch; power generation scheduling; thermal power stations; ABC optimization algorithm; Gbest-based artificial bee colony optimization algorithm; HEP algorithm; UC problem; evolutionary computation-based unit commitment; hybrid PL method; hybrid evolution programming algorithm; hybrid priority list approach; minimum operating cost; power system control; power system operation; thermal unit optimal scheduling; thermal unit system; Sociology; Statistics; Evolution Programming (EP); Gbest based Artificial Bee Colony (ABC); Hybrid Evolution Programming (HEP); Priority List (PL); Unit commitment (UC);

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy (PECon), 2012 IEEE International Conference on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4673-5017-4

Type

conf

DOI

10.1109/PECon.2012.6450216

Filename

6450216