Differential Evolution based Optimal Reactive Power Flow with Simulated Annealing Updating Method

Author

Chen, Gonggui

Author_Institution

I Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan

Volume

2

fYear

2008

fDate

17-18 Oct. 2008

Firstpage

185

Lastpage

189

Abstract

Conventional differential evolution (CDE) algorithm runs the risk of being trapped by local optima because of its greedy updating strategy and intrinsic differential property. A novel simulated annealing differential evolution (SADE) algorithm is proposed to compute optimal reactive power flow (ORPF). With the aid of simulated annealing updating strategy, SADE is able to escape from the local optima, and achieve the balance between exploration and exploitation. Optimization results on ORPF of IEEE standard 118 nodes system indicate that SADE outperforms CDE in the global search ability.

Keywords

IEEE standards; load flow; reactive power; simulated annealing; IEEE standard; conventional differential evolution algorithm; greedy updating strategy; intrinsic differential property; optimal reactive power flow; simulated annealing differential evolution algorithm; simulated annealing updating method; Computational modeling; Convergence; Design engineering; Evolution (biology); Evolutionary computation; Load flow; Power engineering and energy; Reactive power; Simulated annealing; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design, 2008. ISCID '08. International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3311-7

Type

conf

DOI

10.1109/ISCID.2008.40

Filename

4725486