The Hybrid Differential Evolution Algorithm for Optimal Power Flow Based on Simulated Annealing and Tabu Search

Author

Li, Chunjie ; Zhao, Huiru ; Chen, Tao

Author_Institution

Inst. of Ind. Econ., North China Electr. Power Univ. (NCEPU), Beijing, China

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

1

Lastpage

7

Abstract

It is usually imperfect for the traditional algorithm of mathematical programming when it is used to analyze the optimal power flow (OPF) issues. A new optimal power flow model of differential evolutionary algorithm has been developed in this paper through combining modern intelligent optimization algorithms, such as differential evolution (DE), simulated annealing (SA) and tabu search (TS). Concerning IEEE6, IEEE30bus system in the optimal power flow, simulation case study shows that the novel hybrid optimization algorithm has a better global optimization capability.

Keywords

load flow; mathematical programming; search problems; simulated annealing; IEEE30 bus system; IEEE6 bus system; hybrid differential evolution algorithm; intelligent optimization algorithms; mathematical programming; optimal power flow; simulated annealing; tabu search; Algorithm design and analysis; Floors; Generators; Indexes; Load flow; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5325-2

Electronic_ISBN

978-1-4244-5326-9

Type

conf

DOI

10.1109/ICMSS.2010.5578512

Filename

5578512