Parallel Interior-Point Algorithm Based on MCWC for ESC-OPF

Author

Yang, Linfeng ; Jian, Jinbao ; Li, Taoshen

Author_Institution

Sch. of Electr. Eng., Guangxi Univ., Nanning, China

Volume

2

fYear

2009

fDate

25-26 July 2009

Firstpage

267

Lastpage

270

Abstract

This paper presents the huge but useful formulation of expected security cost optimal power flow (ESC-OPF). Corrector equation, which has special structure, of interior-point method (IPM) for ESC-OPF has been given. A novel parallel IPM based on multiple centrality weighted correctors (MCWC) has been proposed to solve the formulation of this ESC-OPF model. In our novel algorithm, with the cooperation of MCWC and parallel solver for corrector equation, iterative times can be reduced and CPU time can be shut down because of the good speedup.

Keywords

iterative methods; load flow; parallel algorithms; power engineering computing; power system security; corrector equation; expected security cost optimal power flow; iterative equation; multiple centrality weighted correctors; parallel interior-point algorithm; parallel solver; Concurrent computing; Control systems; Cost function; Distributed computing; Equations; Information security; Load flow; Power generation economics; Power system security; Propagation losses; Interior-point method; expected security cost-OPF; parallel algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Computer Science, 2009. ITCS 2009. International Conference on

Conference_Location

Kiev

Print_ISBN

978-0-7695-3688-0

Type

conf

DOI

10.1109/ITCS.2009.190

Filename

5190231