Fuzzy second correction on complementarity condition for optimal power flows

Author

Wu, Yu-Chi

Author_Institution

Nat. Lien-Ho Inst. of Technol., Miao-Li, Taiwan

Volume

16

Issue

3

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

360

Lastpage

366

Abstract

In this paper, an efficient fuzzy second correction scheme (FSCS) to improve the complementarity condition in a predictor-corrector interior point algorithm (PCIPA) for optimal power flows (OPF) is proposed. At every iteration, the proposed FSCS estimates, with the help of fuzzy logic, a better barrier parameter for each complementarity pair and effectively computes a second corrector term to improve the convergence of the PCIPA. The effectiveness of FSCS is demonstrated by several large-stale test cases. From the numerical results, it is found that the proposed FSCS improves PCIPA by 20% in terms of CPU times

Keywords

fuzzy set theory; iterative methods; load flow; predictor-corrector methods; barrier parameter; complementarity condition; complementarity pair; convergence improvement; fuzzy logic; fuzzy second correction scheme; iteration; optimal power flows; predictor-corrector interior point algorithm; second corrector term; Equations; Fuzzy logic; Large-scale systems; Load flow; Parameter estimation; Power capacitors; Power system analysis computing; Power system security; Power system stability; Quadratic programming;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.932269

Filename

932269