Random adaptive optimizer restores distribution service

Author

Sheng, Siqing ; Sun, Youjiang ; Liu, Yan ; Zhang, Wenqin ; Yang, Yihan

Author_Institution

North China Electr. Power Univ., China

Volume

13

Issue

2

fYear

2000

fDate

4/1/2000 12:00:00 AM

Firstpage

48

Lastpage

51

Abstract

Power network faults may lead to blackouts in some areas. Dispatchers should accurately diagnose faulted elements as soon as possible and restore those areas to their normal state. The restoration of the blackout area in a distribution network is a complex nonlinear combinatorial optimization problem, which is to restore as much of the blacked out area as possible and not to lead to overload in the normal area. In view of the limitation of the conventional expert system (ES) based on rules for restoring a blacked out area, a new random adaptive optimizing method based on a genetic algorithm (GA) is applied to the restoration system of the distribution network

Keywords

combinatorial mathematics; expert system shells; genetic algorithms; optimal control; power distribution control; power distribution faults; power system restoration; blackouts; complex nonlinear combinatorial optimization problem; conventional expert system; distribution service restoration; genetic algorithm; power network faults; random adaptive optimizer; Artificial intelligence; Biological cells; Genetic algorithms; Optimization methods; Power generation economics; Power system analysis computing; Power system restoration; Stochastic processes; Sun; Testing;

fLanguage

English

Journal_Title

Computer Applications in Power, IEEE

Publisher

ieee

ISSN

0895-0156

Type

jour

DOI

10.1109/67.831429

Filename

831429