Title :
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
fDate :
4/1/2000 12:00:00 AM
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;
Journal_Title :
Computer Applications in Power, IEEE
