Title :
The research of practical method used for dynamic reactive power optimization
Author :
Xiaoqun, Ding ; Caihong, Zhao
Author_Institution :
Dept. of Electr. Eng., Hohai Univ., Nanjing
Abstract :
Reactive power optimization considering the load changing of the node in the system is also called as dynamic reactive power optimization. The paper presents a practical algorithm to solve the dynamic reactive power optimization based on the time-interval control, using the improved GA to optimize the discrete control variable and the predictor-corrector interior point method to the smooth control variable on the basis of traditional genetic algorithm. The IEEE-30 node system based on the forecasted load curve of some place is built to simulate the dynamic reactive power optimization. It is concluded that a greater loss reduction can be achieved by the proposed method and the optimal schedule is simple.
Keywords :
genetic algorithms; predictor-corrector methods; reactive power; IEEE-30 node system; discrete control variable; dynamic reactive power optimization; genetic algorithms; load curve forecasting; loss reduction; optimal schedule; predictor-corrector interior point method; smooth control variable; time-interval control; Constraint optimization; Control equipment; Dynamic programming; Equations; Genetic algorithms; Optimization methods; Power system dynamics; Reactive power; Reactive power control; Time factors; Dynamic reactive power optimization; Improved genetic algorithm; Predictor-corrector interior point method; Time-interval control;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523490
