Title :
Research and application of maintenance schedule optimization based on intelligent algorithm
Author :
Liu Yongmei ; Meng Xiaoli ; Sheng Wanxing
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
Abstract :
According to the features of power system, a new mathematical model for distribution maintenance scheduling is proposed, which combines load path transfer and maintenance schedule time optimization problem. Network reconfiguration algorithm and genetic algorithm are used to solve load path transfer problem and maintenance schedule time optimization problem respectively. Due to the large number variables of the network reconfiguration, encoding with round line and feasible solution operator are adopted to decrease the searching space in the paper. The searching space is significantly reduced and the solution speed is raised. The proposed model and method are applied to IEEE33 test system, the result show that proposed method can obtain the most optimal maintenance schedule and the load transfer line with minimal network loss. The method observably reduces the power off lose which maintenance brings.
Keywords :
distribution networks; genetic algorithms; maintenance engineering; scheduling; IEEE33 test system; distribution maintenance scheduling; genetic algorithm; intelligent algorithm; load path transfer; load transfer line; maintenance schedule time optimization problem; network loss; network reconfiguration algorithm; searching space; Genetic algorithms; Load flow; Maintenance engineering; Optimization; Schedules; Switches; Maintenance schedule in power system; genetic algorithm; load transfer path; net reconfiguration;
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
DOI :
10.1109/APAP.2011.6180537