Title :
Recovery of Distribution Network Based on Optimization and Artificial Intelligent
Author_Institution :
Dept. of Electr. & Electron. Eng., EastChian JiaoTong Univ., Nanchang, China
Abstract :
Recovery of distribution network is an important part of distribution automation, and it is also the basis of self-healing of the smart grid. The model of recovery of distribution network is constructed based on the principle of the optimization. considering its multi-objective, non-linear characteristics of combinatorial optimization, genetic algorithm is used to solve the issue of recovery. The feasibility and effectiveness of this method is verified by the example of the 13 nodes network.
Keywords :
artificial intelligence; combinatorial mathematics; genetic algorithms; nonlinear programming; power distribution faults; power engineering computing; smart power grids; artificial intelligent; combinatorial optimization; distribution automation; distribution network recovery; genetic algorithm; multiobjective characteristics; nonlinear characteristics; self-healing; smart grid; Biological cells; Genetic algorithms; Linear programming; Optimization; Sociology; Statistics; Switches;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307655
