scholarly journals Directed graph-based distribution network reconfiguration for operation mode adjustment and service restoration considering distributed generation

2016 ◽  
Vol 5 (1) ◽  
pp. 142-149 ◽  
Author(s):  
Haifeng HONG ◽  
Zhesheng HU ◽  
Ruipeng GUO ◽  
Jun MA ◽  
Jiong TIAN
2013 ◽  
Vol 303-306 ◽  
pp. 1276-1279
Author(s):  
Hai Na Rong ◽  
Yan Hui Qin

Power network reconfiguration is an important process in the improvement of operating conditions of a power system and in planning studies, service restoration and distribution automation when remote-controlled switches are employed. This paper presents the use of a quantum-inspired evolutionary algorithm to solve the distribution network reconfiguration problem. The quantum- inspired evolutionary algorithm is the combination product of quantum computing and evolutionary computation and is suitable for a class of integer programming problems such as the distribution network reconfiguration problem. After the analysis and formulation of the distribution network reconfiguration problem, the effectiveness and feasibility of the introduced method is verified by a large number of experiments.


2014 ◽  
Vol 492 ◽  
pp. 478-481 ◽  
Author(s):  
Hui Lan Jiang ◽  
Ya Wei Wang ◽  
Jing Peng Wang ◽  
Zhang Zhang

This paper puts forward a distribution network reconfiguration method which takes into account voltage sag, and this method takes advantage of genetic algorithm in handling optimization problems and can optimize a superior distribution operation mode which makes the important load sag in the lowest degree besides satisfies the distribution network constraint. IEEE 16 nodes system is cited as an example. The simulation result shows that the distribution network operation mode got by the proposed method ensures the distribution network loss within reasonable limits as well as minimizes voltage sag in the important load node. This approach presented is of both efficient and practical.


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