DocumentCode :
2895314
Title :
Application of improved ant colony algorithm in fault-section location of complex distribution network
Author :
Jingning, Zhang ; Ren, Zhou ; Kai, Zhong
Author_Institution :
Sch. of Inf. Sci. & Eng., Harbin Inst. of Technol. at Weihai, Weihai, China
fYear :
2011
fDate :
6-9 July 2011
Firstpage :
1067
Lastpage :
1071
Abstract :
Although good application effect of locating faulty section in complex distribution network can be attained by applying ant colony algorithm, however there are also disadvantages such as too long search time and computation time. For this reason, traditional ant colony algorithm should be improved. Firstly, a switching function that can dynamically adapt to topological structure of distribution network is constructed; then a method to set the initial values of ant colony´s pheromone and the disturbance rule of the solution are led in; finally the method to apply the improved ant colony in fault section location of distribution network with multi power supplies is determined. The advantages of the improved ant colony algorithm in calculation speed and error tolerance are verified by results of calculation example.
Keywords :
fault location; optimisation; power distribution faults; ant colony algorithm; complex distribution network; computation time; disturbance rule; error tolerance; fault section location; multipower supply; speed tolerance; switching function; topological structure; Algorithm design and analysis; Fault currents; Fault location; Genetic algorithms; Monitoring; Power systems; Switches; ant colony algorithm; evaluation function; fault-section location of distribution network; pheromone; switching function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location :
Weihai, Shandong
Print_ISBN :
978-1-4577-0364-5
Type :
conf
DOI :
10.1109/DRPT.2011.5994053
Filename :
5994053
Link To Document :
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