Title :
A two-terminal fault location algorithm using asynchronous sampling based on genetic algorithm
Author :
Zhang Jian ; Zhou Hongjun ; Qian JiangFeng
Author_Institution :
NARI Technol. Dev. Co., Ltd., Nanjing, China
Abstract :
Considering the deficiency in traveling wave fault location and digital fault location, the paper proposes a two-terminal fault location algorithm with unsynchronized sampling based on genetic algorithm. Location is not affected by pseudo roots, false resistance, system impedance or types of faults. Besides, strategy for selecting initial interval adaptively is adopted to accelerate convergence speed greatly. The simulation results show that this algorithm has fast convergence and high accuracy of location with any iteration point on the line. The accuracy meets the actual requirement and this method has high practical value.
Keywords :
fault location; genetic algorithms; sampling methods; asynchronous sampling; convergence speed; digital fault location; false resistance; genetic algorithm; iteration point; system impedance; traveling wave fault location algorithm; two-terminal fault location algorithm; unsynchronized sampling; Equations; Fault location; Genetic algorithms; Mathematical model; Power system stability; Power transmission lines; Resistance; fault location; genetic algorithm; selecting the initial interval adaptively; two-terminal fault location; unsynchronized sampling;
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.2011.6180605