Journal
INFORMATION SCIENCES
Volume 275, Issue -, Pages 13-29Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.02.039
Keywords
Power system fault diagnosis; History driven differential evolution; Stochastic time domain simulation
Categories
Funding
- Changsha University of Science and Technology
Ask authors/readers for more resources
Fault diagnosis is an important task in power system analysis. In this paper, a hybrid method is proposed to perform online fault diagnosis of transmission lines. Stochastic time domain simulation (STDS) is firstly introduced to generate simulated fault and system data so as to improve the computational speed of fault diagnosis and handle the possible malfunction of protective relays and circuit breakers. The fault diagnosis problem is then formulated as an optimization problem, which can take into account the possible malfunction of protection devices and post-fault system trajectories. We propose a novel optimization algorithm, namely history driven differential evolution (HDDE) to solve the formulated optimization problem. The proposed methodology is finally tested using comprehensive case studies to demonstrate its effectiveness. (C) 2014 Published by Elsevier Inc.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available