Open AccessTravelling‐wave‐based method for fault location in multi‐terminal DC networks
Author(s) -
Lin Qizhi,
Luo Guomin,
He Jinghan
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0744
Subject(s) - terminal (telecommunication) , fault (geology) , computer science , modular design , point (geometry) , traveling wave , power (physics) , topology (electrical circuits) , network topology , arrival time , point to point , real time computing , control theory (sociology) , electrical engineering , engineering , telecommunications , mathematics , computer network , physics , geology , artificial intelligence , mathematical analysis , geometry , control (management) , quantum mechanics , seismology , transport engineering , operating system
Multi‐terminal DC (MTCD) networks have many advantages than traditional point‐to‐point two‐terminal DC systems, and they have been more and more popular in power transmission and distribution with high rate of renewable energy, batteries, and DC loads. However, due to its various connections and the requirement of quick response, fault location for MTDC is still a problem. This study proposed a travelling‐wave‐based fault location method. It only records the first arrival time of travelling waves at all terminals. Graph theory is used to represent the topologies of networks. Once a fault occurs, the first arrival time of travelling waves at each terminal are recorded and extracted by wavelet modular maxima. Then, the shortest paths between any two terminals are assumed to be faulted and the fault occurring time (FOT) of assumed faults is calculated. The true assumption will generate smallest FOT. By selecting the smallest FOT, the real fault can be located. Finally, the proposed method is tested with different simulated scenarios. The influences from background noises, sampling frequencies and ground resistance are also discussed. The simulation results verify the proposed method has a good performance in locating faults in MTDC networks.