Open AccessFaulty feeder selection and segment location method for SPTG fault in radial MMC‐MVDC distribution grid
Author(s) -
Zeng Yu,
Zou Guibin,
Zhang Xin,
Wei Xiuyan,
Jiang Lingtong,
Sun Chenjun
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6934
Subject(s) - fault (geology) , voltage , current (fluid) , control theory (sociology) , ground , fault indicator , grid , selection (genetic algorithm) , capacitance , waveform , engineering , modular design , computer science , fault detection and isolation , electrical engineering , mathematics , artificial intelligence , physics , control (management) , electrode , quantum mechanics , seismology , geology , actuator , operating system , geometry
As a modular multilevel converter‐based medium‐voltage direct current (MMC‐MVDC) distribution grid mostly utilises small current grounding modes, the weak fault current for single‐pole‐to‐ground (SPTG) fault is very difficult to detect especially in the case of noises and fault resistance. Therefore, this study proposes a fast and accurate faulty feeder selection and segment location method. For SPTG fault, the transient current fault component is the charge–discharge current of distributed capacitance on the DC feeder. Analysis indicates that the waveforms of current fault component of positive and negative poles are negatively correlated for a faulty feeder; while they are positively correlated for a non‐faulty feeder. According to these characteristics, a faulty feeder selection criterion using Pearson correlation coefficient (PCC) is constructed. Then, utilising the energies difference between the current fault components of two poles, the faulty pole can be verified. In addition, the faulty segment is located by the PCC of the current fault component on both sides of each segment. Finally, simulation results confirm the validity of the proposed faulty feeder selection and segment location method.