Time-Domain Fault Detection and Location Scheme for Flexible DC Distribution Networks

Yafei Li, Jie Li, Kejun Qian, Xiuyong Yu () and Xinsong Zhang
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Yafei Li: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Jie Li: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Kejun Qian: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Xiuyong Yu: School of Electrical Engineering and Automation, Nantong University, Nantong 226019, China
Xinsong Zhang: School of Electrical Engineering and Automation, Nantong University, Nantong 226019, China

Energies, 2024, vol. 17, issue 20, 1-18

Abstract: Accurately detecting and locating the fault point of the DC line is significant for eliminating the fault and restoring the power supply of the flexible DC distribution network as soon as possible. Firstly, a direction pilot protection scheme for a complex DC distribution network is proposed based on the integral of the current superposition to identify the fault direction. Then, an online time-domain fault location method based on the least square (LS) method to solve the overdetermined equations is proposed by analyzing the fault loop circuit after the DC line fault. The proposed location scheme utilizes fault data at both ends of the line to eliminate the theoretical impact of fault resistance, and the calculation of the current difference method is discussed to reduce the location error of whether the fault current-limiting reactor (CLR) exists. Finally, various simulations by PSCAD/EMTDC V4.5 demonstrate that the proposed scheme has high protection reliability and location results after different fault positions and resistances. The proposed scheme has low requirements for the sampling rate, fault data length, and implementation costs, which can meet practical application requirements.

Keywords: least square (LS) method; flexible DC distribution network; fault detection; online fault location; current-limiting reactor (CLR) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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