Power Generation Technology ›› 2024, Vol. 45 ›› Issue (4): 753-764.DOI: 10.12096/j.2096-4528.pgt.23078

• Smart Grid • Previous Articles     Next Articles

Renewable Energy Distribution Network Overcurrent Protection Based on Positive-Sequence Sudden-Change Component Locus Identification

Weijie WANG1, Xinjie ZENG2, Yuantu XU1, Shuyi LI2, Canhua RUAN1, Ning TONG2, Xiaomei WU2   

  1. 1.Qingyuan Power Supply Bureau, Guangdong Power Grid Co. , Ltd. , Qingyuan 511500, Guangdong Province, China
    2.School of Automation, Guangdong University of Technology, Guangzhou 510006, Guangdong Province, China
  • Received:2024-01-20 Revised:2024-04-30 Published:2024-08-31 Online:2024-08-27
  • Contact: Ning TONG
  • Supported by:
    National Natural Science Foundation of China(51907069);Science and Technology Project of China Southern Power Grid Co., Ltd(GDKJXM20220821);Basic and Applied Basic Research Project of Guangzhou(202201010188)

Abstract:

Objectives With the widespread integration of renewable energy, the uncertainty of power flow in distribution networks with neutral points grounded through small resistors has made the setting of traditional three-stage current protection increasingly complex, and reduced its sensitivity and reliability. To solve the above issues, a new type of current protection based on positive sequence sudden-change variable current phasor trajectory identification was proposed. Methods Firstly, the magnitude and distribution characteristics of the positive sequence sudden-change variable current upstream and downstream of the fault point were analyzed. Secondly, using the affinity clustering algorithm, the defined “main fault path” based on the clustering results was identified. Finally, a novel searching method was proposed to identify the source of the positive sequence sudden-change variable, which was the last level feeder located on the main fault path, as the faulted feeder. Results Simulation research based on PSCAD shows that the proposed protection method can adapt to various fault conditions, is immune to the integration of renewable energy, and has high sensitivity and reliability. Conclusions The research findings are helpful to enhance the operational safety of distribution networks with neutral points grounded through small resistors, and improve the efficiency of fault detection.

Key words: renewable energy, distribution network, relay protection, positive-sequence sudden-change component, affinity clustering algorithm

CLC Number: