• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (1): 100-108.doi: 10.12204/j.issn.1000-7229.2023.01.012

• Smart Grid • Previous Articles     Next Articles

Fast Detection Based on GIM Model for Hidden Dangers in Transmission Lines

QI Lizhong(), ZHANG Su(), ZHANG Yaping(), SUN Xiaohu   

  1. State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
  • Received:2022-09-20 Online:2023-01-01 Published:2022-12-26
  • Contact: ZHANG Su E-mail:1465977714@qq.com;zhangsu615@163.com;yp_zhang2001@sina.com


In order to solve the problems of low detection efficiency of existing channel hidden danger detection methods of transmission line GIM (grid information model) model and missing detection of optimization algorithm, a fast detection method of channel hidden danger, which is based on the principle of equal line length point aggregation and sphere inclusion, is proposed. Firstly, according to the equal line length interval sampling, the conductor is transformed from the spatial curve to the discrete point set, so that the discrete point set is evenly distributed on the power line, so as to solve the problem of uneven distribution of discrete point set and poor accuracy of special gear in the traditional equal level interval sampling method; Secondly, in the process of batch point hidden danger detection, the sphere inclusion principle is introduced to judge the potential hidden dangers of ground objects, and the adjacent point search calculation is skipped for the ground objects that do not have the potential hidden dangers, so as to realize the rapid detection of channel hidden dangers. Experiments show that this method can ensure the distribution of sampling points in both ordinary and special gears, and control the positioning tolerance of the nearest point within the target range; In terms of detection efficiency, the hidden danger detection time can be optimized to 6.9% of the original time on the premise of ensuring the detection accuracy.

This work is supported by State Grid Corporation of China Research Program(No. 5700-202156170A-0-0-00).

Key words: grid information model (GIM), overhead transmission line, channel hidden danger detection, equal line length interval, sphere inclusion principle

CLC Number: