Abstract

At present, the deployment of obstacle avoidance nodes of overhead transmission lines in the airport clearance protection area is generally set in a decentralized manner, and the coverage of obstacle avoidance is limited, which leads to the difficulty of the final optimization results of obstacle avoidance to meet the expected standards, and the cost of obstacle avoidance increases. Therefore, the design and analysis of the optimization method for obstacle avoidance of overhead transmission lines in the airport clearance protection area based on the GSA algorithm are proposed. According to the current optimization requirements, the multi-step method is adopted first to break the limit of obstacle avoidance coverage and complete the multi-step deployment of obstacle avoidance recognition nodes and obstacle feature collection. Based on this, the GSA calculation optimization model for obstacle avoidance of overhead transmission lines in the airport clearance protection area is constructed, and the adaptive navigation path planning correction method is used to optimize obstacle avoidance. The test results show that compared with the deployment method of high-voltage transmission lines and the obstacle avoidance optimization of typical cross-coupled transmission lines in the improved YOLOv5, the GSA algorithm in this design finally obtains fewer obstacle avoidance costs for overhead transmission lines in the airport clearance protection area, which indicates that the cost of obstacle avoidance processing has been effectively controlled with the help and support of the GSA algorithm. The specific effect has also been verified in practice.

Details

Title
Optimization method for obstacle avoidance of overhead transmission lines in airport clearance protection area based on GSA algorithm
Author
Zhuang, Hongshan 1 ; Yin, Xiang 1 ; Cui, Fuhai 1 ; Liu, Lijun 1 ; Tao, Yuxin 1 ; Xu, Li 2 

 State Grid Xinjiang Electric Power Co., Ltd , Urumqi 830000, China 
 CAST Zhongyu (Beijing) New Technology Development Co., LTD , Beijing 100028, China 
First page
012040
Publication year
2025
Publication date
Feb 2025
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3173383545
Copyright
Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.