摘要
针对无人机巢在电力巡检应用中的配置部署问题,提出一种定量分析决策方法。基于无人机巢自身特性的约束,以总成本最小为目标建立整数规划模型,并采用改进模拟退火算法对模型求解,计算无人机巢最优部署位置。将计算结果与传统模拟退火算法结果对比,以证明所提算法和模型的可行性与有效性。选取佛山某地区无人机巢的应用案例进行分析,结果表明所提方法能有效降低无人机巢部署成本,提高无人机巢利用率,具有工程实际应用价值。
Aiming at the configuration and deployment of unmanned aerial vehicle(UAV)nest in power inspection application,this paper presents a quantitative analysis and decision-making method.Based on the constraints of the characteristics of the UAV nest,an integer programming model is established to minimize the total cost,and an improved simulated annealing algorithm is used to solve the model and calculate the optimal deployment location of the UAV nest.Compared with the results of traditional simulated annealing algorithm,the feasibility and effectiveness of the proposed algorithm and model is proved.The paper selects an application case of the UAV nest in a certain area in Foshan for analysis,and the results show that the proposed method can effectively reduce the deployment cost of the UAV nest and improve its utilization rate.The research results can provide decision-making and reference basis for the configuration and deployment of UAV nest for transmission line inspection,and have practical application value.
作者
麦俊佳
崔巍
曾懿辉
MAI Junjia;CUI Wei;ZENG Yihui(CSG Guangdong Foshan Power Supply Bureau,Foshan,Guangdong 528000,China;School of Automation Science and Technology,South China University of Technology,Guangzhou,Guangdong 510640,China;School of Civil Engineering and Transportation,South China University of Technology,Guangzhou,Guangdong 510640,China)
出处
《广东电力》
2023年第2期102-108,共7页
Guangdong Electric Power
基金
中国南方电网有限责任公司科技项目(GDKJXM20201751)。
关键词
无人机巢
部署方法
整数规划模型
模拟退火算法
UAV nest
deployment method
integer programming model
simulated annealing algorithm
