对于电源检查中的固定无人机巢的双阶段位置分配优化方法,考虑节点故障场景
Zheng Huang1, Hongxing Wang1, Yiming Tang1
1State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
本研究介绍了一种优化方法,用于在电力检查中部署无人机,大大降低成本并减少所需的数量. 该方法提高了电网维护操作的可靠性和效率.
科学领域:
- 运营研究 运营研究
- 机器人技术 机器人技术 机器人技术
- 电气工程 电气工程
背景情况:
- 电力检查操作越来越依赖于无人机 (UAV).
- 目前的无人机巢部署策略面临着可靠性和成本效益方面的挑战.
- 潜在的巢穴故障可能会破坏关键的检查任务.
研究的目的:
- 开发一个优化的两阶段位置分配方法,用于无人机巢在电力检查.
- 尽量减少无人机的数量和相关的部署成本.
- 提高基于无人机的电力检查系统的整体可靠性.
主要方法:
- 提出了一个两阶段的位置分配模型.
- 第一个阶段使用整数线性编程 (ILP) 和Gurobi解答器确定了最佳的巢穴位置.
- 第二阶段使用了ILS-SA启发式算法来选择无人机类型和任务分配.
主要成果:
- 拟议的方法将总成本降低了33.9%.
- 与当前的贪部署方法相比,所需的无人机数减少了32%.
- 在中国的一项案例研究证实了该方法的有效性和实用性.
结论:
- 开发的方法为基于无人机的电力检查提供了显著的成本效益改善.
- 该方法通过优化集群配置和部署来提高电力检查系统的可靠性.
- 这项研究为寻求优化无人机运营的电网公司提供了实际解决方案.
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