Joint Device Association and Trajectory Optimization for Multi-UAV Enabled Power Transmission and Distribution Scenarios

Haoran Sun, S. Geng, Jiayan Liu, Zhiyu Chen, Hongxi Zhou, Xiongwen Zhao
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Abstract

With the comprehensive deployment of smart grid equipment, more and more data are generated, which needs to develop effective solutions to improve energy efficiency optimization for power transmission and distribution scenarios. In this paper, energy efficiency of multi-unmanned aerial vehicle (UAV) enabled power transmission and distribution system is studied. The UAVs are dispatched as a data relay to forward data to cloud server center on the satellite to aid communication from the power transmission and distribution devices (PDs). The multi-UAV and multi-device of the transmission and distribution scenario of the system are considered. Moreover, by optimizing multi-device scheduling and association, combined with UAV flight trajectory to maximize system energy efficiency for all ground devices are investigated. As the problem is a mixed integer non-convex problem, we use block coordinate descent to decompose the problem into two solvable sub-problems, device association and UAV trajectory, and solve them optimally alternatively. The results show that the proposed algorithm effectively improves the system energy efficiency compared with other algorithms.
多无人机输配电联合设备关联与轨迹优化
随着智能电网设备的全面部署,产生的数据越来越多,需要制定有效的解决方案,以提高输配电场景的能效优化。本文研究了多无人机驱动的输配电系统的能源效率问题。无人机作为数据中继发送数据到卫星上的云服务器中心,以帮助从电力传输和分配设备(pd)进行通信。考虑了系统输配电场景中的多无人机和多设备。此外,通过优化多设备调度和关联,结合无人机飞行轨迹,研究了所有地面设备的系统能效最大化问题。由于该问题是一个混合整数非凸问题,采用分块坐标下降法将该问题分解为两个可解子问题,即设备关联问题和无人机轨迹问题,并交替进行最优求解。结果表明,与其他算法相比,该算法有效地提高了系统的能效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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