{"title":"Joint Device Association and Trajectory Optimization for Multi-UAV Enabled Power Transmission and Distribution Scenarios","authors":"Haoran Sun, S. Geng, Jiayan Liu, Zhiyu Chen, Hongxi Zhou, Xiongwen Zhao","doi":"10.1109/EEI59236.2023.10212838","DOIUrl":null,"url":null,"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.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEI59236.2023.10212838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.