TY - GEN
T1 - Autonomous power line inspection based on industrial unmanned aerial vehicles
T2 - 87th IEEE Vehicular Technology Conference, VTC Spring 2018
AU - Zhou, Zhenyu
AU - Xiong, Fei
AU - Xu, Chen
AU - Chang, Zheng
AU - Mumtaz, Shahid
AU - Rodriguez, Jonathan
N1 - Funding Information:
This work was partially supported by Beijing Natural Science Foundation (4174104), the Fundamental Research Funds for the Central Universities under Grant Numbers 2017MS13.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/20
Y1 - 2018/7/20
N2 - In this paper, we investigate how to apply industrial unmanned aerial vehicles (UAVs) for autonomous power line inspection in smart grid from an energy efficiency perspective. Firstly, the energy consumption minimization problem is formulated as a joint optimization problem, which involves both the large-timescale optimization and the small-timescale optimization. Then, the NP-hard joint optimization problem is transformed to a two- stage optimization problem based on energy consumption magnitude and optimization timescale differences. Next, the first-stage and second-stage problems are solved by exploring dynamic programming (DP) and auction matching, respectively. Finally, the proposed algorithm is verified based on realistic power grid topology. Simulation results demonstrate that the proposed scheme achieves significant energy consumption reduction.
AB - In this paper, we investigate how to apply industrial unmanned aerial vehicles (UAVs) for autonomous power line inspection in smart grid from an energy efficiency perspective. Firstly, the energy consumption minimization problem is formulated as a joint optimization problem, which involves both the large-timescale optimization and the small-timescale optimization. Then, the NP-hard joint optimization problem is transformed to a two- stage optimization problem based on energy consumption magnitude and optimization timescale differences. Next, the first-stage and second-stage problems are solved by exploring dynamic programming (DP) and auction matching, respectively. Finally, the proposed algorithm is verified based on realistic power grid topology. Simulation results demonstrate that the proposed scheme achieves significant energy consumption reduction.
U2 - 10.1109/VTCSpring.2018.8417772
DO - 10.1109/VTCSpring.2018.8417772
M3 - Conference contribution
AN - SCOPUS:85050996938
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 5
BT - 2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 June 2018 through 6 June 2018
ER -
