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[论文]郑宇军.Evolutionary Human-UAV Cooperation for Transmission Network Restoration

时间:2021-01-08 13:32:06 文章来源 :学科 浏览量:0

Zheng, Y. J., et al. (2021). "Evolutionary Human-UAV Cooperation for Transmission Network Restoration." Ieee Transactions on Industrial Informatics 17(3): 1648-1657.

http://ieeexplore.ieee.org/document/9122474/

Power transmission networks are vulnerable to natural or man-made disasters, and it is of critical importance to efficiently restore damaged power supply in disaster-affected areas. A large-scale damaged transmission network can contain many faults that are initially uninspected/unlocated. Using unmanned aerial vehicles (UAVs) to inspect these faults can significantly improve the efficiency of subsequent restoration performed by human operators. Such a cooperative human-UAV scheduling problem is highly complex due to the correlation between UAV schedules and human-team schedules. In this article, we propose a cooperative evolutionary algorithm that simultaneously evolves two populations, one of UAV scheduling solutions (U-solutions) and the other of human-team scheduling solutions (H-solutions), which cooperate by determining a best matching U-solution for each H-solution and evaluating U-solutions based on a surrogate objective function that is iteratively improved by feedback from H-solutions. Our algorithm exhibits significant performance advantages over the state-of-the-arts on various test instances and an application to transmission network restoration in the 2017 Jiuzhaigou earthquake.