An autonomous drone-based system for inspection of electrical substations

Author:

Langåker Helge-André1ORCID,Kjerkreit Håkon1,Syversen Christoffer L1,Moore Richard JD2,Holhjem Øystein H3,Jensen Irene4,Morrison Aiden4,Transeth Aksel A3,Kvien Oddgeir5,Berg Gunnar5,Olsen Thomas A6,Hatlestad Alexander6,Negård Thomas7,Broch Rolf7,Johnsen Jørn E7

Affiliation:

1. KVS Technologies, Sandnes, Norway

2. SINTEF AS, Dept. of Smart Sensor Systems, Oslo, Norway

3. SINTEF AS, Dept. of Mathematics and Cybernetics, Trondheim, Norway

4. SINTEF AS, Dept. Connectivity Technologies and Platforms, Trondheim, Norway

5. SINTEF Energy Research, Dept. of Electric Power Technology, Trondheim, Norway

6. Nordic Unmanned, Sandnes, Norway

7. Statnett, Oslo, Norway

Abstract

In the years to come, large power grid operators will operate and maintain an ever-increasing asset base. New innovative solutions are needed to increase the quality and efficiency of asset management to avoid corresponding growth in resources and cost. To this end, autonomous unmanned aerial vehicles (UAVs) provide a range of possibilities. Here, we present a novel prototype solution for autonomous and remotely operated inspection missions with resident drones on electrical substations, comprising: (1) an autonomous drone with sense and avoid and robustness to harsh weather capability; (2) a drone hangar for remote operations; and (3) drone operations and data acquisition management software. Further, we discuss the possibilities and challenges that such a system offers and give an overview of requirements that are key to realizing the potential of drones for improved asset management. These requirements are based on years of operational experience with electrical substations combined with the lessons learned during the development and testing of our drone system. We also experimentally investigate safety distances between the drone and high-voltage infrastructure. We demonstrate the usefulness of our autonomous inspection solution through extensive field testing at one of Statnett’s fully operational electrical substations.

Funder

Statnett

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

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