Content for  TR 22.837  Word version:  19.3.0

In the future, there will be more and more autonomous driving devices, such as drones and self-driving cars. These devices have a strong ability to affect the surrounding environment, which may have an impact on the operating equipment in Smart Grid. For example, vehicles, such as UAVs and engineering vehicles, may affect the operation safety of multiple links such as power generation, power transmission, and power transformation. At present, multiple scenarios of power transmission and transformation in the Smart Grid industry have potential combination with integrated sensing and communication technology. Among them, there are related accidents caused by hooking or damaging transmission lines by vehicles in the power transmission process. Thus, the transmission stations need to identify and warn vehicles. In the process of power transformation, there are security risks such as candid photography and attack by drones, getting electric shock when approaching, etc. In a word, there are requirements for perimeter intrusion detection and UAV detection in substations.

There are existing 5G base stations deployed near the transmission stations and substations, which can provide constant remote sensing of the location of intruders in the coverage area including UAVs, engineering vehicles and pedestrians. Network operator A can use these 5G base stations to provide 5G sensing service for the Smart Grid operator X, including sensing the motion trail of the UAVs, vehicles and pedestrians in their working area. The Smart Grid Operator X uses the 5G sensing service provided by 5G network Operator A to detect potential intrusion/approaching of UAVs, vehicles and pedestrians near the transmission stations and substations. The Smart Grid operator sets the border of restricted area for the transmission stations/lines and substations in which no UAVs, vehicles or pedestrians can be access, and define a warning distance value. Once a UAV, traffic vehicle, or pedestrian is detected that its distance from the border is less than the warning distance value, the 5G system will report the event to the Smart Grid operator to send the alerting message. The 5G base stations can sense the location of the UAV/traffic vehicle/pedestrian constantly and send these data to the 5G core network. Then the sensing node and computing node can analyse and predict the path of the UAV or pedestrian according to a large amount of data and give early warning of potential security risks.

1. The Smart Grid Operator X requests sensing service from network operator A to collect sensing data in the defined area (i.e., the park covering transmission stations and substations). The network operator A configures the base stations located in the defined area to perform sensing.
2. The 5G RAN constantly collects 3GPP sensing data of the location of UAVs/vehicles/pedestrians in the defined area and send the sensing data to the 5G core network with a defined frequency to obtain the sensing result (i.e., the distance between the UAV/traffic vehicle/pedestrian and the border or motion trail).
3. The 5G system will send notification to UAVs/vehicles/pedestrians with UE that they are near a restricted area. 5G system will also report the sensing results to the Smart Grid operator. The Smart Grid operator determines to send the alerting message to the intruding/approaching UAVs/vehicles/pedestrians based on the sensing results. In addition, the staffs working in the park respond to the emergency and prepare to intercept the intruding/approaching if the UAVs/vehicles/pedestrians are not away.

The UAVs/vehicles/pedestrians are away from the defined area. Potential security risks are avoided. Thanks to the wide-area and constant sensing capability of the 5G base station, and the precise data processing and prediction by the 5G core network, the safety supervision of the Smart Grid is improved.

In TS 22.261, there are existing requirements on information exposure: In clause 6.10:

[PR 5.22.6-1] [PR 5.22.6-2] [PR 5.22.6-3]