New heights for grids infrastructure inspection
Unmanned Aerial Vehicles (UAVs), or drones, are increasingly used in inspecting electric power systems due to their efficiency, safety, and ability to access hard-to-reach components. Their applications on power systems span across generation, transmission, and distribution segments, including renewable and non-renewable energy industries. This article introduces the reader to various aspects of drone-based inspection for grids infrastructure, with a focus on the visual, thermal and corona camera inspection of power lines.
Key applications
The key applications of drones in power systems could be categorized based on the part under consideration:

- Power Lines and Transmission Towers Inspection
- Visual Inspection: High-resolution cameras capture images of insulators, conductors, bolts, and fittings to detect corrosion, wear, or bird nests.
- Thermal Imaging: Which identifies hotspots caused by loose connections or overloads that could lead to failures.
- Corona Detection: Ultraviolet (UV) sensors detect electrical discharge issues (corona effect) invisible to the naked eye.
- 3D Modeling: Using photogrammetry or LiDAR (Light Detection and Ranging), 3D modeling aids in detecting vegetation encroachment, and also aids in maintenance planning and asset management by assessing the condition and alignment of towers and monitoring the power lines sag.
- Wind Turbine Inspection
- Blade Damage Detection: Visual and infrared drones detect cracks, lightning strikes, and erosion on blades without stopping the turbine.
- Nacelle and Hub Inspection: Drones aid in inspecting hard-to-reach components on top of turbines.
- Structural Integrity Checks: Detect rust or physical damage to towers, especially in offshore farms.
- Solar Farm Inspection
- Thermal Imaging: Quickly identifies underperforming or malfunctioning PV cells and panels through heat signatures (e.g., hotspots).
- Visual Surveys: Detect physical damage, debris, or shading on panels.
- Performance Analytics: Combine drone data with software to assess output efficiency and plan maintenance.
- Substation and Facility Inspection
- Thermal and Visual Scans: Identify overheating equipment, corrosion, and damaged components.
- Roof and Structural Checks: Inspect hard-to-access buildings and transformers safely from above.
- 3D Modeling: Aids in maintenance planning and asset management using photogrammetry or LiDAR.
Power Lines and Transmission Towers Inspection
Traditional power line inspection methods have long faced significant challenges. These inspections typically rely on manual ground patrols and manned helicopters; the first approach is labor-intensive and time-consuming, while the second one is generally costly, noisy, and poses significant safety risks. These conventional approaches often prove inefficient, particularly in remote, mountainous or forested regions, or in harsh climatic environments, where access is difficult and risks are heightened.
In this context, drone systems have become an important alternative for power line inspections due to their ability to improve safety, efficiency, and cost-effectiveness, compared to the aforementioned traditional approaches. These systems employ various sensors, including optical cameras, thermal imaging, and corona cameras, to collect comprehensive data on the infrastructure under consideration. The main areas where drone-based solutions are efficiently applied include inspection and fault detection.

Visual Inspection
Equipped with high-resolution optical cameras, drones, such as M350 RTK, can capture detailed images and videos of critical infrastructure components including insulators, conductors, towers, and hardware connections. These visuals allow for the identification of damage, corrosion, loose fittings, vegetation encroachment, and other anomalies that may compromise system reliability. Unlike manual inspections, drones can cover large distances quickly and access remote or hazardous locations with minimal risk to personnel.
In addition to enhancing safety and efficiency, drone-based inspections support data-driven maintenance strategies. The visual data collected can be processed using an appropriate software package, such as DJI Terra; specialists can also implement artificial intelligence (AI) and machine learning algorithms to automatically detect faults and prioritize repairs. Drones can also perform routine inspections more frequently than traditional methods, helping utility companies move from reactive to predictive maintenance models. This improves grid reliability, reduces downtime, and lowers operational costs while minimizing environmental impact from ground vehicles or helicopters.
“Overall, the M300 RTK with Zenmuse H20 Series payload has increased our efficiency by at least 30 percent. This means that this drone is not just a purchase for us; it’s an investment that would pay for itself.” – Jake Lahmann, Quality – UAS Manager, Valmont Utility

Thermal Imaging
Drones equipped with thermal imaging cameras are increasingly used for the inspection of power and transmission lines, providing critical insights into the thermal behavior of electrical components. These inspections help identify overheating connections, faulty insulators, unbalanced loads, or deteriorating conductors—issues that might not be visible during standard visual inspections but can lead to equipment failure or power outages if left undetected. By capturing infrared images and thermal video from the air, drones can quickly survey extensive power networks without the need to shut down operations or dispatch crews to potentially dangerous heights.

Thermal drone inspections are especially valuable for preventive and predictive maintenance. The data gathered allows utilities to detect early signs of electrical stress or degradation, prioritize maintenance activities, and avoid costly emergency repairs. Combined with Global Positioning System (GPS) and analytics software, drones can also map hot spots over time, enabling historical comparisons and trend analysis. This enhances decision-making, improves system reliability, and extends the life of critical assets – all while reducing inspection time, cost, and safety risks for field personnel.
Corona Discharge Detection

Corona discharge _ a partial discharge caused by ionization of the air surrounding conductors _ can indicate insulation degradation or equipment failure risks in power transmission systems.
Corona discharge affects power line efficiency in several measurable ways:
- Power loss and reduced energy efficiency
Corona losses range from 0.1 to 2 kW per kilometer of high-voltage line. It can account for up to 0.5% of total transmission losses, especially in older or poorly maintained grids. - Accelerated Insulator Aging
Corona produces ozone and nitric oxides that chemically degrade insulation; thus, it can shorten insulator lifespan by 30-50%. - Increased Maintenance Costs
Maintenance cycles may increase by 10-20% due to corona effects. - Audible Noise and Electromagnetic Interference
- Audible noise levels: 40-60 dB at ground level under wet conditions.
- It can also cause electromagnetic interference over several kilometers from high-voltage lines.

Therefore, corona detection is important, as it improves the efficiency and reliability of power lines. Traditionally, corona detection involved manual inspections using handheld ultraviolet (UV) or ultrasonic detectors, which are labor-intensive, time-consuming, and potentially hazardous. Drones, however, can carry UV cameras, ultrasonic sensors, or radio frequency (RF) detectors, enabling precise, remote detection of corona activity without interrupting operations or exposing personnel to high-risk environments.
Conclusion
Drone-based inspection using visual, thermal, and corona cameras represents a transformative shift in how power lines and grid infrastructure are monitored and maintained. By offering safer, faster, and more cost-effective alternatives to traditional inspection methods, drones enhance operational efficiency, reduce downtime, and support proactive maintenance strategies, which leads to achieving smarter, more reliable, and resilient energy networks.