The PoleOS™ Company
Electric utilities are facing tougher challenges in keeping power flowing reliably. From hurricanes to ice storms to record-breaking heatwaves and wildfires, extreme weather is hitting harder and more often, making the grid more vulnerable and raising the stakes for reliable service.
Top-performing utilities are taking a comprehensive approach to resilience, including proactive strategies, data-driven decision-making, and tapping into new technologies. Overhead distribution asset management plays a vital role in this approach.
We identified three best practices in managing overhead infrastructure that are key to successful resilience programs:
The first step towards a resilient grid is understanding its weaknesses. A thorough vulnerability study is crucial for identifying and prioritizing risks. This involves:
By understanding asset integrity and specific risks to infrastructure, utilities can prioritize preparedness initiatives and allocate resources more effectively.
Regular inspections are essential for maintaining grid health, and advanced data collection and analysis tools are transforming these programs. Utilities can gain a comprehensive view of network conditions by:
Tools like IKE Office Pro enhance data accuracy and consistency, creating a digital record of grid infrastructure. Structural analysis software like IKE PoleForeman enables utilities to quickly assess load case requirements and ensure consistent application of design standards, leading to faster decision-making. This data-driven approach supports strategic decisions like reinforcing power lines in high-wind areas, replacing aging poles, and upgrading equipment in flood-prone zones.
Modern technologies offer significant opportunities to enhance grid resilience. For example, AI and machine learning can help identify patterns in asset data and historical events to produce predictions that help inform utility programs and spend.
Advanced pole data acquisition and analysis tools provide the precise, structured data needed for accurate machine learning models. Detailed measurements and imagery of utility poles, structures, and surrounding environments are crucial inputs for AI models. Standardizing field-collected data ensures consistency across datasets, which is critical for training AI models and integrating with other data sources.
By embracing these data-centric technologies, utilities can proactively address vulnerabilities and build a more resilient grid.
Brett Willitt is a Senior Vice President of Product for ikeGPS. Brett has more than 25 years of grid asset management experience and is widely considered one of the leading structural analysis and structure management experts in the US. He holds a BS in Civil Engineering from Clarkson University.
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