The challenge facing today's utility operators isn't a lack of data—it's data paralysis. After years of equipping our grid infrastructure with intelligent devices, we're producing unprecedented amounts of operational data. Still, many utilities find it difficult to turn these digital insights into concrete actions that genuinely improve grid performance and customer experience. As power demand rises from data centers, electric vehicle charging and distributed energy resources, the need for proactive grid management has never been more urgent. Utilities must serve increasing customer bases, incorporate variable renewable energy sources and uphold high reliability standards—all while preparing for more extreme weather events. The solution isn’t about collecting more data, but about strategically integrating existing data streams with targeted automation technologies to generate actionable intelligence where it counts most: at the grid edge. Why the grid edge holds the key to resilience Distribution systems represent both utilities' greatest vulnerability and their biggest opportunity for improvement. According to the U.S. Energy Information Administration, investments in distribution grids have surged 160% over the past two decades, yet most outages still originate from these networks. The grid edge(neighborhood lines) presents compelling opportunities for resilience improvements: Fault characteristics: Approximately 80% of overhead distribution faults are temporary, caused by wildlife contact, vegetation, or weather conditions. The right technology can prevent these momentary disturbances from becoming sustained customer outages. The power of strategic technology integration Traditional grid modernization often follows a reactive approach—replacing equipment after failure and implementing point solutions that operate in isolation. This fragmented strategy delivers limited value and fails to capitalize on the complementary effects between hardware upgrades and data systems. True transformation happens when utilities strategically merge automation technologies with data analytics platforms. This combined approach delivers three unique operational benefits: Enhanced prevention: Predictive analytics identify equipment degradation patterns and environmental risk factors before they cause outages. Implementing intelligence where it matters most The question is: where should utilities focus on these integrated technology investments to achieve the greatest impact? The answer is that different parts of the distribution system need different strategies based on their specific operational challenges and fault characteristics. Overhead distribution lines face specific vulnerabilities—wildlife contact, vegetation interference and weather exposure—that lead to predictable fault patterns. Underground systems, although protected from environmental hazards, present different challenges for fault detection and location. Each environment requires tailored solutions that combine the right automation and data technologies. Fortunately, there are proven strategies for implementing both overhead and underground distribution systems. These examples demonstrate how utilities can adopt integrated solutions that address the unique resilience challenges of each environment. Proven Solutions for Overhead Distribution Outage prevention strategies Grid segmentation optimization: Implementing smart switching devices to create distribution segments serving 100-300 customers limits outage scope and enables more targeted restoration efforts. This approach significantly reduces both the number of affected customers per incident and the complexity of restoration operations. Service restoration enhancement Underground Distribution Transformation Predictive maintenance programs: Digital transformer monitors continuously assess equipment health and transmit data to AI-powered analytics platforms. These systems can predict equipment failures up to months in advance, enabling proactive maintenance that reduces unplanned downtime by up to 50%. Automated restoration capabilities: Measuring success: From investment to impact The true measure of successful grid modernization isn't the number of new technologies deployed — it's the visible improvement in system performance and customer experience. When utilities strategically combine automation and data technologies at the grid edge, they typically achieve: Building tomorrow's grid today Grid modernization is fundamentally about building a foundation for the energy future. The technologies and data systems deployed today at the grid edge will support tomorrow's distributed energy resources, electric vehicle integration and dynamic load management needs. By turning existing data into actionable insights and strategically implementing automation technologies where they are most effective, utilities can create resilient distribution networks that reliably serve customers today while preparing for future demands. The path forward requires moving beyond data collection to data activation, turning insights into automated responses that strengthen the grid where customers feel it most. Utilities that make this transformation don’t just improve operational metrics; they create competitive advantages through improved reliability, optimized asset utilization and enhanced customer trust. As customer expectations for reliable power continue to rise, the utilities that successfully integrate automation with data intelligence at the grid edge will set the standard for modern distribution operations. Kumar Chandran is senior director – Market Strategy and Business Development at S&C Electric Company. Chandran is responsible for driving the global growth of S&C’s Utility Grid Automation business, customers enhance grid resiliency and reliability. His team works with utilities to craft insight-driven business cases and compelling stories that highlight the real-world impact of adopting innovative technologies. Beyond adoption, the team plays a critical role in helping scale these solutions across utility operations—accelerating transformation and delivering long-term value. Chandran has been with S&C for 19 years, bringing broad experience across engineering, operations, services, strategy and business development. He holds a master’s degree in mechanical engineering from the Illinois Institute of Technology and an MBA in strategy and international business from Northwestern’s Kellogg School of Management. Quarterly Issue 1 This website uses cookies More This information is used to measure browsing behavior, produce statistical reports, improve the browsing experience and survey Internet users. You can configure cookies and withdraw your consent at any time. Additional information can be found in our privacy policy . Refused Customize