Challenges faced by distribution utilities
What is the Grid Edge?
Eaton’s Digital Grid Edge Platform
Eaton's Digital Grid Edge platform is:
At its heart, the Virtual RTU App
Key Benefits of the RTU App
Flexibility, Scalability, and Interoperability
Comprehensive Protocol Library
Advanced automation scripting capabilities
Cybersecurity Measures
Integration with Utility Systems
Sophisticated Commisioning and Troubleshooting
The real value of Edge Intelligence - Power Systems Apps and expertise
Problems we help solve
Asset Health Monitoring: Continuously monitor and assess the health of existing assets – based on their local context - to ensure optimal operation and longevity, maximizing capacity.
DER Integration Management: Seamlessly integrate legacy generation alongside renewable sources and battery energy storage systems (BESS) for effective resource management.
Power Quality Management: Enhance voltage and frequency stability by utilizing edge analytics and integrated Volt-VAR control.
Protection Coordination: Address challenges posed by bi-directional power flow and the constant fluctuations in renewable generation, ensuring reliable protective measures.
Demand Response and Customer Empowerment: Leverage analytics to reduce peak consumption by optimizing load profiles and increasing customer engagement.
Load Profiling and Forecasting: Utilize real-time data to gain deeper insights into load profiles, improving the accuracy of local demand forecasting.
Predictive Monitoring: Use real-time data to anticipate asset failures and assess grid conditions.
Optimal Maintenance Timing: Implement analytics for informed maintenance scheduling.
Capacity Optimization: Identify and optimize usage of underutilized or fragile assets for enhanced efficiency and extended asset life.
Microgrid and Islanding: Enable localized operation when centralized systems fail.
Enhanced Data for ADMS Models: Leverage edge nodes to enrich data sent to ADMS and DERMS to improve model accuracy.
Localized Weather Monitoring: Use environmental sensors for better weather-related response and forecasting.
Post-Fault Analysis: Analyze sequence of events and grid performance after events to strengthen infrastructure.
Fast FLISR System: Implement edge-based Fault Location Isolation and Service Restoration to drastically reduce response times (from several minutes to a few seconds)
Dynamic Load Balancing: Utilize edge applications for responsive load adjustments.