Abstract
Smart grid systems face significant challenges with power transformer maintenance due to the complex data generated and the critical role transformers play in grid reliability. Current solutions, such as reactive maintenance and scheduled inspections, often fall short of managing this complexity. Reactive maintenance is costly and introduces delays as faults are often only addressed after they've led to system issues. Scheduled inspections, while proactive, are time-intensive and do not capture real-time fault conditions. These drawbacks lead to increased operational costs, extended downtimes, and reduced grid reliability, emphasizing the need for a predictive and real-time fault management solution.
Researchers at Florida Atlantic University have developed PowerGPT, a cutting-edge artificial intelligence system that leverages advanced machine learning, natural language processing, and cloud-based frameworks for big data analysis and management in smart grid systems. The system provides real-time, predictive diagnostics for power transformers, enabling proactive management of grid health and reducing costly downtime associated with reactive maintenance. Unlike traditional methods, PowerGPT integrates a high-accuracy classification model into a user-friendly, conversational interface that can analyze vast datasets quickly and effectively, identifying and categorizing faults with 97% accuracy. Currently, the innovation is at the proof-of-concept stage, with successful demonstrations of its diagnostic capabilities, and development is underway to expand its real-world application potential.
FAU seeks to advance this innovation into the marketplace through licensing or development partnerships.
Benefit
Proactive System Management - Predictive maintenance and optimizationStreamlined Grid Control - User-friendly interface with visual diagrams and chatbotAll-in-One Platform - Wind power forecasting, power plant and assets mapping, fault diagnosis, and interactive data dashboardEasy to Scale - Seamlessly adapts to various grid sizes and infrastructures, with a modular design that allows for effortless integration of new functionsMarket Application
Consumer Energy Insights - Smart meter data management for end-usersScalable Utility Solutions - Subscription-based model for utility companiesEnergy Maintenance Providers - Real-time diagnostics and seamless data access for techniciansPublications
A ChatGPT-like Solution for Power Transformer Condition Monitoring
Brochure
