Technical Description
A deep learning based cascaded control system that enhances power system resiliency by forecasting load demand for optimal scheduling and operation during disruptions.
Problems Addressed
- Load Demand Mismatch
- Frequency Deviation
- Tie Line Instability
- Poor Convergence
- Local Optimum Trapping
- Limited Resiliency
- Inefficient Scheduling
- Unreliable Operation
Tech Features
- Enhanced System Resiliency
- Accurate Load Forecasting
- Optimal Power Scheduling
- Efficient Disturbance Rejection
- Improved Dynamic Response
- Faster Convergence Rate
Target Audience
- Smart Grid Operators
- Renewable Energy Industry
- Research and Development
- Power Utilities
Tech ID: P02-1637 TRL 5 Patent Status: Granted Available For Exclusive and Non-exclusive License
