From Concept to Reality: Energy Research & Product Innovation

Grid Resilience through Risk-Managed Power Flow Optimization

This project developed a risk-managed optimization framework to improve grid stability under renewable energy uncertainty. By integrating risk-aware dispatch modeling, it enables utilities to proactively mitigate violations and enhance reliability.

Improving Energy Forecasting with Advanced Data Analysis

This project analyzed forecasting deficiencies in day-ahead wind and solar power predictions, highlighting their impact on grid congestion, voltage stability, and operational costs.

PyOPF – Advanced AC Optimal Power Flow Modeling

PyOPF is an open-source Python-based AC Optimal Power Flow solver designed to improve knowledge and access of grid optimization models.

Next-Generation Modeling for Inverter-Based Distributed Energy Resources

This 2021 project developed a circuit-based analytical model for inverter-based distributed energy resources (DERs) to improve power system simulations and operational planning.