Probabilistic Power Flow using MATLAB and MATPOWER
Overview
Power systems planning is becoming increasingly complex as uncertainty grows across both demand and generation. The integration of renewable energy, electrification, and large new loads such as data centers is challenging traditional deterministic approaches to network studies.
In this webinar, we present a probabilistic power flow workflow that supports planners and engineers in assessing network performance under uncertainty. The session will walk through how to move from static planning cases to scenario-based analysis, allowing for a more comprehensive understanding of constraint violations, risk exposure, and system behavior across a wide range of operating conditions.
Attendees will see how a scalable workflow implemented using MATLAB and MATPOWER can support planning activities such as network reinforcement, interconnection studies, and operational preparedness. The focus will be on structuring data, defining uncertainty models, running large-scale studies, and extracting actionable insights for decision-making. The use of Agentic AI in supporting such studies will also be considered.
Highlights
- Move beyond deterministic studies to risk-informed power system planning under uncertainty
- Assess the impact of renewable variability, electrification, and large new loads such as data centers
- Explore a practical probabilistic power flow workflow from data preparation to decision-making
- Gain insights into scalable approaches for running large numbers of power flow simulations efficiently
- Support more transparent and defensible planning decisions using probabilistic results
- Increase workflow efficiency using Agentic AI
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenter
Dr. Graham Dudgeon is senior principal technologist for electrical systems at MathWorks, focusing on applications and workflows that are conducted at all stages of electrical technology development and operation. Graham has been at MathWorks for 21 years and supports several industries in the electrical technology area, including aerospace, marine, automotive, industrial automation, and power and utilities. Prior to joining MathWorks, Graham was senior research fellow at the Rolls-Royce University Technology Centre in Electrical Power Systems at the University of Strathclyde in Scotland, UK. He holds an M.Eng. and a Ph.D. from the University of Glasgow.
