Modeling Approaches for Power Distribution Grid Planning
Tues, May 12, 2026 | 9am PT Youtube Stream
Hi all,
The presentation will be via Meet and all questions will be addressed there. If you cannot attend live, the event will be recorded and can be found afterward at
https://sites.google.com/modelingtalks.org/entry/modeling-approaches-for-power-distribution-grid-planning
More information on previous and future talks: https://sites.google.com/modelingtalks.org/entry/home
Abstract:
Electric power distribution grid infrastructure accounts for the largest share of electric utility capital expenditure, directly impacting consumer electric bills. These high infrastructure costs are driven by electrification of other sectors, such as electric vehicles (EVs) and heat pumps, and by the growing penetration of distributed energy resources, such as solar PV. They are also driven by the need to prepare grid infrastructure for an increasing number of extreme events, whose nature is uncertain and whose impacts can lead to major power outages. This talk will cover core modeling techniques to plan distribution grid capacity infrastructure, including the representation of grid technical constraints in economic problems, as well as methods to deal with uncertainty in the context of reliability and resilience planning decisions. Bio:
Miguel Heleno is a Staff Scientist at Lawrence Berkeley National Laboratory, where he manages power systems research within the DOE Office of Electricity programs. He is a Senior Member of the IEEE and an Associate Editor of the IEEE Transactions on Energy Markets, Policy and Regulation. He holds an MSc in Electrical Engineering and Computer Science and a PhD in Sustainable Energy Systems from the University of Porto through the MIT Portugal Program. Miguel has more than 15 years of experience in energy systems research and innovation, in Europe and the United States, focusing on grid optimization and planning, power systems economics, and energy policy. | 
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