Probabilistic Evaluation of Electric Vehicles

When:
September 15, 2020 @ 6:30 pm – 8:00 pm America/New York Timezone
2020-09-15T18:30:00-04:00
2020-09-15T20:00:00-04:00
Where:
Online only via MS Teams; no in-person gathering

Power & Energy Society

Speaker: Gerhard Walker, PhD, Principal Engineer, Distribution Systems Planning, Eversource Energy

Electric vehicles posed challenges unlike any other distributed energy resource. Not only are they highly dependent on customer behavior, making their usage pattern difficult to forecast, they are also mobile, forcing electric distribution companies to account for them at more than one location. With a wide array of factors determining if, when, how, and how long the electric vehicle population charges, it is near impossible to determine a firm, and realistic, single case scenario. This presentation will explore the application of probabilistic planning methods in distribution planning on the example of electric vehicles to highlight how such methods can help to better understand system impacts of highly flexible customer assets. By looking at traveling patterns, vehicle types, charging options, and more, we will look at developing coincidence values for residential EV charging stations, key drivers on system impact, and possible, nontraditional, mitigation strategies

Biography: Dr. Walker is currently a principle engineer for System Planning at Eversource. Prior to his engagement at Eversource he was the Director of Product Management at Opus One Solutions developing an enterprise planning platform for probabilistic system modelling, prior to which he was the Director of Grid Solutions at GE Current and a Project Manager at Netze BW, one of Germany’s largest DSOs. He holds both a Masters and a PhD in Power Systems Engineering from the University of Stuttgart where his work focused on probabilistic system modelling

Microsoft Teams details: Join Microsoft Teams Meeting +1 917-768-2821 United States, New York City (Toll) Conference ID: 865 558 871#

Free and Open to the Public; RSVP is appreciated Visit the IEEE PES Boston Chapter website for further details click here:

If you have any questions, please contact Amsa (781-446-3676) or Risa (781-227-7999)