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Jones Seminar: Distributed Energy Resources Under Net Energy Metering—Optimal decisions and adoption dynamics
Jan
31
Friday
3:30pm - 4:30pm ET
Spanos Auditorium/Online
Optional ZOOM LINK
Meeting ID: 962 3557 9087
Passcode: 651327
The co-optimizaion of behind-the-meter distributed energy resources (DER) is considered for prosumers under the net energy metering (NEM) tariff. The DERs considered include renewable generations, flexible demands, and battery energy storage systems. The first part of the talk presents a novel energy management system which co-optimizes the consumptions and battery storage based on locally available stochastic renewables by solving a stochastic dynamic program that maximizes the expected operation surplus. To circumvent the exponential complexity of the dynamic program solution, we propose a closed-form and linear computation complexity co-optimization algorithm based on a relaxation-projection approach to a constrained stochastic dynamic program. Sufficient conditions for optimality for the proposed solution are obtained. Numerical studies demonstrate orders of magnitude reduction of computation costs and significantly reduced optimality gap.
The second part of the talk leverages the optimal schedules of customers to examine the effect of various NEM implementations on the adoption dynamics of renewable energy sources.
Co-hosted by Professors Cong Chen and Geoffrey Parker.
About the Speaker(s)
Ahmed Alahmed
Postdoctoral Fellow, MIT
Ahmed Alahmed received his PhD in electrical and computer engineering from Cornell University in 2024. He previously completed his BSc and MSc in electrical and computer engineering at King Fahd University of Petroleum and Minerals in 2016 and 2019, respectively. Ahmed has conducted advanced research as a PhD intern at leading institutions, including the National Renewable Energy Laboratory, the Electric Power Research Institute, and The BraMle Group. He is the recipient of three best paper awards and was honored with the MiSK Fellowship in 2022, which led to his nomination as a member of the Saudi Leadership Society. In 2024, Ahmed won the Ibn Rushd Postdoctoral Fellowship to conduct research at the Massachusetts Institute of Technology.
Ahmed's research focuses on the control and optimization of energy systems, DER aggregation and adoption dynamics, and mechanisms design for transactive energy systems.
Contact
For more information, contact Amos Johnson at amos.l.johnson@dartmouth.edu.