Project Grant 2318612

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $150K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Clemson, SC 29634, USA
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This Project Grant award of $150,000 from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports the development of advanced artificial intelligence and machine learning algorithms to optimize the management of electric vehicle transactions with the power grid.

The key products and services to be delivered under this award include:

  1. A hierarchical forecasting framework using cellular computational networks to predict electric vehicle charging (grid-to-vehicle) and discharging (vehicle-to-grid) potential transactions.
  2. A scalable hierarchical demand response architecture to efficiently manage electric vehicle interactions with the power system.
  3. An adaptive critic design approach leveraging approximate dynamic programming and reinforcement learning to utilize electric vehicle battery systems for optimal reactive power compensation and voltage control on the distribution grid.

This research aims to address challenges around electric vehicle adoption by developing intelligent systems to accommodate high electrical demand and reduce barriers to affordability. The award commences on Oct 1, 2023 and runs through Sep 30, 2026. No subawards are planned under this grant.

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