This National Science Foundation (NSF) Project Grant from the Computer and Information Science and Engineering (CFDA 47.070) program provides $300,000 over 3 years to CAL Poly Pomona Foundation Inc., a nonprofit organization supporting California State Polytechnic University, Pomona. The project aims to develop advanced artificial intelligence and machine learning algorithms for optimal management of electric vehicle transactions with the power grid. Key deliverables include:
A scalable, distributed forecasting framework to predict electric vehicle charging and discharging potential.
A hierarchical demand response architecture to enable distributed optimization of electric vehicle charging to reduce grid impacts.
An adaptive critic design approach leveraging electric vehicle batteries for reactive power compensation and voltage control on the distribution system.
This work supports the federal goal to transition to zero-emissions vehicles by 2030 and advances sustainable development and economic competitiveness. The project also engages underrepresented minority and female students in high-quality research.