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Energy, Power, Control and Networks (EPCN)

Status: Archived

Archived funding opportunity

This document has been archived.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Synopsis

Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation as well as risk management in the presence of uncertainty, sub-system failures and stochastic disturbances. EPCN also invests in adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest include energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.

Proposals for the EPCN program may involve collaborative research to capture the breadth of expertise needed for such multidisciplinary integrative activities. ECCS will consider supporting a limited number of small team proposals of three or more Investigators from different disciplines and/or universities.

Areas covered by the EPCN Group (Abed, Baheti, and Werbos):

  • Control Theory and Hybrid Dynamical Systems
  • Networked Multi-agent Systems
  • Cyber Physical Systems Modeling and Control
  • System Theory for Biology and Medicine; Modeling of the Brain
  • Control and Optimization in Buildings, Transportation, and Robotics
  • Adaptive and Intelligent Systems; Neural Networks
  • Energy Harvesting, Storage Devices and Systems
  • Solar and Wind Energy and Integration of Renewables with Grid
  • Monitoring, Protection and Cyber Security of Power Grid
  • Advanced Power Electronics and Electric Machines
  • Electric and Hybrid Vehicles; Integration with Grid
  • Policy, Economics, Consumer Behavior and the Power Grid
  • Quantum, Molecular and High Performance Modeling and Simulation for Devices and Systems (QMHP) (Paul Werbos)

Program contacts

Eyad Abed
eabed@nsf.gov (703) 292-8339 ENG/ECCS
Radhakishan Baheti
Program Director
rbaheti@nsf.gov (703) 292-8339

Awards made through this program

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