Energy, Power, Control, and Networks

Post Date

April 25th 2016

Application Due Date

November 1st 2016

ECCS REU/RET Supplements; ECCS Submission Window

Funding Opportunity Number

PD-16-7607

CFDA Number(s)

47.041

Funding Instrument Type(s)

Grant

Funding Activity Categories

Science and Technology and other Research and Development

Eligibility Categories

Unrestricted

Funding

• Award Range:

  $None - $None

Grant Description

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 andNetworks (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 also include systems analysis and design for 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 Khaligh):

• 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 Electric Vehicles
• Innovative Grid-tied Power Electronic Converters
• Policy, Economics, Consumer Behavior and the Power Grid

Contact Information

• Agency

  National Science Foundation

• Office:

  None

• Agency Contact:

  NSF grants.gov support
  grantsgovsupport@nsf.gov
  

• Agency Mailing Address:

  If you have any problems linking to this funding announcement, please contact

• Agency Email Address:

  grantsgovsupport@nsf.gov

• More Information:

  NSF Program Desccription PD-16-7607