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Optimal Integrated Control of Grid-Connected PV Generation and On-site Load

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-SC0015936
Agency Tracking Number: 0000224328
Amount: $149,881.36
Phase: Phase I
Program: STTR
Solicitation Topic Code: 13
Solicitation Number: DE-FOA-0001417
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-06-13
Award End Date (Contract End Date): 2017-03-12
Small Business Information
1736 West Paul Dirac Drive
Tallahassee, FL 32310-3747
United States
DUNS: 079997741
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Rick Meeker
 (850) 385-5100
 rmeeker@nhuenergy.com
Business Contact
 Rick Meeker
Phone: (850) 385-5100
Email: rmeeker@nhuenergy.com
Research Institution
 Florida State University
 Wagner
 
874 Traditions Way 874 Traditions Way
Tallahassee, FL 32306-4166
United States

 (850) 644-5260
 Nonprofit College or University
Abstract

Maximizing the value proposition for solar and distributed energy resources to consumers requires a
more integrated and coordinated approach to utilizing these resources on-site. Commercial solutions
are not yet widely available to provide optimal use of combined on-site resources locally, while at the
same time optimizing their value to the electric power distribution system as well. Solutions still tend to
be very customized and follow very traditional approaches to controlling resources that are very suboptimal.
Further, there is little or no coordination at all with the electric utility as this is very much an
emerging area. Approaches used in other fields such as the process industries and aerospace provide
powerful techniques for multivariable control problems such as the coordination and optimal control
and dispatch of multiple distributed energy resources.
In Phase I, the Developing Optimal Control Technology for Distributed Energy Resources (DOCTdER)
project will formulate local and grid-connected distributed energy resource integration and coordination
as an optimal control problem, develop a generalizable, scalable framework and architecture and design
to accommodate multiple DER, and develop in simulation a pilot of this for the limited case of solar PV
generation and building loads, and test it for performance improvement potential.
This would be a completely new approach compared to what is currently available by the major
suppliers to the industry in Distribution Management Systems (DMS) and other products on the utility
side, and completely new compared to existing products on the building control and smart buildings
side, and, therefore, would have significant potential commercial application licensed as part of
integrated solutions by others or fully developed into an integrated solution that can be productized.
Key Words: Distributed Energy Resources, Optimal Control, Solar PV and Load Integration
Synopsis: The Nhu Energy team will develop breakthrough control technology to drastically improve the
value proposition for distributed energy resources such as solar PV, storage, electric vehicles, and priceresponsive
load, to enable significant improvements to electric power system resiliency, economics, and
environmental impact.

* Information listed above is at the time of submission. *

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