SBIR/STTR Research Award

Modular Smart Micro/Nano-Grid Power Management System

Award identifier 371b6d46dacf9ca3d427dbaca33a44641d346256b96c767dc3e2208ba2f1afdeAwarding agency Department of Defense · Navy

Award amount

$149,865

Program and phase

SBIR · Phase I

Award year

2016

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Intelligent Power & Energy Research Corp
Proposal award date
2016-02-08
Contract end date
2017-02-07
UEI
P2AZQE2CLM32
Solicitation number
2015.2
Topic code
N152-098

Research abstract

While the concept of a microgrid may seem straightforward, the actual implementation of the hardware and controls can be complex and difficult to integrate with the available equipment. Of particular annoyance is the vast set of contingencies that must be accounted for to ensure the controller operates safely in the event of equipment or device communication failures.The development of control algorithms, contingency handling, and human-machine interface can consume surprisingly large amounts of time and human resources. The costs associated with control algorithms can dwarf the cost of the control hardware installation.Faced with these issues, we propose the design and development of a system that would automate the creation of the control system for microgrids. This system would generate a set of rules and algorithm templates that can be used by a commercially available microgrid controller. These templates are based on the equipment identified by the controller during the initial system commissioning. In effect, the controller would be overlaid on top of the microgrid equipment (switchgear, generators, and other hardware) and would, with minimal user input, identify and implement the salient routines that initiate microgrid mode (and return to grid-tied mode) when appropriate. The system would also be capable of setting up the framework to offer any potential ancillary services to the local utility, thus providing an additional revenue stream to the facility operator. The automated process would execute a large number of routines designed to handle the various operational contingencies anticipated with the installed equipment, while forming a user-modifiable GUI that acts as the human-machine interface.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

9 SBIR/STTR records share this UEI (2006–2016). Reported award amounts total $4,365,837. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.