SBIR/STTR Research Award

Power System Supervision Software for Reconfiguration and Damage Mitigation

Award identifier 0f7cb5bcf836eab3a7563a7891e6771bfa159b599ff71762813b7b237003ecdcAwarding agency Department of Defense · Navy

Award amount

$600,000

Program and phase

SBIR · Phase II

Award year

2009

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
TECHNO-SCIENCES, LLC
Proposal award date
2009-06-02
Contract end date
2011-06-24
UEI
W6HLW81GNLZ5
Solicitation number
2006.3
Topic code
N06-177

Research abstract

The objective of this project is to design, implement and evaluate Next Generation Integrated Power System supervision algorithms that will support reconfiguration and damage mitigation by exploiting recent advances in hybrid systems control theory. The integrated electric power system is a cornerstone of the future naval combat ships. The future surface combatant family, including the DDG 1000 destroyer and the CG(X) cruisers, is planned to have integrated power systems. This new fleet of all-electric warships has power and automation requirements different from the combatants of the past. Analysis of the behavior of the power system requires consideration of the differential-algebraic equations that describe its continuous dynamics along with discrete switching actions that characterize protection system operation, load shedding and network reconfiguration. Thus, the management problem must be formulated in a hybrid systems framework in order to truly have a complete system description. The controllers that we propose will supervise the integrated power system to reconfigure a ship’s power network following the occurrence of disruptive events and will provide other supervisory capabilities during battle conditions. The supervisory controller will be a high level tool that is capable of integrating inputs from prognostic/diagnostic systems, local protection systems, and lower level controllers. The project will produce associated design software that will include tools for real-time implementation and integration into shipboard power system control architectures. In our Phase I work, the validity of the approach was demonstrated in prototype software using appropriate benchmark scenarios based on the notional integrated power system that is derived from the DDG-1000 Zumwalt, the lead ship of the DD(X) guided missile destroyers. However, we emphasize the wide applicability of the supervisory control architecture and the design software to a range of defense, commercial and academic end users. The Phase II effort will be particularly attractive for the next generation of all-electric Navy ships. The software will be modular and easily extensible to accommodate the requirements of supervision and reconfiguration of such power systems.

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

118 SBIR/STTR records share this UEI (1987–2013). Reported award amounts total $29,039,776. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy, Department of Health and Human Services, Department of Homeland Security

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.