SBIR-STTR Award

Distributed Intelligent Agents for Decision Making at Local Distributed Energy Resource (DER) Levels
Award last edited on: 10/13/2005

Sponsored Program
SBIR
Awarding Agency
DOE
Total Award Amount
$843,607
Award Phase
2
Solicitation Topic Code
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Principal Investigator
David A Cohen

Company Information

Infotility Inc (AKA: Gridagents)

2060 Broadway Suite 320
Boulder, CO 80301
   (720) 210-1984
   N/A
   www.infotility.com
Location: Single
Congr. District: 02
County: Boulder

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2003
Phase I Amount
$100,000
This project will develop an adaptive, intelligent-agent-based information system to provide real-time, two-way communication and decision making between nodes in a distributed energy resources (DER) system. The design will consist of a collection of reusable intelligent agents that will interoperate within the many interfaces and devices on the power delivery infrastructure. The agents will provide not only analysis and response to electrical grid contingencies but also coordination with power electronics and grid protection schemes to enhance grid reliability. Phase I will assess key system issues (software user needs, intelligent agent structure, object-oriented design, overall software system architecture, data models, communications requirements, decision logic, analytics, and business rules development), resulting in a detailed software development plan. This plan will be used in Phase II to create a commercialized version of the software, which will be tested in a real environment with actual DER devices connected to a major U.S. electrical system. Commercial Applications and Other Benefits as described by awardee: The DER intelligent information system should provide a mechanism to increase grid reliability and grid stability; enhance the ability of security agencies to respond to emergencies and contingencies; and unify the requirements of energy end users, energy system operators, and energy providers

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2004
Phase II Amount
$743,607
This research involves the development of intelligent, smart software components, which run at distributed locations on the energy network, to improve the reliability, efficiency, security, and stability of the U.S. electrical transmission and distribution network. The development approach uses a novel approach with open standards and a Web Services architecture, which allows for interoperability among industry participants This project will develop an adaptive, intelligent-agent-based information system to provide real-time, two-way communication and decision making between nodes in a distributed energy resources (DER) system. The design will consist of a collection of reusable intelligent agents that will interoperate within the many interfaces and devices on the power delivery infrastructure. The agents will provide not only analysis and response to electrical grid contingencies but also coordination with power electronics and grid protection schemes to enhance grid reliability. In Phase I, several key design issues were investigated, including assessments of software user needs, intelligent agent structure, object-oriented design, overall software system architecture, data models and communications requirements, and decision logic, analytics, and business rules development. A detailed software plan (including a Software Requirements Document, a Software Specification Document, a Software Architecture Document, and a preliminary User Interface Document) was developed. In Phase II, a commercialized version of the software will be tested in a real environment with actual DER devices connected to a major U.S. electrical system. Commercial Applications and Other Benefits as described by awardee: The DER intelligent information system should provide a low cost, scalable, flexible mechanism to increase grid reliability and grid stability; enhance the ability of security agencies to respond to emergencies and contingencies; unify the requirements of energy end users, energy system operators, and energy providers; and enable micro-grids and aggregated DER participation into the energy infrastructure