TechConnect Innovation Program

Neural Net Grid Control

University of Alabama, AL, United States

TECHNOLOGY SUMMARY

The innovation consists of artificial neural network vector control technology for control of power electronic converters for a large number of application areas, including renewables, microgrids, high-voltage dc transmission, and smart grids, to significantly improve overall system reliability, enhance volt-var management, and reduce harmonics and converter switching frequency.

Primary Application Area: Energy & Efficiency

Technology Development Status: Prototype

Technology Readiness Level: TRL 3

FIGURES OF MERIT

Value Proposition: Our innovation will overcome the deficiencies of conventional standard vector controllers. Technically, our technology would result in optimal controller and best performance for grid integration of renewable resources and for operation and management of electric power systems.

SHOWCASE SUMMARY

Organization Type: Early-stage Startup (Seed)

Showcase Booth #: 23T

Website: www.ua.edu

GOVT/EXTERNAL FUNDING SOURCES

Government Funding/Support to Date: National Science Foundation
Directorate for Engineering
Division of Industrial Innovation and Partnerships
Award amount: $199,900
Award year: 2014
Award duration: 18 months

Primary Sources of Funding: Federal Grant, University

Looking for: Both Funding and Development Partners