Artificial Neural Network for Volt/Var Control of Smart Inverters at Grid Edge - Research & Economic Development - The University of Alabama

Artificial Neural Network for Volt/Var Control of Smart Inverters at Grid Edge

The Problem:

As more homes are fitted with solar panels or other renewable energy sources, the network of Distributed Energy Resources (DER) becomes large and more complex. Due to irregularities in the power supplied by these resources, the power grid needs a mechanism to ensure it is always producing a voltage within a pre-specified range.

The Solution:

Researchers at The University of Alabama have developed a technology where the voltage supplied by the invented system is monitored by an artificial neural network which controls smart inverters and banks of capacitors. The artificial neural network recognizes when voltage is rising or dropping outside a pre-specified range and makes appropriate changes to regulate the voltage supplied to the energy consumers. This control ensures that the voltage the grid provides is always within the correct operating range.

Solar panels on the roofs of homes
Cap Solar panels on the roofs of homes

 

 

 

 

 

 

 

 

 

 

Benefits:

• Makes distributed energy resources much more efficient.
• Enhances grid reliability.
• Aids in distributed energy resource implementation.

VIEW PATENT INFORMATION HERE


The University of Alabama Research Office of Innovation and Commercialization (OIC) is a non-profit corporation that is responsible for commercializing University of Alabama technologies and for supporting University research. At OIC, we seek parties that are interested in learning more about our technologies and commercialization opportunities, and we welcome any inquiries you may have.

Patent Information:

Title App Type Country Patent No. File Date Issued Date Patent Status
Artificial Neural Networks Control System for Autonomous Volt/Var Control of Inverter Interfaced Units Utility United States 11,415,950 8/22/2019 8/16/2022 Issued

For Information, Contact:

Lynnette Scales
Administrative Assistant
The University of Alabama
(205) 348-5433
liscales@ua.edu

Inventors:

Shuhui Li
Malek Ramezani
Yang Xiao
Keywords: