Event Title

Small Signal Model Averaging of Bi-Directional Converter

Streaming Media

Document Type

Event

Professional Biography

BoHyun Ahn received the B.S. (2016) in Electrical Engineering and is currently working toward the M.S. degree in Electrical Engineering, both at Minnesota State University, Mankato. Since 2016, he has been a research assistant under Dr. Vincent Winstead, Ph.D., P.E., for a renewable energy project. His research interests are AC/DC, AC/AC, DC/DC power conversion using robust control theories.

Description

We consider the problem of modeling a bi-directional AC/DC converter using a small signal approach coupled with cycle averaging to simplify the model for use in digitized control. Small power sources (less than or equal to 1000W) tend to have more abrupt transient power flow due to the associated characteristic low inertia. This is prevalent in small wind turbine systems. In an effort to reduce the complexity of system control under fast power transients, we develop an averaged model which allows for more advanced controller design while keeping computations reasonable low. This effort is intended to complement related work in distributed generation power flow measurement and control suitable for emerging smart-grid and micro-grid systems. We also utilize a more accurate inductor model incorporating resistive effects for the converter power coupling device. Simulation results are provided demonstrating the capability of the model.

Keywords

converter, dual-active-bridge, bi-directional power, state-space

Degree

Master of Science (MS)

Department

Electrical and Computer Engineering and Technology

College

Science, Engineering and Technology

First Faculty Advisor's Name

Vincent Winstead

First Faculty Advisor's Department

Electrical and Computer Engineering and Technology

First Faculty Advisor's College

Science, Engineering and Technology

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Ahn_BoHyun_Slides.pdf (472 kB)
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Ahn_BoHyun_Transcript.pdf (95 kB)
Transcript

Ahn_BoHyun_Photo.jpg (160 kB)
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May 15th, 12:00 AM May 15th, 12:00 AM

Small Signal Model Averaging of Bi-Directional Converter

We consider the problem of modeling a bi-directional AC/DC converter using a small signal approach coupled with cycle averaging to simplify the model for use in digitized control. Small power sources (less than or equal to 1000W) tend to have more abrupt transient power flow due to the associated characteristic low inertia. This is prevalent in small wind turbine systems. In an effort to reduce the complexity of system control under fast power transients, we develop an averaged model which allows for more advanced controller design while keeping computations reasonable low. This effort is intended to complement related work in distributed generation power flow measurement and control suitable for emerging smart-grid and micro-grid systems. We also utilize a more accurate inductor model incorporating resistive effects for the converter power coupling device. Simulation results are provided demonstrating the capability of the model.