Event Title
Small Signal Model Averaging of Bi-Directional Converter
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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
Recommended Citation
Ahn, B. (2018). Small Signal Model Averaging of Bi-Directional Converter. Presented at the 2018 Graduate Online Symposium, Mankato, MN. https://cornerstone.lib.mnsu.edu/gos/2018/presentations/1/
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Slides
Ahn_BoHyun_Transcript.pdf (95 kB)
Transcript
Ahn_BoHyun_Photo.jpg (160 kB)
Professional Photo
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.
