Grid Voltage Estimation and Feedback Linearization based Control of a Three Phase Grid Connected Inverter under Unbalanced Grid Conditions with LCL Filter
Abstract
Voltage sensing in a three phase grid connected inverter is expensive and introduces vulnerability in the presence of faulty components. A feedback linearization based current control strategy independent of grid voltage sensor information is presented in this paper. Initially the current controller is tuned with the assumption of known grid voltage. Next, an internal model based grid voltage estimation technique is proposed to estimate the grid voltage by using the error of the grid current and known filter parameters. The estimated grid voltage from the proposed technique was utilized in feedback linearization based current control to achieve successful current control. The proposed method has been verified via computer simulations based on MATLAB R/Simulink R and PLECS R and the efficacy of the system was checked with various case studies.
Recommended Citation
V. Chowdhury and J. W. Kimball, "Grid Voltage Estimation and Feedback Linearization based Control of a Three Phase Grid Connected Inverter under Unbalanced Grid Conditions with LCL Filter," Proceedings of the 11th Annual Energy Conversion Congress and Exposition (2019, Baltimore, MD), pp. 2979 - 2984, Institute of Electrical and Electronics Engineers (IEEE), Oct 2019.
The definitive version is available at https://doi.org/10.1109/ECCE.2019.8912226
Meeting Name
11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 (2019: Sep. 29-Oct. 3, Baltimore, MD)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Center for Research in Energy and Environment (CREE)
Keywords and Phrases
Feedback Linearization (F L); Internal Model Principle (IM); LCL Filter; Three Phase Inverter
International Standard Book Number (ISBN)
978-172810395-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Oct 2019
Comments
This work is partially supported by National Science Foundation (NSF) award number 1610396.