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Cited 4 time in webofscience Cited 4 time in scopus
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Impedance-Based Modeling and Common Bus Stability Enhancement Control Algorithm in DC Microgridopen access

Authors
Lee, Jae-SukLee, Gi-YoungPark, Su-SeongKim, Rae-Young
Issue Date
Dec-2020
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Stability criteria; Power system stability; Microgrids; Impedance; Power harmonic filters; Mathematical model; Transfer functions; DC microgrid; impedance modeling; Middlebrook& apos; s stability criterion; stability analysis
Citation
IEEE ACCESS, v.8, pp.211224 - 211234
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
8
Start Page
211224
End Page
211234
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144202
DOI
10.1109/ACCESS.2020.3039636
ISSN
2169-3536
Abstract
In this paper, impedance modeling of a DC microgrid system consisting of a source and load converter, including an input filter, is performed. Impedance-based modeling has been used to derive mathematical models of the output impedance of the source converter and the input impedance of the load converter. The correlation between the converter interaction and system stability is analyzed based on the mathematical model. An impedance-based stability analysis is used to determine the system stability by analyzing the interactions among the converters in the DC microgrid system. Middlebrook's stability criterion, which uses the impedance transfer function, is applied to determine system stability. Moreover, in this paper, a stability enhancement control algorithm is proposed to resolve the system instabilities resulting from interaction among the converters and the distortion caused by the harmonics emanating from the AC input. The proposed stability enhancement control algorithm consists of a feed-forward type virtual impedance (VI) and a proportional-resonant (PR) controller. The validity of the proposed method is demonstrated by the results of the response characteristics in the frequency domain, and the effectiveness of the proposed control algorithm is verified via simulations and prototype experimental models.
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