Impedance-Based Modeling and Common Bus Stability Enhancement Control Algorithm in DC Microgridopen access
- Authors
- Lee, Jae-Suk; Lee, Gi-Young; Park, Su-Seong; Kim, 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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