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Stability-Oriented Droop Coefficients Region Identification for Inverters Within Weak Grid: An Impedance-Based Approach

Lookup NU author(s): Dr Jianfang Xiao

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Abstract

The high penetration of renewable energy sources always leads to the fluctuation of the droop coefficients which are designed in inverse proportion to their rated capacity, and power electronics devices are prone to static instability. Although the impedance-based approaches have been widely studied to deal with this problem, the stability-oriented droop coefficients region identification due to the fluctuation of renewable energy sources is not provided. Thus, this article proposes an impedance-based approach to assess the droop coefficients stability region in the power system consisting of numerous distributed generators (DGs). First, the modified phase margin and opposing argument (MPMOA) forbidden criterion is constituted to acquire the complementary space of the droop coefficients stability region. The MPMOA forbidden criterion is first transformed into the condition that the generalized return-ratio matrix is Hurwitz through mirror, rotation, and translation mapping. In comparison with the previous simplified stability criteria, the conservatism of the proposed criterion is reduced a lot. Thereafter, the droop coefficients stability region is directly calculated by the generalized return-ratio matrix and guardian map theory. Eventually, the simulation and experimental results are provided to validate the conservatism and effectiveness of the impedance-based stability region identification approach. Therein, the simulation results illustrate that the proposed droop coefficients stability operation criterion has lower conservatism than these of the previous simplified stability criteria. Furthermore, the simulation and experimental results illustrate that the proposed stability-oriented droop coefficients region identification approach can provide an effective parameter stability region.

Publication metadata

Author(s): Wang R, Sun Q, Hu W, Xiao J, Zhang H, Wang P

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year: 2021

Volume: 51

Issue: 4

Pages: 2258-2268

Print publication date: 01/04/2021

Online publication date: 17/11/2020

Acceptance date: 24/10/2020

ISSN (print): 2168-2216

ISSN (electronic): 2168-2232

Publisher: IEEE

URL: https://doi.org/10.1109/TSMC.2020.3034243

DOI: 10.1109/TSMC.2020.3034243

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