Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
Traditional analytical approaches for stability assessment of inverter-based resources (IBRs), often requiring detailed knowledge of IBR internals, become impractical due to IBRs’ proprietary nature. Admittance measurements, relying on electromagnetic transient simulation or laboratory settings, are not only time-intensive but also operationally inflexible, since various non-linear control loops make IBRs’ admittance models operating-point dependent. Therefore, such admittance measurements must be performed repeatedly when operating point changes. To avoid time-consuming and cumbersome measurements, admittance estimation for arbitrary operating points is highly desirable. However, existing admittance estimation algorithms usually face challenges in versatility, data demands, and accuracy. Addressing this challenge, this letter presents a simple and efficient admittance estimation method for black-boxed IBRs, by utilizing a minimal set of seven operating points to solve a homogeneous linear equation system. Case studies demonstrate this proposed method ensures high accuracy across various types of IBRs. Estimation accuracy is satisfying even when non-negligible measurement errors exist.
N. Hatziargyriou, J. Milanovic, C. Rahmann, V. Ajjarapu, C. Canizares, I. Erlich, D. Hill, I. Hiskens, I. Kamwa, B. Pal, P. Pourbeik, J. Sanchez-Gasca, A. Stankovic, T. V. Cutsem, V. Vittal, and C. Vournas, “Definition and classification of power system stability–revisited & extended,” IEEE Transactions on Power Systems, vol. 36, no. 4, pp. 3271–3281, Jul. 2021.
Q.-H. Wu, A. Bose, C. Singh, J. H. Chow, G. Mu, Y. Z. Sun, Z. X. Liu, Z. G. Li, and Y. Liu, “Control and Stability of Large-scale Power System with Highly Distributed Renewable Energy Generation: Viewpoints from Six Aspects,” CSEE Journal of Power and Energy Systems, vol. 9, no. 1, pp. 8–14, Jan. 2023.
J. Sun, “Frequency-domain stability criteria for converter-based power systems,” IEEE Open Journal of Power Electronics, vol. 3, pp. 222–254, Mar. 2022.
L. S. Xiong, X. K. Liu, Y. H. Liu and F. Zhuo, “Modeling and Stability Issues of Voltage-source Converter-dominated Power Systems: A Review,” CSEE Journal of Power and Energy Systems, vol. 8, no. 6, pp. 1530–1549, Nov. 2022.
T. Roinila, H. Abdollahi, and E. Santi, “Frequency-domain identification based on pseudorandom sequences in analysis and control of DC power distribution systems: A review,” IEEE Transactions on Power Electronics, vol. 36, no. 4, pp. 3744–3756, Apr. 2021.
P. J. Zhong, J. J. Sun, Z. Tian, P. Yu, and X. M. Zha, “CDSC-based adaptive impedance measurement method for grid-tied inverter system under adverse grid voltage conditions,” IEEE Transactions on Industrial Electronics, vol. 69, no. 11, pp. 11210–11220, Nov. 2022.
W. H. Zhou, N. Mohammed, and B. Bahrani, “Comprehensive modeling, analysis, and comparison of state-space and admittance models of PLL-based grid-following inverters considering different outer control modes,” IEEE Access, vol. 10, pp. 30109–30146, Mar. 2022.
W. Liu, X. R. Xie, J. Shair, and X. Li, “A nearly decoupled admittance model for grid-tied VSCs under variable operating conditions,” IEEE Transactions on Power Electronics, vol. 35, no. 9, pp. 9380–9389, Sep. 2020.
Q. Qiu, Y. F. Huang, R. Ma, J. Kurths, and M. Zhan, “Black-box impedance prediction of grid-tied VSCs under variable operating conditions,” IEEE Access, vol. 10, pp. 1289–1304, Jan. 2022.
M. F. Zhang, X. F. Wang, D. S. Yang, and M. G. Christensen, “Artificial neural network based identification of multi-operating-point impedance model,” IEEE Transactions on Power Electronics, vol. 36, no. 2, pp. 1231–1235, Feb. 2021.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).