AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (3 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Constructing an Energy Function for Power Systems with DFIGWT Generation Based on a Synchronous-generator-mimicking Model

Yang LiuChenying XuZehui LinKaishun XiahouQ. H. Wu( )
School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Show Author Information

Abstract

In this paper we construct an energy function for multi-machine power systems with doubly-fed induction generator-based wind turbine (DFIGWT) according to a synchronous-generator-mimicking (SGM) model of the DFIGWT. An SGM model is proposed to approximate the dynamics of a DFIGWT. Similar to the modelling of a synchronous generator (SG), the internal dynamics of a DFIGWT are also described with differential equations of newly constructed virtual rotor angle and internal electromotive force (EMF) in the SGM model. Moreover, the power flow of a DFIGWT is expressed by nonlinear functions of its virtual rotor angle and internal EMF. The SGM model bridges the gap between the irregular and complex modelling of DFIGWTs and the well-developed energy function construction techniques for SG models. Based on the SGM model, a numerical energy function is constructed for power systems with DFIGWT generation. Both theoretical analysis and numerical studies were undertaken to validate that the proposed energy function satisfies the necessary conditions for an energy function of a power system.

References

[1]
D. Gautam, V. Vittal, and T. Harbour, “Impact of increased penetration of DFIG-based wind turbine generators on transient and small signal stability of power systems,”IEEE Transactions on Power Systems, vol. 24, no. 3, pp. 14261434, Aug. 2009.
[2]
I. Xyngi, A. Ishchenko, M. Popov, and L. van der Sluis, “Transient stability analysis of a distribution network with distributed generators,”IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 11021104, May 2009.
[3]
M. Tajdinian, A. R. Seifi, and M. Allahbakhshi, “Sensitivity-based approach for real-time evaluation of transient stability of wind turbines interconnected to power grids,”IET Renewable Power Generation, vol. 12, no. 6, pp. 668679, Apr. 2018.
[4]
M. V. A. Nunes, J. A. P. Lopes, H. H. Zurn, U. H. Bezerra, and R. G. Almeida, “Influence of the variable-speed wind generators in transient stability margin of the conventional generators integrated in electrical grids,”IEEE Transactions on Energy Conversion, vol. 19, no. 4, pp. 692701, Dec. 2004.
[5]
Y. Liu, L. Jiang, Q. H. Wu, and X. X. Zhou, “Frequency control of DFIG-based wind power penetrated power systems using switching angle controller and AGC,”IEEE Transactions on Power Systems, vol. 32, no. 2, pp. 15531567, Mar. 2017.
[6]
J. Mitra and M. Benidris, “A homotopy-based method for robust computation of controlling unstable equilibrium points,”IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 14221431, Mar. 2020.
[7]
H. D. Chiang, F. F. Wu, and P. P. Varaiya, “Foundations of the potential energy boundary surface method for power system transient stability analysis,”IEEE Transactions on Circuits and Systems, vol. 35, no. 6, pp. 712728, Jun. 1988.
[8]
H. D. Chiang, Direct Methods for Stability Analysis of Electric Power Systems: Theoretical Foundation, BCU Methodologies, and Applications. Hoboken, New Jersey: John Wiley & Sons, 2011.
[9]
K. Q. Hua, Y. Mishra, and G. Ledwich, “Fast unscented transformation-based transient stability margin estimation incorporating uncertainty of wind generation,”IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 12541262, Oct. 2015.
[10]
A. A. A. Fouad, V. Vittal, Y. X. Ni, H. R. Pota, K. Nodehi, H. M. Zein-Eldin, E. Vasahedi, and J. Kim, “Direct transient stability assessment with excitation control,”IEEE Transactions on Power Systems, vol. 4, no. 1, pp. 7582, Feb. 1989.
[11]
A. van der Schaft, L2-Gain and Passivity Techniques in Nonlinear Control. London: Springer-Verlag, 2000.
[12]
T. S. L. V. Ayyarao, “Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control,”Protection and Control of Modern Power Systems, vol. 4, no. 1, pp. 4, Feb. 2019.
[13]
M. Pai, Energy Function Analysis for Power System Stability. US: Springer, 1989.
[14]
C. C. Chu and H. D. Chiang, “Constructing analytical energy functions for lossless network-reduction power system models: Framework and new developments,”Circuits, Systems and Signal Processing, vol. 18, no. 1, pp. 116, Jan. 1999.
[15]
N. Q. Jiang and H. D. Chiang, “Energy function for power system with detailed DC model: Construction and analysis,”IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 37563764, Nov. 2013.
[16]
Y. H. Moon, B. H. Cho, Y. H. Lee, and H. J. Kook, “Derivation of energy conservation law by complex line integral for the direct energy method of power system stability,”in Proceedings of the 38th IEEE Conference on Decision & Control, 1999, pp. 46624667.
[17]
Y. H. Moon, B. H. Cho, Y. H. Lee, and H. S. Hong, “Energy conservation law and its application for the direct energy method of power system stability,”in IEEE Power Engineering Society. 1999 Winter Meeting, 1999, pp. 695700.
[18]
S. Ghosh and S. Kamalasadan, “An energy function-based optimal control strategy for output stabilization of integrated DFIG-flywheel energy storage system,”IEEE Transactions on Smart Grid, vol. 8, no. 4, pp. 19221931, Jul. 2017.
[19]
Y. Liu, Q. H. Wu, and X. X. Zhou, “Co-ordinated multiloop switching control of DFIG for resilience enhancement of wind power penetrated power systems,”IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 10891099, Jul. 2016.
[20]
Y. Z. Lei, A. Mullane, G. Lightbody, and R. Yacamini, “Modeling of the wind turbine with a doubly fed induction generator for grid integration studies,”IEEE Transactions on Energy Conversion, vol. 21, no. 1, pp. 257264, Mar. 2006.
[21]
J. B. Hu and Y. K. He, “Modeling and enhanced control of DFIG under unbalanced grid voltage conditions,”Electric Power Systems Research, vol. 79, no. 2, pp. 273281, Feb. 2009.
[22]
Y. Liu, K. S. Xiahou, X. Lin, and Q. H. Wu, “Switching fault ride-through of GSCs via observer-based Bang-Bang funnel control,”IEEE Transactions on Industrial Electronics, vol. 66, no. 9, pp. 74427446, Sep. 2019.
[23]
F. Díaz-González, M. Hau, A. Sumper, and O. Gomis-Bellmunt, “Participation of wind power plants in system frequency control: Review of grid code requirements and control methods,”Renewable and Sustainable Energy Reviews, vol. 34, pp. 551564, Jun. 2014.
[24]
W. Q. Y. Tang, J. B. Hu, Y. Z. Chang, and F. Liu, “Modeling of DFIG-based wind turbine for power system transient response analysis in rotor speed control timescale,”IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 67956805, Nov. 2018.
[25]
M. F. Firuzi, A. Roosta, and M. Gitizadeh, “Stability analysis and decentralized control of inverter-based ac microgrid,”Protection and Control of Modern Power Systems, vol. 4, no. 1, pp. 6, Mar. 2019.
[26]
Q. C. Zhong and G. Weiss, “Synchronverters: Inverters that mimic synchronous generators,”IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 12591267, Apr. 2011.
[27]
C. M. Ong, Dynamic Simulation of Electric Machinery. Upper Saddle River, NJ, USA: Prentice-Hall Inc., 1998.
[28]
Y. Z. Chang, J. B. Hu, W. Q. Y. Tang, and G. B. Song, “Fault current analysis of type-3 WTs considering sequential switching of internal control and protection circuits in multi time scales during LVRT,”IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 68946903, Nov. 2018.
[29]
Y. Liu, Z. H. Lin, K. S. Xiahou, M. S. Li, and Q. H. Wu, “On the state-dependent switched energy functions of DFIG-based wind power generation systems,”CSEE Journal of Power and Energy Systems, vol. 6, no. 2, pp. 318328, Jun. 2020.
CSEE Journal of Power and Energy Systems
Pages 64-75
Cite this article:
Liu Y, Xu C, Lin Z, et al. Constructing an Energy Function for Power Systems with DFIGWT Generation Based on a Synchronous-generator-mimicking Model. CSEE Journal of Power and Energy Systems, 2022, 8(1): 64-75. https://doi.org/10.17775/CSEEJPES.2020.03420

678

Views

19

Downloads

1

Crossref

9

Web of Science

11

Scopus

1

CSCD

Altmetrics

Received: 19 July 2020
Revised: 08 December 2020
Accepted: 24 December 2020
Published: 30 April 2021
© 2020 CSEE
Return