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Modeling and small-signal stability analysis of doubly-fed induction generator integrated system

2023-11-17

Modeling and small-signal stability analysis of doubly-fed induction generator integrated system

双馈风机并网系统建模及小信号稳定性分析

Tianming Gu^1,2, Puyu Wang^1,2, Dingyuan Liu², Ao Sun², Dejian Yang¹, Gangui Yan¹

1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education (Northeast Electric Power University), Jilin, 132012, P. R. China

2. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu Province, P. R. China

Abstract

Owing to their stability, doubly-fed induction generator (DFIG) integrated systems have gained considerable interest and are the most widely implemented type of wind turbines and due to the increasing escalation of the wind generation penetration rate in power systems. In this study, we investigate a DFIG integrated system comprising four modules: (1) a wind turbine that considers the maximum power point tracking and pitch-angle control, (2) induction generator, (3) rotor/grid-side converter with the corresponding control strategy, and (4) AC power grid. The detailed small-signal modeling of the entire system is performed by linearizing the dynamic characteristic equation at the steady-state value. Furthermore,a dichotomy method is proposed based on the maximum eigenvalue real part function to obtain the critical value of the parameters. Root-locus analysis is employed to analyze the impact of changes in the phase-locked loop, short-circuit ratio,and blade inertia on the system stability. Lastly, the accuracy of the small-signal model and the real and imaginary parts of the calculated dominant poles in the theoretical analysis are verified using PSCAD/EMTDC.

Keywords

Doubly-fed induction generator (DFIG); Maximum power point tracking; Dichotomy; Small-signal stability

Fig. 1 Topology of the DFIG integrated system

Fig. 2 Equivalent circuit of the DFIG integrated system

Fig. 3 Control strategy of RSC and PLL

Fig. 4 Control strategy of GSC

Fig. 5 Dynamic response of Case 1

Fig. 6 Dynamic response of Case 2

Fig. 7 Flow chart of dichotomy to obtain critical value of parameter

Fig. 8 Root locus of the system when K_pPLL steps (SCR = 4, V_w = 8 m/s)

Fig. 9 Eigenvalues of the system when K_pPLL = 2

Fig. 10 Dynamic response of the system when K_pPLL steps (SCR = 4, V_w = 8 m/s)

Fig. 11 Root locus of the system when K_pPLL steps (SCR = 4, V_w = 8 m/s)

Fig. 12 Root locus of the system when K_pPLL changes (SCR = 2, V_w = 8 m/s)

Fig. 13 Dynamic response of the system when K_pPLLsteps (SCR = 4, V_w = 8 m/s)

Fig. 14 Root locus of the system when J changes

Fig. 15 Dynamic response of the system when J steps

本文引文信息

Gu TM, Wang PY, Liu DY, et al. (2023) Modeling and small-signal stability analysis of doubly-fed induction generator integrated system, Global Energy Interconnection, 6(4): 438-449

顾天明，王谱宇，刘丁源等 (2023) 双馈风机并网系统建模及小信号稳定性分析. 全球能源互联网（英文）, 6(4): 438-449

Biographies

Tianming Gu

received the B.Eng. degree from Nanjing University of Science and Technology(NUST), China in 2020, both in electrical engineering. He is currently pursuing the Ph.D.degree at the same university. His research interests include stability analysis and control of the power electronics applications in power systems and renewable energy integration.

Puyu Wang

(S’13–M’15) is currently an Associate Professor in Department of Electrical Engineering, School of Automation at Nanjing University of Science & Technology (NUST),China. His research interests include control and protection of synchronous condenser,HVDC technology, DC–DC converters, grid integration of renewable energy, and power electronics applications in power systems.

Dingyuan Liu

received the B.Eng. and M.Sc.degrees from Nanjing University of Science and Technology (NUST), China in 2020 and 2023,respectively, both in electrical engineering. His research interests include stability analysis and control of the power electronics applications in power systems and renewable energy integration.

Ao Sun

received the B.Eng. degree from Nanjing University of Science and Technology (NUST),China in 2023, in electrical engineering. He is currently pursing the M.Sc. degree at the same university. His research interests include stability analysis and control of the power electronics applications in power systems and renewable energy integration.

Dejian Yang

(S’15–M’20 ) is currently a Lecturer with the School of Electrical Engineering, Northeast Electric Power University, Jilin City, China. His research interest is in the development of control systems for renewable energy sources.

Gangui Yan

is the Professor with Northeast Electric Power University, Jilin City, China.His research interests include power electronic,power system, wind power generation, steadystate operation analysis, and power electronic technology.

编辑：王彦博

审核：王伟

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