Quantitative Evaluation Method for Effective Support Capability of Wind Turbine Virtual Inertia

doi:10.16183/j.cnki.jsjtu.2024.479

Abstract

Abstract:

Virtual inertia provided by wind turbines can effectively improve the inertia level of power systems. However, the quantitative evaluation of the effective support capability of the virtual inertia of wind turbine needs further studies. Therefore, this paper proposes a quantitative evaluation method for the effective support capability of the virtual inertia of wind turbines. First, the system frequency response (SFR) model of a power system with wind turbines is developed, which is compared with the traditional SFR model of the power system to propose the concept of an inertia efficiency factor, and the mapping relationship between the virtual inertia of wind turbines and the inertia of synchronous machine is built from the perspective of frequency response index. Then, considering influencing factors such as control parameters and response delay of the virtual inertia of wind turbines, an expression of the inertia efficiency factor is derived, hence the evaluation formulation of the effective support capability of the virtual inertia of wind turbines is obtained. Finally, simulation results verify the effectiveness of the proposed method.

Key words: wind turbine generator system, virtual inertia, frequency response, support capability, inertia efficiency

CLC Number:

TM712

LI Dongdong, LIU Di, XU Bo, DING Haoyin, LIU Jiachen. Quantitative Evaluation Method for Effective Support Capability of Wind Turbine Virtual Inertia[J]. Journal of Shanghai Jiao Tong University, 2026, 60(7): 1120-1129.

Figures/Tables 14

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仿真算例	风力机综合惯量控制系数
A	k_d=8,k_p=8
B	k_d=12,k_p=8
C	k_d=12,k_p=15
D	k_d=20,k_p=15

T_d/ms	${\stackrel{-}{\mathit{x}}}_{\mathit{R}}$ /(Hz·s^-1)
T_d/ms	A	B	C	D
0	-0.2167	-0.1994	-0.1892	-0.164 6
200	-0.2323	-0.2167	-0.2082	-0.184 6
400	-0.2444	-0.2309	-0.2241	-0.202 2

T_d/ms	η_V/%
T_d/ms	A	B	C	D
0	85.37	115.94	136.15	192.95
200	60.88	85.44	99.86	145.70
400	43.45	62.95	73.41	110.80