LVRT Measurement Model and Transient Parameter Identification of Wind Turbine Based on Chaotic Particle Swarm

doi:10.11930/j.issn.1004-9649.202310040

Abstract

Abstract:

The high-accuracy simulation model is the basis for transient stability analysis of large-scale wind power integration. However, the control strategies and parameters of doubly-fed wind turbines are technical secrets that are difficult to obtain, and the accuracy of model simulation is difficult to guarantee. In order to address the fault transient modeling problems of doubly-fed wind turbines, a measured data-based modeling and parameter identification method of doubly-fed wind turbines is proposed. Firstly, based on the DFIG model and control structure of the Power System Integrated Stability Program (PSASP), a low voltage ride through (LVRT) control mathematical model is established to analyze the fault transient process, and the LVRT transient control core parameters are clarified. Secondly, based on part of the field measured LVRT data of doubly-fed wind turbines, the fault transient parameters are identified with the chaotic particle swarm optimization algorithm. Finally, the accuracy of the identification parameters are analyzed and verified based on the remaining measured data. The simulation results have verified the effectiveness and accuracy of the proposed parameter identification method. The proposed method has strong generalization ability and high accuracy of identification results, and is of great engineering application value.

Key words: double-fed induction generator, low voltage ride through, parameter identification, measured data, chaotic particle swarm

Dan LI, Shiyao QIN, Shaolin LI, Jing HE. LVRT Measurement Model and Transient Parameter Identification of Wind Turbine Based on Chaotic Particle Swarm[J]. Electric Power, 2024, 57(8): 75-84.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202310040

https://www.electricpower.com.cn/EN/Y2024/V57/I8/75

Figures/Tables 15

References 22

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控制模式		参数
稳态控制		k_p-lp、k_i-lq、k_p1、k_i1
故障穿越暂态控制		K_{1_Ip_LV}、K_{1_Iq_LV}、I_{pest_LV}、I_{qest_LV}、k_{lvrt_p}

控制模式		参数
稳态控制		k_p-lp、k_i-lq、k_p1、k_i1
故障穿越暂态控制		K_{1_Ip_LV}、K_{1_Iq_LV}、I_{pest_LV}、I_{qest_LV}、k_{lvrt_p}

电压跌落幅值(p.u.)		电压跌落持续时间/ms
0.85~0.90		1880~2200
0.70~0.80		1685~1725
0.45~0.55		1194~1234
0.30~0.40		900~940
0.15~0.25		605~645

电压跌落幅值(p.u.)		电压跌落持续时间/ms
0.85~0.90		1880~2200
0.70~0.80		1685~1725
0.45~0.55		1194~1234
0.30~0.40		900~940
0.15~0.25		605~645

参数	LWPSO	CPSO	寻优范围
K_{1_Ip_LV}	2.043	2.005	[0, 5]
K_{1_Iq_LV}	1.813	1.872	[0, 10]
I_{pest_LV}	–0.662	–0.686	[–2, 4]
I_{qest_LV}	0.275	0.291	[-2, 4]
k_{lvrt_p}	0.317	0.317	[0, 1]