双馈风力发电机组变流器控制参数分步辨识方法

戚正浩, 段建东, 高桐, 邓俊, 张阳, 陈杰

太阳能学报 ›› 2024, Vol. 45 ›› Issue (5) : 18-26.

PDF(5840 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(5840 KB)
太阳能学报 ›› 2024, Vol. 45 ›› Issue (5) : 18-26. DOI: 10.19912/j.0254-0096.tynxb.2023-0127

双馈风力发电机组变流器控制参数分步辨识方法

  • 戚正浩1, 段建东1, 高桐1, 邓俊2, 张阳1, 陈杰1
作者信息 +

STEPWISE IDENTIFICATION METHOD OF CONVERTER CONTROL PARAMETERS FOR DOUBLY-FED INDUCTION GENERATORS

  • Qi Zhenghao1, Duan Jiandong1, Gao Tong1, Deng Jun2, Zhang Yang1, Chen Jie1
Author information +
文章历史 +

摘要

该文通过构建双馈风力发电机组转子侧与网侧控制系统包含8个PI控制器待辨识参数的内、外环传递函数作为参数辨识模型,基于此提出内外环施加不同扰动源的激励方法和基于改进灰狼算法的分步参数辨识方法。为避免内外环PI控制器之间的级联问题,特别选出3个合理的内外环观测量。最后,建立双馈风力发电机组仿真模型,测试所提分步辨识方法可行性,对比扰动下实际模型与辨识模型的观测量输出,证明辨识方法的准确性。

Abstract

In this paper, the inner and outer loop transfer functions of the rotor-side and grid side control systems of doubly-fed wind turbines containing eight PI controllers to be identified are constructed as the parameter identification model, based on which an excitation method with different disturbance sources applied to the inner and outer loops and a stepwise parameter identification method based on the improved Gray Wolf algorithm are proposed. Among them, in order to avoid the cascade problem between the inner and outer loop PI controllers, three reasonable inner and outer loop observations are especially selected. Finally, a simulation model of the doubly fed wind turbine is established to test the feasibility of the proposed stepwise identification method, and the results show the accuracy of the identification method by comparing the observed output of the actual model and the identification model under perturbation.

关键词

变流器 / 参数辨识 / 传递函数 / 双馈风力发电机组 / 灰狼算法

Key words

converter / parameter identification / transfer function / double fed wind turbine / grey wolf algorithm

引用本文

导出引用
戚正浩, 段建东, 高桐, 邓俊, 张阳, 陈杰. 双馈风力发电机组变流器控制参数分步辨识方法[J]. 太阳能学报. 2024, 45(5): 18-26 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0127
Qi Zhenghao, Duan Jiandong, Gao Tong, Deng Jun, Zhang Yang, Chen Jie. STEPWISE IDENTIFICATION METHOD OF CONVERTER CONTROL PARAMETERS FOR DOUBLY-FED INDUCTION GENERATORS[J]. Acta Energiae Solaris Sinica. 2024, 45(5): 18-26 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0127
中图分类号: TM614   

参考文献

[1] 何世恩, 董新洲. 大规模风电机组脱网原因分析及对策[J]. 电力系统保护与控制, 2012, 40(1): 131-137, 144.
HE S E, DONG X Z.Cause analysis on large-scale wind turbine tripping and its countermeasures[J]. Power system protection and control, 2012, 40(1): 131-137, 144.
[2] WESSELS C, FUCHS F W.High voltage ride through with FACTS for DFIG based wind turbines[C]//2009 13th European Conference on Power Electronics and Applications. Barcelona, Spain, 2009: 1-10.
[3] ASMINE M, BROCHU J, FORTMANN J, et al.Model validation for wind turbine generator models[J]. IEEE transactions on power systems, 2011, 26(3): 1769-1782.
[4] 田芳, 黄彦浩, 史东宇, 等. 电力系统仿真分析技术的发展趋势[J]. 中国电机工程学报, 2014, 34(13): 2151-2163.
TIAN F, HUANG Y H, SHI D Y, et al.Developing trend of power system simulation and analysis technology[J]. Proceedings of the CSEE, 2014, 34(13): 2151-2163.
[5] DU W J, CHEN X, WANG H F.Impact of dynamic interactions introduced by the DFIGs on power system electromechanical oscillation modes[J]. IEEE transactions on power systems, 2017, 32(6): 4954-4967.
[6] TANG W, HU J B, CHANG Y Z, et al.Modeling of DFIG-based wind turbine for power system transient response analysis in rotor speed control timescale[J]. IEEE transactions on power systems, 2018, 33(6): 6795-6805.
[7] 李辉, 吴优, 谢翔杰, 等. 基于改进PSO的双馈风电机组传动链参数辨识[J]. 太阳能学报, 2021, 42(12): 134-142.
LI H, WU Y, XIE X J, et al.Parameter identification of transmission chain for doubly-fed wind turbine based on improved particle swarm optimization[J]. Acta energiae solaris sinica, 2021, 42(12): 134-142.
[8] 王红, 梁俊霞, 胡佳琳. 基于αβ坐标系模型的双馈风力发电机参数辨识[J]. 电力系统保护与控制, 2014, 42(20): 81-85.
WANG H, LIANG J X, HU J L.Doubly-fed wind power generator parameter identification based on the αβ coordinate model[J]. Power system protection and control, 2014, 42(20): 81-85.
[9] 张铸, 姜金美, 张小平. 改进灰狼优化算法的永磁同步电机多参数辨识[J]. 电机与控制学报, 2022, 26(10): 119-129.
ZHANG Z, JIANG J M, ZHANG X P.Multi-parameter identification of permanent magnet synchronous motor based on improved grey wolf optimization algorithm[J]. Electric machines and control, 2022, 26(10): 119-129.
[10] 潘学萍, 温荣超, 鞠平, 等. 双馈风电机组网侧控制器参数辨识的频域方法[J]. 电网技术, 2015, 39(3): 634-638.
PAN X P, WEN R C, JU P, et al.A frequency-domain based method to identify parameters of grid side converter controller for doubly fed induction generators[J]. Power system technology, 2015, 39(3): 634-638.
[11] 潘学萍, 鞠平, 温荣超, 等. 解耦辨识双馈风电机组转子侧控制器参数的频域方法[J]. 电力系统自动化, 2015, 39(20): 19-25, 108.
PAN X P, JU P, WEN R C, et al.Decoupling estimation of parameters in rotor side controller of DFIG-based wind turbine by frequency domain method[J]. Automation of electric power systems, 2015, 39(20): 19-25, 108.
[12] PAN X P, JU P, WU F, et al.Parameter estimation of drive system in a fixed-speed wind turbine by utilising turbulence excitations[J]. IET generation, transmission & distribution, 2013, 7(7): 665-673.
[13] 秦继朔, 贾科, 孔繁哲, 等. 基于寻优算法的永磁风机并网逆变器故障穿越控制参数分步辨识[J]. 中国电机工程学报, 2021, 41(S1): 59-69.
QIN J S, JIA K, KONG F Z, et al.Step-by-step identification of fault ride-through control parameters of grid-connected inverter with permanent magnet fan based on optimization algorithm[J]. Proceedings of the CSEE, 2021, 41(S1): 59-69.
[14] 李立, 郑天悦, 黄世楼, 等. 基于扩展卡尔曼滤波的DFIG变流器控制系统参数辨识方法[J]. 电网与清洁能源, 2022, 38(12): 50-60.
LI L, ZHENG T Y, HUANG S L, et al.A parameters identification method of DFIG converter control system based on extended Kalman filter[J]. Power system and clean energy, 2022, 38(12): 50-60.
[15] 王彤, 邢其鹏, 李鸿恩, 等. 计及虚拟惯量控制的DFIG等效惯量在线评估与响应特性分析[J]. 电力系统保护与控制, 2022, 50(11): 52-60.
WANG T, XING Q P, LI H E, et al.Online evaluation and response characteristics analysis of equivalent inertia of a doubly-fed induction generator incorporating virtual inertia control[J]. Power system protection and control, 2022, 50(11): 52-60.
[16] 许饶琪, 彭晓涛, 秦世耀, 等. 基于M序列的双馈风机变流器参数辨识方法研究[J]. 电网技术, 2022, 46(2): 578-586.
XU R Q, PENG X T, QIN S Y, et al.Parameter identification of doubly-fed induction generator converter based on M-sequence[J]. Power system technology, 2022, 46(2): 578-586.
[17] 金宇清, 鞠平, 刘伟航, 等. 基于量测信号扰动的DFIG变流器控制参数辨识方法[J]. 电力系统自动化, 2016, 40(8): 36-42.
JIN Y Q, JU P, LIU W H, et al.Parameter identification method for converter controller of DFIG based on measurement signal disturbance[J]. Automation of electric power systems, 2016, 40(8): 36-42.
[18] 金宇清, 赵泽, 鞠平, 等. 双馈感应风力发电机的参数辨识分析[J]. 高电压技术, 2011, 37(7): 1700-1705.
JIN Y Q, ZHAO Z, JU P, et al.Analysis on the identification of doubly fed induction generator[J]. High voltage engineering, 2011, 37(7): 1700-1705.
[19] QIN C, JU P, WU F, et al.Distinguishability analysis of controller parameters with applications to DFIG based wind turbine[J]. Science China technological sciences, 2013, 56(10): 2465-2472.
[20] 丁瑞成, 周玉成. 引入莱维飞行与动态权重的改进灰狼算法[J]. 计算机工程与应用, 2022, 58(23): 74-82.
DING R C, ZHOU Y C.Improved grey wolf optimization algorithm based on Levy flight and dynamic weight strategy[J]. Computer engineering and applications, 2022, 58(23): 74-82.

基金

国家自然科学基金(51877174); 国网陕西省电力有限公司科技项目(5226KY220013)

PDF(5840 KB)

Accesses

Citation

Detail

段落导航
相关文章

/