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1.直流输电技术全国重点实验室(南方电网科学研究院有限责任公司),广东省广州市 510663
2.国家能源大电网技术研发(实验)中心,广东省广州市 510663
3.大连理工大学电气工程学院,辽宁省大连市 116081
Received:01 November 2023,
Revised:2024-02-01,
Published Online:29 May 2024,
Published:10 August 2024
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朱益华,李卫星,李成翔等.基于频域通用建模的双馈风电机组参数的一体化辨识方法[J].电力系统自动化,2024,48(15):92-101.
ZHU Yihua,LI Weixing,LI Chengxiang,et al.Integrated Identification Method for Parameters of Doubly-fed Wind Turbines Based on General Modeling in Frequency Domain[J].Automation of Electric Power Systems,2024,48(15):92-101.
朱益华,李卫星,李成翔等.基于频域通用建模的双馈风电机组参数的一体化辨识方法[J].电力系统自动化,2024,48(15):92-101. DOI: 10.7500/AEPS20231101005.
ZHU Yihua,LI Weixing,LI Chengxiang,et al.Integrated Identification Method for Parameters of Doubly-fed Wind Turbines Based on General Modeling in Frequency Domain[J].Automation of Electric Power Systems,2024,48(15):92-101. DOI: 10.7500/AEPS20231101005.
风电在电网中的占比逐年提高,其动态特性,尤其是故障穿越特性,对电力系统的影响日益显著,亟须构建能够表征实际风电机组动态特性的白盒模型。然而,风电机组的模型参数众多且交互影响,当前的参数辨识方法无法实现对整个机组故障穿越控制参数及限幅参数、转子侧内外环控制参数、网侧内外环控制参数和电气参数的整体辨识,尤其是无法精准辨识对外特性不敏感的参数。为解决这些问题,针对双馈风电机组故障穿越工况,构建了包含机组本体及全部控制器的频域通用模型,将参数分为4类逐步辨识,提出基于频域模型的分类分步一体化辨识方法。通过与仿真模型结果对比,验证了频域通用模型的准确性;通过参数辨识值与真值的对比、辨识出的白盒模型与厂家黑盒模型的响应特性对比,验证了所提方法的有效性。
The proportion of wind power in the power grid is increasing annually
and its dynamic characteristics
especially the fault ride-through characteristics
have an increasing impact on the power system. It is urgent to construct a white box model that can characterize the dynamic characteristics of actual wind turbines. However
the model parameters of wind turbines are numerous and have interactive effects
and the existing parameter identification methods cannot achieve comprehensive identification of the entire wind turbine
including fault ride-through control parameters
limiter parameters
rotor-side inner and outer loop control parameters
grid-side inner and outer loop control parameters
and electrical parameters. Particularly
there is a challenge in accurately identifying parameters with insensitive external characteristics. To address these issues
aiming at the fault ride-through conditions of doubly-fed wind turbines
the general models in frequency domain are constructed
including the whole mechanical
electrical and the involved control systems. Parameters are divided into 4 categories for step-by-step identification
and a classification and step-by-step integrated identification method based on frequency domain models is proposed. The accuracy of the general model in frequency domain is verified through comparison with simulation model results. The effectiveness of the proposed method is confirmed by comparing the parameter identification values and true values
as well as the response characteristics between the identified white-box model and the manufacturers’ black-box model.
周孝信 , 陈树勇 , 鲁宗相 , 等 . 能源转型中我国新一代电力系统的技术特征 [J]. 中国电机工程学报 , 2018 , 38 ( 7 ): 1893 - 1904 .
ZHOU Xiaoxin , CHEN Shuyong , LU Zongxiang , et al . Technology features of the new generation power system in China [J]. Proceedings of the CSEE , 2018 , 38 ( 7 ): 1893 - 1904 .
朱东海 , 邹旭东 , 胡家兵 , 等 . 双馈风电机组无撬棒故障穿越技术研究综述 [J]. 电工技术学报 , 2022 , 37 ( 19 ): 4895 - 4910 .
ZHU Donghai , ZOU Xudong , HU Jiabing , et al . Review of crowbarless fault ride through technology for doubly-fed induction generator-based wind turbines [J]. Transactions of China Electrotechnical Society , 2022 , 37 ( 19 ): 4895 - 4910 .
徐政 . 海上风电送出主要方案及其关键技术问题 [J]. 电力系统自动化 , 2022 , 46 ( 21 ): 1 - 10 .
XU Zheng . Main schemes and key technical problems for grid integration of offshore wind farm [J]. Automation of Electric Power Systems , 2022 , 46 ( 21 ): 1 - 10 .
齐金玲 , 李卫星 , 朱蒙 , 等 . 直驱风机低电压穿越行为对并网点电压的影响及优化控制 [J]. 电力系统自动化 , 2023 , 47 ( 7 ): 105 - 113 .
QI Jinling , LI Weixing , ZHU Meng , et al . Impact of low voltage ride-through behavior of direct-driven wind turbine on voltage of grid-connected point and optimal control [J]. Automation of Electric Power Systems , 2023 , 47 ( 7 ): 105 - 113 .
潘才俊 . 基于LVRT轨迹特征解析的双馈型风力发电机组模型辨识方法 [D]. 哈尔滨 : 哈尔滨工业大学 , 2021 .
PAN Caijun . Model identification method of doubly-fed wind turbine based on LVRT trajectory feature analysis [D]. Harbin : Harbin Institute of Technology , 2021 .
CHANG Y Z , HU J B , TANG W , et al . Fault current analysis of type-3 WTs considering sequential switching of internal control and protection circuits in multi time scales during LVRT [J]. IEEE Transactions on Power Systems , 2018 , 33 ( 6 ): 6894 - 6903 .
郭强 , 王鹤 , 聂永辉 , 等 . 考虑恢复暂态过程的直驱发电系统低电压穿越模型参数解耦辨识方法 [J]. 高电压技术 , 2021 , 47 ( 10 ): 3430 - 3440 .
GUO Qiang , WANG He , NIE Yonghui , et al . Decoupling identification method of low-voltage ride-through model parameters of direct drive power generation system considering recovery transient process [J]. High Voltage Engineering , 2021 , 47 ( 10 ): 3430 - 3440 .
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 ( 增刊1 ): 59 - 69 .
QIN Jishuo , JIA Ke , KONG Fanzhe . Stepwise parameter identification of fault ride-through control parameters of PMSG grid-connected inverter based on optimization algorithm [J]. Proceedings of the CSEE , 2021 , 41 ( Supplement 1 ): 59 - 69 .
严干贵 , 贾希浩 , 王玉鹏 , 等 . 动态响应误差驱动的风机并网变流器控制参数辨识方法 [J]. 东北电力大学学报 , 2023 , 43 ( 3 ): 1 - 7 .
YAN Gangui , JIA Xihao , WANG Yupeng , et al . Control parameter identification method of wind turbine grid-connected converter driven by dynamic response error [J]. Journal of Northeast Electric Power University , 2023 , 43 ( 3 ): 1 - 7 .
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 Xueping , WEN Rongchao , JU Ping , 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 .
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 .
PAN Xueping , JU Ping , WEN Rongchao , 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 .
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 Raoqi , PENG Xiaotao , QIN Shiyao , et al . Parameter identification of doubly-fed induction generator converter based on M-sequence [J]. Power System Technology , 2022 , 46 ( 2 ): 578 - 586 .
中国电力企业联合会 . 风电机组电气仿真模型验证规程:NB/T 31053—2021 [S]. 北京 : 国家能源局 , 2021 .
China Electricity Council . Code of practice for electrical simulation model validation of wind turbines: NB/T 31053—2021 [S]. Beijing : National Energy Administration , 2021 .
风电场接入电力系统技术规定 第1部分:陆上风电 : GB/T 19963.1—2021 [S/OL].[ 2023-03-04 ]. https://www.doc88.com/p-41173177937870.html https://www.doc88.com/p-41173177937870.html .
Technical regulations for wind farm integration into power systems Part 1: onshore wind power : GB/T 19963.1—2021 [S/OL]. [ 2023-03-04 ]. https://www.doc88.com/p-4117317 7937870.html https://www.doc88.com/p-41173177937870.html .
潘学萍 , 鞠平 , 徐倩 , 等 . 双馈风力发电机参数分步辨识及观测量的选择 [J]. 中国电机工程学报 , 2013 , 33 ( 13 ): 116 - 126 .
PAN Xueping , JU Ping , XU Qian , et al . A two-step method for estimating DFIG parameters in a wind turbine and the measurement selection [J]. Proceedings of the CSEE , 2013 , 33 ( 13 ): 116 - 126 .
QI J L , LI W X , CHAO P P , et al . Generic EMT modeling method of Type-4 wind turbine generators based on detailed FRT studies [J]. Renewable Energy , 2021 , 178 : 1129 - 1143 .
凌禹 . 大型双馈风电机组故障穿越关键技术研究 [D]. 上海 : 上海交通大学 , 2014 .
LING Yu . Research on the key techniques of fault ride through for wind turbines with doubly fed induction generator [D]. Shanghai : Shanghai Jiao Tong University , 2014 .
沈欣炜 , 郑竞宏 , 朱守真 , 等 . 光伏并网逆变器控制参数的 dq 轴解耦辨识策略 [J]. 电力系统自动化 , 2014 , 38 ( 4 ): 38 - 43 .
SHEN Xinwei , ZHENG Jinghong , ZHU Shouzhen , et al . A dq axis decoupling parameter identification strategy for grid-connected inverter controller of photovoltaic generation system [J]. Automation of Electric Power Systems , 2014 , 38 ( 4 ): 38 - 43 .
SHU L , ZHENG J , SHEN X , et al . Parameters’ sensitivity analysis of grid-connected photovoltaic power generation model under different kinds of disturbances [C]// Proceedings of 2012 IEEE Symposium on Electrical & Electronics Engineering , June 24-27 , 2012 , Shenyang, China : 658 - 661 .
国家能源局 . 风电机组电气仿真模型验证规程:NB/T 31053—2021 [S]. 北京 : 中国标准出版社 , 2021 .
National Energy Administration . Verification regulations for electrical simulation models of wind turbines: NB/T 31053—2021 [S]. Beijing : Standards Press of China , 2021 .
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