Dynamic Equivalence Modeling of Short-Circuit Faults in Wind Farms Considering Wake Effects

doi:10.16183/j.cnki.jsjtu.2022.476

Abstract

Abstract:

Fast and accurate analysis of the short-circuit characteristics of large wind farms has important engineering application value, and the short-circuit characteristics of wind farms under the influence of the wake effect vary greatly. Therefore, it is necessary to establish a wind farm short-circuit fault time equivalence model. A wind farm short-circuit fault dynamic equivalence method considering the effect of wake effect is proposed. First, the wake effect factor is defined to reflect the degree of the unit affected by the wake effect. Then, the wake effect factor is used as the grouping basis to reduce the variability of operating state of the units within the group under the influence of the wake effect. A positive- negative- zero-sequence network equivalence method is analyzed to improve the effectiveness of the equivalence model in asymmetric short-circuit faults. An equivalence method suitable for zero-sequence network is proposed and a platform is built for verification. The simulation results show that the dynamic short-circuit fault equivalence model proposed can accurately reflect the active and reactive short-circuit output characteristics of wind farms under the influence of the wake effect.

Key words: wake effect, wind farm, short-circuit fault, clustering algorithm, dynamic equivalence model

CLC Number:

TM614

YU Hao, LI Canbing, YE Zhiliang, PENG Sui, REN Wanxin, CHEN Sijie, TANG Binwei, CHEN Dawei. Dynamic Equivalence Modeling of Short-Circuit Faults in Wind Farms Considering Wake Effects[J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 798-805.

Figures/Tables 8

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

References 24

[1]	奚鑫泽, 邢超, 覃日升, 等. 含双馈风力发电系统的配电网短路电流特性[J]. 上海交通大学学报, 2023, 57(7): 921-927. doi: 10.16183/j.cnki.jsjtu.2022.011
	XI Xinze, XING Chao, QIN Risheng, et al. Characteristics of short-circuit current in distribution network with doubly-fed wind power system[J]. Journal of Shanghai Jiao Tong University, 2023, 57(7): 921-927.
[2]	林俐, 赵会龙, 陈迎, 等. 风电场建模研究综述[J]. 现代电力, 2014, 31(2): 1-10.
	LIN Li, ZHAO Huilong, CHEN Ying, et al. Research summary of wind farm modeling[J]. Modern Electric Power, 2014, 31(2): 1-10.
[3]	CHOWDHURY M A, SHEN W X, HOSSEINZADEH N, et al. A novel aggregated DFIG wind farm model using mechanical torque compensating factor[J]. Energy Conversion and Management, 2013, 67: 265-274.
[4]	LIU H Z, CHEN Z. Aggregated modelling for wind farms for power system transient stability studies[C]//2012 Asia-Pacific Power and Energy Engineering Conference. Shanghai, China: IEEE, 2012: 1-6.
[5]	陈树勇, 王聪, 申洪, 等. 基于聚类算法的风电场动态等值[J]. 中国电机工程学报, 2012, 32(4): 11-19.
	CHEN Shuyong, WANG Cong, SHEN Hong, et al. Dynamic equivalence for wind farms based on clustering algorithm[J]. Proceedings of the CSEE, 2012, 32(4): 11-19.
[6]	徐玉琴, 刘丹丹. 基于两步分群法的双馈机组风电场等值建模[J]. 电力系统保护与控制, 2017, 45(6): 108-114.
	XU Yuqin, LIU Dandan. Equivalence of wind farms with DFIG based on two-step clustering method[J]. Power System Protection and Control, 2017, 45(6): 108-114.
[7]	余浩, 张哲萌, 彭穗, 等. 海上风电经柔性直流并网技术标准对比分析[J]. 上海交通大学学报, 2022, 56(4): 403-412. doi: 10.16183/j.cnki.jsjtu.2021.465
	YU Hao, ZHANG Zhemeng, PENG Sui, et al. Comparative analysis of technical standards for offshore wind power via VSC-HVDC[J]. Journal of Shanghai Jiao Tong University, 2022, 56(4): 403-412.
[8]	YE L, RAO R S, ZHANG Y L, et al. Dynamic equivalent modeling approach of wind power plant with PMSG-WTGs[C]//2017 IEEE Power & Energy Society General Meeting. Chicago, USA: IEEE, 2017: 1-5.
[9]	ZHOU Y H, ZHAO L, MATSUO I B M, et al. A dynamic weighted aggregation equivalent modeling approach for the DFIG wind farm considering the weibull distribution for fault analysis[J]. IEEE Transactions on Industry Applications, 2019, 55(6): 5514-5523.
[10]	魏娟, 黎灿兵, 黄晟, 等. 大规模风电场高电压穿越控制方法研究综述[J/OL]. 上海交通大学学报. https://doi.org/10.16183/j.cnki.jsjtu.2022.416.
	WEI Juan, LI Canbing, HUANG Sheng, et al. Review on high voltage ride-through control method of large-scale wind farm[J/OL]. Journal of Shanghai Jiao Tong University. https://doi.org/10.16183/j.cnki.jsjtu.2022.416.
[11]	高永强, 梅勇, 王晗玥, 等. 基于机组聚合与线路等值影响因子的风电场等值优化[J]. 广东电力, 2023, 36(6): 11-22.
	GAO Yongqiang, MEI Yong, WANG Hanyue, et al. Equivalent optimization of wind farm based on influencing factors of wind turbine aggregation and collector line equivalence[J]. Guangdong Electric Power, 2023, 36(6): 11-22.
[12]	袁超, 颜全椿, 顾文, 等. 考虑尾流效应及连接架构的风电场等值方法研究[J]. 可再生能源, 2023, 41(6): 794-803.
	YUAN Chao, YAN Quanchun, GU Wen, et al. Study on the wind farm equivalent method considering wake effect and connection structure[J]. Renewable Energy Resources, 2023, 41(6): 794-803.
[13]	徐玉琴, 王娜. 基于聚类分析的双馈机组风电场动态等值模型的研究[J]. 华北电力大学学报(自然科学版), 2013, 40(3): 1-5.
	XU Yuqin, WANG Na. Study on dynamic equivalence of wind farms with DFIG based on clustering analysis[J]. Journal of North China Electric Power University (Natural Science Edition), 2013, 40(3): 1-5.
[14]	张剑, 崔明建, 何怡刚. 基于PMU实测数据的DFIG风电场等值模型鲁棒性与适应性分析[J]. 太阳能学报, 2023, 44(10): 320-328. doi: 10.19912/j.0254-0096.tynxb.2022-0867
	ZHANG Jian, CUI Mingjian, HE Yigang. Robustness and adaptability analysis of equivalent model of DFIG wind farm based on measured data of PMU[J]. Acta Energiae Solaris Sinica, 2023, 44(10): 320-328. doi: 10.19912/j.0254-0096.tynxb.2022-0867
[15]	高峰, 赵东来, 周孝信, 等. 直驱式风电机组风电场动态等值[J]. 电网技术, 2012, 36(12): 222-227.
	GAO Feng, ZHAO Donglai, ZHOU Xiaoxin, et al. Dynamic equivalent algorithm for wind farm composed of direct-drive wind turbines[J]. Power System Technology, 2012, 36(12): 222-227.
[16]	董文凯, 任必兴, 王海风, 等. 适用于系统次同步振荡分析的风电场等值建模方法综述[J]. 电力工程技术, 2022, 41(4): 33-43.
	DONG Wenkai, REN Bixing, WANG Haifeng, et al. Small-signal equivalent modeling methods of the wind farm and its application in sub-synchronous oscillations analysis of gird-connected wind power systems[J]. Electric Power Engineering Technology, 2022, 41(4): 33-43.
[17]	白雁翔, 王德林, 马宁宁, 等. 大型风电场的动态等值方法研究[J]. 电工技术, 2018(13): 46-49.
	BAI Yanxiang, WANG Delin, MA Ningning, et al. Study on dynamic equivalence method of large scale wind farm[J]. Electric Engineering, 2018(13): 46-49.
[18]	刘清媛, 吴松华, 张凯临, 等. 基于单-双高斯模型拟合法的测风激光雷达海上风电机组尾流特征分析[J]. 大气与环境光学学报, 2021, 16(1): 44-57.
	LIU Qingyuan, WU Songhua, ZHANG Kailin, et al. Offshore wind turbine wake characteristics analysis using single-double Gaussian model based on wind lidar measurements[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(1): 44-57.
[19]	SUN H Y, GAO X X, YANG H X. A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect[J]. Renewable and Sustainable Energy Reviews, 2020, 132: 110042.
[20]	徐玉琴, 张林浩, 王娜. 计及尾流效应的双馈机组风电场等值建模研究[J]. 电力系统保护与控制, 2014, 42(1): 70-76.
	XU Yuqin, ZHANG Linhao, WANG Na. Study on equivalent model of wind farms with DIFG considering wake effects[J]. Power System Protection and Control, 2014, 42(1): 70-76.
[21]	黄梅, 万航羽. 在动态仿真中风电场模型的简化[J]. 电工技术学报, 2009, 24(9): 147-152.
	HUANG Mei, WAN Hangyu. Simplification of wind farm model for dynamic simulation[J]. Transactions of China Electrotechnical Society, 2009, 24(9): 147-152.
[22]	曹娜, 于群. 风速波动情况下并网风电场内风电机组分组方法[J]. 电力系统自动化, 2012, 36(2): 42-46.
	CAO Na, YU Qun. A grouping method for wind turbines in a grid-connected wind farm during wind speed fluctuation[J]. Automation of Electric Power Systems, 2012, 36(2): 42-46.
[23]	袁飞. 风电场常用工程尾流模型对比与分析[J]. 能源与节能, 2023(11): 37-41.
	YUAN Fei. Comparison and analysis of commonly used engineering wake models in wind farms[J]. Energy and Energy Conservation, 2023(11): 37-41.
[24]	蔺红, 晁勤. 等值损耗功率法在风电场等值计算中的应用[J]. 电测与仪表, 2011, 48(8): 5-9.
	LIN Hong, CHAO Qin. Application of equivalent power loss in equivalence calculation of wind farms[J]. Electrical Measurement & Instrumentation, 2011, 48(8): 5-9.