Electromagnetic Transient Equivalent Modeling Method for Wind Power Clusters Adapted to Expected Faults

doi:10.16182/j.issn1004731x.joss.23-FZ0791

Abstract

Abstract:

Based on an existing equivalent modeling method for individual wind farm, an iterative simulation-based equivalent modeling method for wind power clusters is proposed and a software development for equivalent modeling of wind power clusters is completed by using CloudPSS-XStudio suite.The system integrates expected fault selection, equivalent parameter calculation and result analysis, which provides support for dynamic security assessment of power systems with large-scale wind power clusters. The equivalent method takes the average wind speed of each wind farm and the expected faults as input, and obtains the cluster index of each wind turbine based on the iterative simulation of the equivalent model. Moreover, the clustering equivalent model is formed based on the cluster index. The correctness of the method is verified based on the example of IEEE 39-node system integrated with a wind power cluster.

Key words: direct-driven permanent magnet synchronous generator(PMSG)-based wind farm, dynamic equivalent method, dynamic security assessment, power systems, CloudPSS platform

CLC Number:

TP391.9

Li Dongsheng, Liu Ye, Song Yankan, Shen Chen. Electromagnetic Transient Equivalent Modeling Method for Wind Power Clusters Adapted to Expected Faults[J]. Journal of System Simulation, 2023, 35(10): 2101-2112.

Figures/Tables 20

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References 19

1	Mahela O P, Shaik A G. Comprehensive Overview of Grid Interfaced Wind Energy Generation Systems[J]. Renewable and Sustainable Energy Reviews, 2016, 57: 260-281.
2	Wang Yun, Hu Qinghua, Li Linhao, et al. Approaches to Wind Power Curve Modeling: a Review and Discussion[J]. Renewable and Sustainable Energy Reviews, 2019, 116: 109422.
3	Zou Jianxiao, Peng Chao, Yan Yan, et al. A Survey of Dynamic Equivalent Modeling for Wind Farm[J]. Renewable and Sustainable Energy Reviews, 2014, 40: 956-963.
4	Brochu J, Larose C, Gagnon R. Validation of Single-and Multiple-machine Equivalents for Modeling Wind Power Plants[J]. IEEE Transactions on Energy Conversion, 2011, 26(2): 532-541.
5	Qi Jinling, Chao Pupu, Jin Xiaoming, et al. Dynamic Equivalent Modeling of Direct-drive PMSG Wind Farms Based on the Transient Active Power Response Characteristics[C]//2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia). Piscataway, NJ, USA: IEEE, 2016: 2925-2930.
6	潘学萍, 张弛, 鞠平, 等. 风电场同调动态等值研究[J]. 电网技术, 2015, 39(3): 621-627.
	Pan Xueping, Zhang Chi, Ju Ping, et al. Coherency-based Dynamic Equivalence of Wind Farm Composed of Doubly Fed Induction Generators[J]. Power System Technology, 2015, 39(3): 621-627.
7	Han Ji, Miao Shihong, Chen Zhe, et al. A Novel Wind Farm Equivalent Model for High Voltage Ride Through Analysis Based on Multi-view Incremental Transfer Clustering[J]. International Journal of Electrical Power & Energy Systems, 2022, 135: 107527.
8	王增平, 杨国生, 汤涌, 等. 基于特征影响因子和改进BP算法的直驱风机风电场建模方法[J]. 中国电机工程学报, 2019, 39(9): 2604-2614.
	Wang Zengping, Yang Guosheng, Tang Yong, et al. Modeling Method of Direct-driven Wind Generators Wind Farm Based on Feature Influence Factors and Improved BP Algorithm[J]. Proceedings of the CSEE, 2019, 39(9): 2604-2614.
9	叶林, 饶日晟, 郎燕生, 等. 考虑有向功率特性的风电场功率输出模型[J]. 电网技术, 2016, 40(12): 3775-3783.
	Ye Lin, Rao Risheng, Lang Yansheng, et al. Power Output Model of Wind Farms Considering Directional Power Characteristics[J]. Power System Technology, 2016, 40(12): 3775-3783.
10	张保会, 李光辉, 王进, 等. 风电接入对继电保护的影响(二)-双馈式风电场电磁暂态等值建模研究[J]. 电力自动化设备, 2013, 33(2): 1-7.
	Zhang Baohui, Li Guanghui, Wang Jin, et al. Impact of Wind Farm Integration on Relay Protection(2): DFIG-based Wind Farm Electromagnetic Transient Equivalent Model[J]. Electric Power Automation Equipment, 2013, 33(2): 1-7.
11	李东晟, 沈沉, 吴林林, 等. 考虑初始风速与机端故障稳态电压跌落程度的直驱风机故障响应特性分类及其判别方法研究[J/OL]. 中国电机工程学报. (2023-01-13) [2023-04-15]. .
	Li Dongsheng, Shen Chen, Wu Linlin, et al. Study on Fault Response Characteristics Classification and Discriminant Method of PMSG Considering Initial Wind Speed and Drop Degree of Terminal Fault Steady-state Voltage[J/OL]. Proceedings of the CSEE. (2023-01-13) [2023-04-15]. .
12	Li Dongsheng, Shen Chen, Liu Ye, et al. A Dynamic Equivalent Method for PMSG-WTG Based Wind Farms Considering Wind Speeds and Fault Severities[J/OL]. IEEE Transactions on Power Systems, 2023. (2023-05-24) [2023-04-14]. .
13	盖春阳. 基于低电压穿越控制的直驱风电场等值建模研究[D]. 合肥: 合肥工业大学, 2019.
	Gai Chunyang. Research on PMSG Wind Farm Equivalent Modeling Based on Low Voltage Ride through Control[D]. Hefei: Hefei University of Technology, 2019.
14	国家市场监督管理总局, 中国国家标准化管理委员会. 风力发电机组故障电压穿越能力测试规程: [S]. 北京: 中国标准出版社, 2019: 1-20.
	State Administration for Market Regulation, Standardization Administration of the People's Republic of China. Wind Turbines-test procedure of Voltage Fault Ride Through Capability: [S]. Beijing: Standards Press of China, 2019: 1-20.
15	Lorenzo-Bonache A, Honrubia-Escribano A, Fortmann J, et al. Generic Type 3 WT Models: Comparison Between IEC and WECC Approaches[J]. IET Renewable Power Generation, 2019, 13(7): 1168-1178.
16	孙大卫, 吴林林, 刘辉, 等. 弱电网直驱风机低电压穿越特性及其对机端暂态电压的影响[J]. 中国电机工程学报, 2021, 41(14): 4777-4786.
	Sun Dawei, Wu Linlin, Liu Hui, et al. Effect of the Low Voltage Ride Through Characteristics on PMSG Terminal Transient Voltage in Weakly-synchronized Gird[J]. Proceedings of the CSEE, 2021, 41(14): 4777-4786.
17	Song Yankan, Chen Ying, Yu Zhitong, et al. CloudPSS: A High-performance Power System Simulator Based on Cloud Computing[J]. Energy Reports, 2020, 6, : 1611-1618.
18	Mercado-Vargas M J, Gómez-Lorente D, Rabaza O, et al. Aggregated Models of Permanent Magnet Synchronous Generators Wind Farms[J]. Renewable Energy, 2015, 83: 1287-1298.
19	沈沉, 陈颖, 黄少伟, 等. 新型电力系统仿真应用软件设计理念与发展路径[J]. 电力系统自动化, 2022, 46(10): 75-86.
	Shen Chen, Chen Ying, Huang Shaowei, et al. Design Idea and Development Path of Simulation Application Software for New Power System[J]. Automation of Electric Power Systems, 2022, 46(10): 75-86.

风电场编号	第1次迭代	第2次迭代
1	0.102 9	0.102 8
2	0.102 9	0.102 8
3	0.102 9	0.102 8
4	0.102 9	0.102 8
5	0.106 8	0.106 7
6	0.106 8	0.106 7
7	0.102 9	0.102 8
8	0.104 9	0.104 8
9	0.104 9	0.104 8
10	0.104 9	0.104 7

分群	风机编号
1	–
2	1，2，7，8，9，13，14，19，20，21，26，27，28，32，33，38，39，44，45，46，50，51，52，53，56，57，58，59，62，63，68，69，70，74，75，76，80，81，82，87，88，91，94，95，96
3	3，4，5，6，10，11，12，15，16，17，18，22，23，24，25，29，30，31，34，35，36，37，40，41，42，43，47，48，49，54，55，60，61，64，65，66，67，71，72，73，77，78，79，83，84，85，86，89，90，92，93，97，98，99，100

算例编号	主要参数	详细模型	本文模型	单机等值模型
1	仿真时间/s	4 632	18.30	10.50
1	等值误差/%	–	1.67	5.85
2	仿真时间/s	4 430	22.10	9.70
2	等值误差/%	–	1.31	5.53

步骤	调用模块	功能
1	算例管理模块	指定研究的原始算例及预想故障集合
2	参数计算模块	在给定PCC电压跌落情况下计算等值机参数
3	仿真调用模块	调用电磁暂态仿真对预想故障进行仿真分析
4	结果展示模块	输出等值机参数及功率特性

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