基于DIgSILENT的风电场等值建模研究

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Abstract Based on the characteristics of complex wind farm operating conditions and dynamic changes of operating conditions, a method based on Mahalanobis distance fuzzy clustering algorithm (FCM-M) for equivalence modeling of wind farms is proposed. Taking the measured wind speed-power data collected by the wind farm under different wind conditions and seasonal variation time period as the grouping index, FCM-M is used to cluster the clusters, and the same group of wind turbines are equivalent to one unit and in DIgSILENT. Dynamic equivalence modeling of wind farms is achieved with its Matlab interface. The simulation results show that the active and reactive power changes of the wind farm's grid-connected point are basically the same as those of the measured data curve when the wind speed fluctuates and the high-voltage side line faults. It can be used for stability analysis of the wind farm with doubly-fed wind turbines when it is connected to the power system.

Key words： wind farm grouping index markov fuzzy clustering algorithm DIgSILENT Matlab interface

Received: 07 November 2019 Published: 16 April 2020

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	Chen Kunming
	Ma Chengbin

Cite this article:

Chen Kunming,Ma Chengbin. Research on wind farm equivalent modeling based on DIgSILENT[J]. Electrical Engineering, 2020, 21(4): 15-19.

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http://dqjs.cesmedia.cn/EN/Y2020/V21/I4/15

[1] 魏伟. 风力发电及相关技术发展现状和趋势[J]. 电气技术, 2008, 9(12): 5-10, 14.
[2] 李志梅, 赵东标. 风电技术现状及发展趋势[J]. 电气技术, 2007, 8(6): 48-50.
[3] 乔嘉赓, 鲁宗相, 闵勇, 等. 风电场并网的新型实用等效方法[J]. 电工技术学报, 2009, 24(4): 209-213.
[4] 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.
[5] 许郁, 朱永强. 并网风电场发电可靠性的新的评价指标[J]. 电气技术, 2010, 11(6): 9-12.
[6] 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.
[7] 陈树勇, 戴慧珠, 白晓民, 等. 尾流效应对风电场输出功率的影响[J]. 中国电力, 1998, 31(11): 28-31.
[8] 杜晓岩, 尹华杰, 叶超, 等. 基于改进模糊C均值聚类和MPSO的风电场等值研究[J]. 广东电力, 2016, 29(8): 38-44.
[9] 王海明, 韩肖清, 田建艳, 等. 考虑实际运行数据的风电场稳态建模[J]. 电力系统及其自动化学报, 2016, 28(9): 27-35.
[10] 米增强, 苏勋文, 杨奇逊, 等. 风电场动态等值模型的多机表征方法[J]. 电工技术学报, 2010, 25(5): 162-169.
[11] 孙元存, 刘三明, 王致杰, 等. 基于IGWO-k-means的风电场动态等值建模[J]. 现代电力, 2018, 35(5): 49-55.
[12] 赵凯, 侯玉强. 基于自组织映射神经网络k-means聚类算法的风电场多机等值建模[J]. 浙江电力, 2019, 38(8): 30-36.
[13] 曹娜, 赵海翔, 陈默子, 等. 潮流计算中风电场的等值[J]. 电网技术, 2006, 30(9): 53-56.
[14] 袁天清, 武小梅, 刘国祥, 等. DIgSILENT与Matlab接口的仿真建模[J]. 广东电力, 2014, 27(3): 49-52.
[15] 彭丁聪. 卡尔曼滤波的基本原理及应用[J]. 软件导刊, 2009, 8(11): 32-34.
[16] 胡杰, 余贻鑫. 电力系统动态等值参数聚合的实用方法[J]. 电网技术, 2006(24): 26-30.