A novel protection method for a wind farm collector line based on FCM clustering analysis

A novel protection method for a wind farm collector line based on FCM clustering analysis
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基于FCM聚类分析的风电场集电线路保护新方法

DOI:
10.1016/j.ijepes.2021.106863
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发表时间:
2021-07
影响因子:
5.2
通讯作者:
Zhan Wang
Zhan Wang
中科院分区:
工程技术2区
文献类型:
--
作者:
Kun Yu;Zhanlei Liu;Guoxuan Zhao;Jiazheng Li;Xiangjun Zeng;Zhan Wang

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针对大型风电场集线器线路保护误动的问题,提出了一种基于模糊C均值(FCM)聚类分析的保护方法。分析了故障条件下双馈感应发电机故障电流与电压暂降之间的内在关系。根据DFIG故障电流中包含的分量特征,提取不同运行条件下的直流、交流工频和旋转频率,形成历史数据样本集。在多维故障空间中,利用FCM算法将HIS特征样本分为非故障和故障两类,从而得到聚类中心。利用距离相似准则确定实时特征样本的属性,对其保护效果进行评价。在DigSILENT中建立了一个集中式大规模绕线场模型,对集线器线路的各种故障和运行情况进行了仿真,仿真结果表明,在不同故障情况下,考虑DFIG馈电电流的情况下,所提出的保护方法能够准确地跳闸故障集线器线路。该保护方法提高了继电保护在风电场运行条件变化下的适应性。
To solve the problem of incorrect collector line protection in large-scale wind farms, we propose a protection.method based on fuzzy c-means (FCM) clustering analysis. The intrinsic relationship between the fault current.and the voltage sag of a doubly-fed induction generator (DFIG) was analysed under fault conditions. According to.the component characteristics contained in the DFIG fault current, the DC, AC power frequency, and rotation.frequency under different operation conditions were extracted to form the historical data sample set. The his-.torical feature samples were divided into either the non-fault or fault category by the FCM algorithm in the multi-.dimensional fault space, thereby obtaining the clustering centres. The distance similarity criterion was used to.determine the attributes of the real-time feature sample to evaluate its protection. A centralized large-scale wind.farm model was established in DIgSILENT to simulate various fault and operation conditions of the collector line..The simulation results showed that the proposed protection method could trip the fault collector line accurately.by considering DFIG feeding current under different fault conditions. The proposed protection method improved.the relay adaptability under variable wind farm operation conditions.
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