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A new approach for online coherency identification in power systems based on correlation characteristics of generators rotor oscillations

机译:基于发电机转子振动相关特性的电力系统在线相干性识别新方法

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摘要

In this paper, a new approach for identifying coherent groups of generators in power systems based on the correlation coefficients between rotor angle/speed oscillations of generators is presented. The method uses a newly proposed clustering index based on the correlation coefficients of generators oscillations which is able to classify any number of generators into coherent groups. The proposed approach uses real time data of generators oscillations via VAMS/PMUs, so it is able to easily take into account the effect of system detailed modeling, generators and system controllers and type of events. The proposed correlation index evaluated from the real time behavior of generators in time-domain following disturbances are used to evaluate the degree of coherency between any pair of generators. The generators' rotor angles and speeds can be obtained from synchronized measurements of system quantities using PMUs. Hence, the proposed method could be integrated into a wide-area measurement system enabling fast identification of coherent groups of generators. It is shown that by using COI of the aggregated in-phase coherent groups, the frequency of the inter-area mode can be evaluated. The proposed method is tested on the IEEE 39-bus with 10 generators and realistic power system of Iran with 405 generators. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文提出了一种基于转子角/发电机转速振荡之间的相关系数来识别电力系统发电机组的新方法。该方法基于发电机振荡的相关系数使用新提出的聚类指数,该聚类指数能够将任意数量的发电机分类为相干组。所提出的方法使用通过VAMS / PMU的发电机振荡的实时数据,因此能够轻松考虑系统详细建模,发电机和系统控制器以及事件类型的影响。从发生器在时域跟随扰动的实时行为评估的拟议相关指数用于评估任何一对发生器之间的相干程度。发电机的转子角和转速可以通过使用PMU对系统数量进行同步测量而获得。因此,可以将所提出的方法集成到能够快速识别发电机相干组的广域测量系统中。结果表明,通过使用聚集的同相相关组的COI,可以评估区域间模式的频率。所提出的方法已在10台发电机的IEEE 39总线和405台伊朗的实际电力系统上进行了测试。 (C)2016 Elsevier Ltd.保留所有权利。

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