On implementing a spectral clustering controlled islanding algorithm in real power systems

On implementing a spectral clustering controlled islanding algorithm in real power systems
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谱聚类控制孤岛算法在实际电力系统中的实现

DOI:
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发表时间:
2013
期刊:
IEEE Grenoble Conference
影响因子:
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通讯作者:
V. Terzija
V. Terzija
中科院分区:
--
文献类型:
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作者:
P. Demetriou;J. Quirós;E. Kyriakides;V. Terzija

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大面积停电可能由意外故障情况引起,特别是保护误操作,或同时发生的低概率事件,这可能导致例如,无阻尼的机电振荡。一个谱聚类控制孤岛(SCCI)的方法,以找到一个合适的孤岛解决方案,以防止此类事件先前提出并使用不同的IEEE测试网络进行测试。应用于该解决方案的唯一约束与发电机相干性有关。该方法在这些IEEE测试网络上实现时,表现出良好的效果。SCCI方法后来使用简化的塞浦路斯网络和波兰网络进行了测试。在实际电力系统中实施SCCI方法时所取得的结果突出了以前没有考虑的实际问题,并且在使用它时需要解决。因此,本文提出了一种鲁棒SCCI方法。本文提出并分析了影响聚类质量的离群点问题和算法计算效率的问题(当处理大于500个节点的系统时)。为了提高聚类质量,一个更强大的聚类算法,k-medoids,被用来聚类的所有节点的解决方案子空间,并找到孤岛解决方案。
Wide area blackouts can be caused by unexpected fault scenarios, in particular protection maloperation, or simultaneous low probability events, which as such might lead to e.g., un-damped electromechanical oscillations. A Spectral Clustering Controlled Islanding (SCCI) method to find a suitable islanding solution for preventing such events was previously proposed and tested using different IEEE test networks. The sole constraint applied to this solution was related to generator coherency. The method demonstrated promising results when it was implemented on these IEEE test networks. The SCCI method was later tested using a simplified Cypriot Network and the Polish Network. The results achieved when implementing the SCCI method on actual power systems highlight practical issues that were not previously considered and require to be addressed when using it. Therefore, this paper presents a robust SCCI method. An outlier problem which affects the quality of clustering and a problem with the computational efficiency of the algorithm (when dealing with systems larger than 500 nodes) are presented and analyzed in this paper. To improve the clustering quality, a more robust clustering algorithm, k-medoids, is used to cluster all nodes in the solution subspace and to find the islanding solution.
DOI: 10.1109/mpe.2008.930657
发表时间: 2009
影响因子: 2.8
作者:
S. Chakrabarti;E. Kyriakides;T. Bi;Deyu Cai;V. Terzija
通讯作者: S. Chakrabarti;E. Kyriakides;T. Bi;Deyu Cai;V. Terzija