电力负荷与系统广域动态特征的相关度

Correlation of Loads to Wide-area Dynamic Characters of Power Systems

提出一种电力负荷与电力系统广域动态特征的相关度分析方法。以发电机相对功角作为系统广域动态特征,构造研究广域相关度问题的特征向量,特征向量包括系统当前运行状态及各发电机功角的相关度指标,并计入了负荷时变性的影响。以特征向量之间的相异度作为分类标准,采用Chameleon聚类算法对特征向量空间进行分类。对分类结果进行频繁模式挖掘,根据相应关联规则的支持度和置信度,最终确定负荷的广域相关度。10机39节点系统的仿真结果表明,是否计入负荷时变性并不影响研究结果的总体趋势,体现了该研究方法的有效性和鲁棒性,为进一步开展广域负荷建模提供了重要的参考依据。

An analysis method about the correlation of loads to wide-area dynamic characters of power system is presented.The generator relative angle is regarded as wide-area dynamic character of a power system.The characteristic vector comprising the operation conditions of the power system and the correlation indices of generator angles is constructed firstly.The load timevariation character is considered in the characteristic vector.The dissimilarity of characteristic vectors is set as the criterion that characteristic vectors are classified by the Chameleon clustering algorithm.Through frequent patternbased mining of classification results,the support and the confidence of the corresponding association rules can be obtained and the correlations of loads to generator relative angles are determined finally.The study results of a 10-machine 39-bus system indicate that the analysis results are not influenced obviously by the load time-variation characteristics.The analysis method is effective and robust,which will be important to load modeling based on wide-area measurement in the future.