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An analytic hierarchy process based method for identifying coherent generator groups

机译:基于分析层次过程的识别相干发生器组的方法

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To solve the subjective and one-sidedness problems in the process of coherency identification, more factors are taken to account to analyze the coherency of generators. Using the experience of analytic hierarchy process for reference, a practical AHP model is set up, which combines key factors such as swing curves, topological structures, parameters of the generators and so on, in order to change the process of coherency identification from single-decision making to multiple attribute decision making. Through the coherence of the standards system known homology matrix and its similarity comparison and analysis of the matrix calculation, various factors comprehensive analytic hierarchy judgment matrix is determined, a relatively objective factors to determine the weight. Distributed clustering method is used to calculate similarity matrix, in the end to complete motor clustering. Simulation results of IEEE118-bus and West Inner Mongolia Power Grid show that this method is accurate and practical.
机译:为了解决一致性识别过程中的主观和单面问题,需要更多因素来分析发电机的一致性。使用分析层次过程的经验参考,建立了一个实用的AHP模型,它结合了诸如摆动曲线,拓扑结构,发电机参数等的关键因素,以便改变单一的一致性识别过程决策对多个属性决策。通过标准系统的相干性,已知的同源矩阵及其相似性比较和分析矩阵计算,确定了各种因素综合分析层次判断矩阵,确定重量的相对客观因素。分布式聚类方法用于计算相似性矩阵,最后完成电机聚类。 IEEE118公交车和西部蒙古电网的仿真结果表明,这种方法是准确和实用的。

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