Application of Expectation Maximization Algorithm for Measurement-based Power System Load Modeling

机译：期望最大化算法在基于测量的电力系统负荷建模中的应用

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This paper describes a practical application of the Expectation Maximization algorithm for computing the static load model of large electricity consumers. Such a model is necessary for effective and reliable operational control of electric power systems. The possibility of estimating basic states of electrical load using arrays of measured voltage and power data is shown. The criteria for selecting the most appropriate clusters are formulated and a step by step linear load model parameter estimation method is proposed. A practical method application is illustrated by using measurements of voltage and real power obtained at a large industrial facility. As a result, a load model with two basic states and corresponding linear models is obtained.

机译：本文介绍了期望最大化算法在计算大型用电量静态负荷模型中的实际应用。这样的模型对于电力系统的有效和可靠的运行控制是必需的。示出了使用所测量的电压和功率数据的阵列来估计电负载的基本状态的可能性。制定了选择最合适集群的标准，并提出了逐步线性负荷模型参数估计的方法。通过使用在大型工业设施上获得的电压和有功功率的测量值来说明一种实际的方法应用。结果，获得了具有两个基本状态的负载模型和相应的线性模型。

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《International Siberian Conference on Control and Communications》|2019年|1-5|共5页
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Aleksey V. Pankratov; Natalia L. Batseva; Ekaterina S. Polyakova; Alexander S. Tavlintsev; Ivan L. Lapatin; Ilya Y. Lipnitskiy;
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Load modeling; Mathematical model; Clustering algorithms; Voltage measurement; Covariance matrices; Power measurement; Power systems;

机译：负载建模;数学模型;聚类算法;电压测量;协方差矩阵;功率测量;功率系统;

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4. Application of Expectation Maximization Algorithm for Measurement-based Power System Load Modeling [C] . Aleksey V. Pankratov, Natalia L. Batseva, Ekaterina S. Polyakova, International Siberian Conference on Control and Communications . 2019

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Application of Expectation Maximization Algorithm for Measurement-based Power System Load Modeling

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