Research on Aggregation Motor Model Based on Statistical Synthesis Method

H. Xue, He Gou, Yanjun Li, Y. Zhang, Tao Yue, Hu Cheng
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Abstract

With the continuous development of power system, the accuracy of load modeling is required to be higher and higher. Aggregated modeling of motors is very important for integrated load modeling. Due to the deficiency in traditional aggregation method that static loads and induction motors are assumed to be connected to the same bus, an aggregation method of load considering distribution network is presented. In this method, according to nodal voltage equation of distribution network, connection nodes were removed, while load nodes were retained. Then, according to the principle that active and reactive power losses were equivalent before and after aggregation, equivalent distribution network impedance was calculated with the retained nodes voltages and admittances of the reduced distribution network. Moreover, voltage of the fictitious bus was obtained with the voltage and injecting current of the power supply point and the equivalent distribution network. Furthermore, static loads and induction motors were displaced to the fictitious bus. Finally, according to the electromagnetic model, induction motors displaced to the fictitious bus were aggregated into a single one, and static loads were aggregated to a composite one. Because the distribution net-work impedance is considered, the aggregation model well preserves the characteristic of composite load model of distribution network. The active and reactive fitting errors are small. A case is also taken to validate that the pro-posed method can improve the simulation precision.
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基于统计综合方法的聚合电机模型研究
随着电力系统的不断发展,对负荷建模的精度要求越来越高。电机的聚合建模对于集成负载建模是非常重要的。针对传统的静态负荷和异步电动机连接在同一母线上的聚合方法的不足,提出了一种考虑配电网的负荷聚合方法。该方法根据配电网的节点电压方程,去除连接节点,保留负载节点。然后,根据汇聚前后有功、无功损耗相等的原则,利用精简后配电网的保留节点电压和导纳计算等效配电网阻抗。利用供电点和等效配电网的电压和注入电流,得到虚拟母线的电压。此外,静态负载和感应电机被转移到虚拟总线。最后,根据电磁模型,将排在虚拟母线上的感应电机聚合为一个母线,将静态负载聚合为一个复合负载。由于考虑了配电网阻抗的影响,该聚合模型较好地保留了配电网复合负荷模型的特点。主动和被动拟合误差较小。算例验证了该方法提高了仿真精度。
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