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An improved method for estimation of inertia constant of power system based on polynomial approximation

机译:基于多项式逼近的电力系统惯性常数估计的改进方法

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Installation of phasor measurement units (PMUs) in a number of Iranian power grid substations has offered a set of precise and coherent information of system quantities, specially at event times. Inertia constant of a power grid is one of the criteria of system stability and is a basis for scheduling of spinning-reserve support generators. Estimation of grid inertia constant necessitates precise information of system frequency at the occurrence of generation rejection or load loss events. This paper presents an improved method based on polynomial approximation for calculation of inertia constant. The power system representative model changes at the events of generation rejection or load loss due to responses of generation units to frequency variations. The proposed method takes into account the non-homogeneous nature of system at the occurrence and during an event, so that the system model variations will not deteriorate the accuracy of estimation. The proposed method is examined to estimate the inertia constant of Iranian power grid using frequency information during generation outages, recorded by PMUs. Experimental results reveal that the new method is more robust compared to existing ones and significantly reduces the sensitivity of derived values to two hazy factors which are the exact event time and the polynomial order of the approximation.
机译:在许多伊朗电网变电站中安装相量测量单位(PMU)已经提供了一套精确和相干的系统数量,特别是在事件时间。电网的惯性常数是系统稳定性的标准之一,是调度纺纱储备支撑发电机的基础。估计网格惯性恒定需要在产生抑制或负载损耗事件的发生时系统频率的精确信息。本文提出了一种基于多项式近似的改进方法,用于计算惯性恒定。由于生成单元的响应到频率变化,电力系统代表模型改变了产生抑制或负载损失的事件。所提出的方法考虑了在发生和事件期间系统的非均匀性质,因此系统模型变化不会劣化估计的准确性。考虑了所提出的方法,以利用由PMU记录的生成中断期间使用频率信息来估计伊朗电网的惯性常数。实验结果表明,与现有的方法相比,新方法更加强大,并且显着降低了导出值的灵敏度,这是两个朦胧因素,这是近似的确切事件时间和多项式顺序。

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