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

M. Shamirzaee, H. Ayoubzadeh, D. Farokhzad, F. Aminifar, H. Haeri
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引用次数: 15

Abstract

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.
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一种改进的基于多项式逼近的电力系统惯性常数估计方法
在一些伊朗电网变电站安装相量测量单元(pmu)提供了一套精确和连贯的系统量信息,特别是在事件发生时。电网的惯性常数是系统稳定性的判据之一,是旋备支援发电机调度的依据。电网惯性常数的估计需要精确的系统频率信息,当发生弃电或负荷损失事件时。本文提出了一种改进的基于多项式近似的惯性常数计算方法。由于发电机组对频率变化的响应,当发生弃电或负荷损失时,电力系统的代表性模型发生了变化。该方法考虑了系统在事件发生时和事件发生过程中的非同质性,使得系统模型的变化不会影响估计的准确性。研究了该方法利用pmu记录的发电中断时的频率信息估计伊朗电网的惯性常数。实验结果表明,与现有方法相比,新方法具有更强的鲁棒性,并显著降低了导出值对精确事件时间和近似多项式阶数两个模糊因素的敏感性。
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