Adaptive power system hybrid state estimation

Manikandan Padmanaban, A. Sinha
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引用次数: 2

Abstract

This paper presents a method for real time adaptive hybrid state estimation of the power system states using the SCADA as well as limited synchronous phasor measurements. The proposed method can track the power system dynamics by periodically updating the sensitivities to the unobservable buses during the intervals between successive outputs of state estimator with SCADA measurements. The performance of the proposed method is evaluated on a number of standard test systems for different sets of un-observability. Simulation result shows that the proposed method can track the electromechanical dynamics of the system during the large disturbances in the system, it also improves the accuracy of the estimates and enhances the numerical stability of the estimation.
自适应电力系统混合状态估计
提出了一种利用SCADA和有限同步相量测量对电力系统状态进行实时自适应混合状态估计的方法。该方法利用SCADA测量值在状态估计器连续输出的间隔时间内周期性地更新对不可观测母线的灵敏度,从而实现对电力系统动态的跟踪。针对不同的不可观测集,在多个标准测试系统上对所提方法的性能进行了评估。仿真结果表明,该方法能够在系统存在较大扰动时跟踪系统的机电动力学,提高了估计的精度,增强了估计的数值稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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