A Robust Asynchrophasor in PMU Using Second-Order Kalman Filter  

作　　者：Nayef Alqahtani Ali Alqahtani 

机构地区：[1]Electrical and Computer Engineering Department,School of Engineering and Computer Science,Oakland University,Rochester,MI,48326,USA [2]King Faisal University,Al-Ahsa,31982,Kingdom of Saudi Arabia [3]Department of Networks and Communications Engineering,Najran University,Najran,61441,Kingdom of Saudi Arabia

出　　处：《Computers, Materials & Continua》2023年第2期2557-2573,共17页计算机、材料和连续体（英文）

摘　　要：Phasor Measurement Units(PMUs)provide Global Positioning System(GPS)time-stamped synchronized measurements of voltage and current with the phase angle of the system at certain points along with the grid system.Those synchronized data measurements are extracted in the form of amplitude and phase from various locations of the power grid to monitor and control the power system condition.A PMU device is a crucial part of the power equipment in terms of the cost and operative point of view.However,such ongoing development and improvement to PMUs’principal work are essential to the network operators to enhance the grid quality and the operating expenses.This paper introduces a proposed method that led to lowcost and less complex techniques to optimize the performance of PMU using Second-Order Kalman Filter.It is based on the Asyncrhophasor technique resulting in a phase error minimization when receiving the signal from an access point or from the main access point.The MATLAB model has been created to implement the proposed method in the presence of Gaussian and non-Gaussian.The results have shown the proposed method which is Second-Order Kalman Filter outperforms the existing model.The results were tested usingMean Square Error(MSE).The proposed Second-Order Kalman Filter method has been replaced with a synchronization unit into thePMUstructure to clarify the significance of the proposed new PMU.

关 键 词：Distributed generation asynchrophasor kalman filter phasor estimation phasor measurement unit state variables mean square error and signal to noise ratio 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]