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Modeling Electromechanical Overcurrent Relays Using Singular Value Decomposition

机译:使用奇异值分解建模机电过流继电器

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摘要

This paper presents a practical and effective novel approach to curve fit electromechanical (EM) overcurrent (OC) relay characteristics. Based on singular value decomposition (SVD), the curves are fitted with equation in state space under modal coordinates. The relationships between transfer function and Markov parameters are adopted in this research to represent the characteristic curves of EM OC relays. This study applies the proposed method to two EM OC relays: the GE IAC51 relay with moderately inverse-time characteristic and the ABB CO-8 relay with inverse-time characteristic. The maximum absolute values of errors of hundreds of sample points taken from four time dial settings (TDS) for each relay between the actual characteristic curves and the corresponding values from the curve-fitting equations are within the range of 10 milliseconds. Finally, this study compares the SVD with the adaptive network and fuzzy inference system (ANFIS) to demonstrate its accuracy and identification robustness.
机译:本文介绍了一种实用且有效的新颖方法来曲线拟合机电(EM)过电流(OC)继电器特性。基于奇异值分解(SVD),在模态坐标下,曲线配有状态空间中的方程。在该研究中采用传递函数和马尔可夫参数之间的关系来表示EM OC继电器的特征曲线。本研究将所提出的方法应用于两个EM OC继电器:GE IAC51中继采用中等逆时间特性和具有逆时间特性的ABB CO-8继电器。对于来自曲线拟合方程之间的每个继电器的四个时间拨号设置(TDS)的数百个采样点的最大绝对值在10毫秒的范围内。最后,该研究将SVD与自适应网络和模糊推理系统(ANFIS)进行了比较,以展示其准确性和识别稳健性。

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