基于Rao-I算法的短传输线参数估计

Abdullah Shoukat, Muhammad Ali Mughal, Sadiq Ahmad, Saifullah Younus Gondal, Saad Salman Khan
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引用次数: 5

摘要

在电力系统中,输电线路是将电力从发电端传输到配电端的关键部件,具有十分重要的地位。对输电线路进行运行、控制和保护方案设计等重要操作,需要准确地了解输电线路的参数。在本研究工作中,提出了一种利用输电线两端的输入和输出测量值,如电压、电流和功率因数来估计输电线模型的输电线参数的技术。利用无隐喻优化算法建立误差最小化目标函数,利用Rao-I算法对短传输线进行参数辨识。通过顺遗传轨迹所描述的估计参数显示出相当高的准确性,并且与实际线参数更接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameter Estimation of Short Transmission Line Using Rao-I Algorithm
In an electrical power system, the transmission line has great importance and act as the key component to transmit power from generation end to distribution end. Accurate knowledge about the transmission line parameters is required to implement the important actions related to operation, control and the design of protection schemes for the power transmission lines. In this research work a technique for the estimation of transmission line parameters of a short line model is presented using the input and output measurements of the line e.g., voltages, currents and power factor measured at both sides of transmission line. By formulating an error minimizing obj ective function using a metaphor-less optimization algorithm, the Rao-I is used to identify the parameters of short transmission line. The estimated parameters showed substantial accuracy depicted by the paraenetic traj ectories and have greater closeness with the actual line parameters.
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