A New Application of Forensic-Based Investigation Optimizer for Parameter Identification of Transformer

Heba Youssef, S. Kamel, Mohamed H. Hassan
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引用次数: 2

Abstract

In this article, a new optimization technique called the Forensic-Based Investigation (FBI) Algorithm is applied for evaluating the parameters of single phase power transformers. The reports of the manufacturer's operation are used for the evaluation process. In this paper, the procedure of identifying the equivalent circuit parameters for the single transformer is based on the load test data in terms of input voltage, input power and load current. The main objective function of this study is proposed for reducing the error between the actual and the estimated parameters obtained using the proposed FBI algorithm. Further, the Forensic-Based Investigation algorithm is compared with PSO and jellyfish search (JS) optimizer algorithm. The results show that the proposed FBI technique has the best performance including the stability, superiority and convergence rapidly to solve the problem of the optimal parameters in single phase transformers compared with the PSO and JS algorithms.
基于取证的调查优化器在变压器参数识别中的新应用
本文将一种新的优化技术——基于取证的调查算法(FBI)应用于单相电力变压器的参数评估。制造商的操作报告用于评估过程。本文根据输入电压、输入功率和负载电流的负载试验数据,确定了单台变压器等效电路参数的过程。本文提出的主要目标函数是减小使用所提出的FBI算法得到的实际参数与估计参数之间的误差。进一步,将基于取证的调查算法与粒子群算法和水母搜索优化算法进行了比较。结果表明,与PSO和JS算法相比,所提出的FBI算法在解决单相变压器最优参数问题上具有稳定性、优越性和快速收敛性。
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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