开发基于功能神经网络的改进型自回归模型以改善电能质量

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Alka Singh, Srishti Singh
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引用次数: 0

摘要

本文介绍了基于功能神经网络和自回归(FNNAR)分析的两个改进型自适应模型。这些模型用于估算非线性和变化负载电流的基本分量,并计算配电系统所需的精确补偿。拟议的 FNNAR 分析包括两个步骤:第一步旨在根据多项式或三角函数扩展项估算基本电流;第二步则根据延迟输出项的加权和进行计算。此外,还加入了激活函数,以考虑负载电流的非线性和突变。这两种 FNNAR 模型都是根据输入输出数据以自适应方式开发和计算参数的。在单相 110 V、50 Hz 系统配电系统上的模拟结果通过一个按比例缩小的实验模型进行了验证,该模型显示了描述负载补偿的硬件结果。文中还讨论了两个已开发模型与传统算法的两个先进变体(即最小均方算法和基于二阶广义积分器的滤波技术)之间的充分比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of improved functional neural network based autoregression models for power quality improvement

Development of improved functional neural network based autoregression models for power quality improvement

This paper presents two improved and adaptive models based on functional neural network and Autoregression (FNNAR) analysis. These models have been developed for estimating the fundamental component of nonlinear and varying load current and computing the exact compensation required in a power distribution system. The proposed FNNAR analysis involves two steps: The first step is designed to estimate the fundamental current in terms of polynomial or trigonometric functional expansion terms; while, the second step involves computations based on the weighted sum of the delayed output terms. An activation function is additionally incorporated to account for the nonlinearity and sudden variations of load current. Both the FNNAR models are developed and their parameters computed in an adaptive manner from the input–output data. The simulation results on a single-phase 110 V, 50 Hz system power distribution system are validated by a scaled down experimental model showing hardware results depicting load compensation. Adequate comparison of the two developed models is also discussed in the paper with two advanced variants of conventional algorithms viz. Least means square algorithm and second order generalized integrator based filtering technique.

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来源期刊
Electrical Engineering
Electrical Engineering 工程技术-工程:电子与电气
CiteScore
3.60
自引率
16.70%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed. Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).
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