Improved performance of a shunt hybrid active power filter by a robust exponential functional link network-based nonlinear adaptive filter control to enhance power quality

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-08-01 DOI:10.1016/j.isatra.2024.05.036
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Abstract

This research article details the design and implementation of a nonlinear adaptive filtering (NAF) technique using an exponential functional link network (EFLN) for a shunt hybrid active power filter (SHAPF) control to solve the current-associated power quality issues on the utility side at the distribution level of electrical power systems. Separation of the fundamental component from the harmonics, achieving unity power factor operation, reducing the reactive power drawn from the source, balancing the currents during transients, and reduction of total harmonic distortion (THD) of the source current are the issues considered to resolve. The proposed technique solves these issues by generating the sinusoidal reference current and separating the fundamental current from the harmonics. When compared to conventional and existing adaptive filtering techniques such as least mean square (LMS), least mean fourth (LMF), and variable step size LMS (VSS-LMS), the proposed EFLN-NAF method excels in terms of speedy convergence, adaptability in noise-specific environments and reduced steady-state coefficient error. MATLAB/Simulink software is utilized to perform the simulations to examine the suggested strategy for the chosen SHAPF topology both in static and dynamic scenarios. For a 15 kW and 3kVAr requirement of the nonlinear load, simulation results proved that the designed PPF for 2kVAr is able to share the reactive power with the APF, thereby reducing its rating and cost. The proposed method of filtering has been proven to be fast converging with 0.049 s, and the THD in steady state is brought to 1.32 % in steady-state and to 3.77 % during transient conditions, which are under standard limits. A hardware prototype of the experimental setup is constructed at the laboratory scale with OPAL-RT (OP4510) as the controller. With an active and reactive power demand of 1.1 kW and 210VAr, the designed PPF supplies 110 VAr, whereas the rest is supplied by the APF. The practical THD in source current is observed to be 2.081 %, which meets the standards. The results from both simulations and experiments are validated, and the efficacy of the proposed technique in mitigating the aforementioned power quality issues is proved.

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通过基于稳健指数函数链路网络的非线性自适应滤波器控制,改善并联混合有源电力滤波器的性能,从而提高电能质量
本文详细介绍了一种非线性自适应滤波(NAF)技术的设计和实施,该技术采用指数函数链路网络(EFLN)进行并联混合有源电力滤波器(SHAPF)控制,以解决电力系统配电级公用事业侧与电流相关的电能质量问题。要解决的问题包括:从谐波中分离出基波分量、实现统一功率因数运行、减少从源头汲取的无功功率、平衡瞬态期间的电流以及降低源电流的总谐波失真 (THD)。所提出的技术通过产生正弦参考电流并将基波电流与谐波电流分离来解决这些问题。与传统和现有的自适应滤波技术(如最小均方(LMS)、最小均四次(LMF)和可变步长 LMS(VSS-LMS))相比,所提出的 EFLN-NAF 方法在快速收敛、适应特定噪声环境和减少稳态系数误差等方面表现出色。我们使用 MATLAB/Simulink 软件进行仿真,以检验在静态和动态情况下针对所选 SHAPF 拓扑所建议的策略。对于 15 kW 和 3kVAr 的非线性负载要求,仿真结果证明,设计的 2kVAr PPF 能够与 APF 分享无功功率,从而降低其额定值和成本。事实证明,所提出的滤波方法收敛速度快,仅需 0.049 秒,稳态总谐波失真(THD)在稳态时降至 1.32%,在瞬态时降至 3.77%,均在标准限制范围内。实验装置的硬件原型是在实验室规模下构建的,控制器为 OPAL-RT (OP4510)。有功和无功功率需求分别为 1.1 kW 和 210VAr,设计的 PPF 提供 110 VAr,其余由 APF 提供。源电流的实际总谐波失真为 2.081%,符合标准。仿真和实验结果都得到了验证,证明了所提技术在缓解上述电能质量问题方面的功效。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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