混合间接矩阵变换器与飞电容三电平逆变器在电力有源滤波中的应用

IF 1 Q3 MULTIDISCIPLINARY SCIENCES gazi university journal of science Pub Date : 2023-09-01 DOI:10.35378/gujs.1001559
Taki Eddine AMEUR, Aissa AMEUR, Benalia ATALLAH
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引用次数: 0

摘要

本文主要研究利用神经网络的模糊控制器来实现对配电网中电能质量改善的电力电子系统的控制。介绍了一种模糊PI控制器增益的优化方法,以改善飞电容三电平逆变器(HIMC)的混合间接矩阵变换器的控制,并通过RL滤波器与电网(PG)连接。利用人工神经网络(ANN)识别谐波。通过MATLAB/Simulink (Simscap, simpower blocks)的仿真结果表明了该方法的有效性。
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ANN Identification technique and fuzzy PI Control of a Hybrid Indirect Matrix Converter with a Flying Capacitor three level Inverter in Power Active Filtering Application
The current paper is concerned with fuzzy controllers employing neural networks to implement control over power electronics systems committed to power quality improvement in a distribution grid. An optimization method technique for tuning fuzzy PI controller gains is introduced to improve a Hybrid Indirect Matrix Converter's control with a flying capacitor three-level inverter (HIMC), and it is connected via an RL filter to the power grid (PG). The harmonics are identified by an Artificial Neural Network (ANN). The effectiveness of this method is shown in the simulation results by MATLAB/Simulink ( Simscap, simpower blocks).
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来源期刊
gazi university journal of science
gazi university journal of science MULTIDISCIPLINARY SCIENCES-
CiteScore
1.60
自引率
11.10%
发文量
87
期刊介绍: The scope of the “Gazi University Journal of Science” comprises such as original research on all aspects of basic science, engineering and technology. Original research results, scientific reviews and short communication notes in various fields of science and technology are considered for publication. The publication language of the journal is English. Manuscripts previously published in another journal are not accepted. Manuscripts with a suitable balance of practice and theory are preferred. A review article is expected to give in-depth information and satisfying evaluation of a specific scientific or technologic subject, supported with an extensive list of sources. Short communication notes prepared by researchers who would like to share the first outcomes of their on-going, original research work are welcome.
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