A Precise Model of DC-Link Current in Adjustable Speed Drives for the Harmonic Analysis of Electrical Networks

Moradi, Arash; Yaghoobi, Jalil; Zare, Firuz

doi:10.1109/access.2022.3170412

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…To achieve this goal, manufacturers seek accurate models to assess ASD harmonics in accordance with current and future standards. The study in [40] presents the development of a novel mathematical model for the estimation of the inverter-side current harmonics flowing across the DC-link in an ASD considering the voltage harmonic impacts. When determining the current harmonics at the load side of the ASD, this model is implemented by considering an accurate model of voltage ripples over the DC-link.…”

Section: A Parametric Harmonic Estimation Methodsmentioning

confidence: 99%

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

et al. 2023

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Modern industrial and commercial devices that are fed by power electronics circuits and behave non-linearly tend to produce power quality issues in power systems including harmonics and interharmonics, swell, flicker, spikes, notches, and transient instabilities. Among them, harmonic emission is the most significant challenge to be overcome by the distribution networks. Unwanted current, overheating motors and transformers, equipment failure, and circuit breaker misoperation are some of the harmonic consequences. While it is important to employ the best methods to mitigate or suppress the harmonic distortions in power systems, it is even more essential to estimate these harmonics at the outset by developing smart, efficient, and accurate techniques. Due to their capability for learning, predicting, and identifying, researchers have turned to Artificial Intelligence technologies for harmonic estimation in distribution networks. Although the power system parameters (impedance/admittance model) and many harmonic monitors are prerequisites for traditional harmonic estimation methods, by utilizing Artificial Intelligence, these requirements are minimized. In this paper, a comprehensive review of traditional and modern (smart) harmonic estimation techniques are discussed.

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Section: A Parametric Harmonic Estimation Methodsmentioning

confidence: 99%

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

et al. 2023

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The Influence of Background Voltage Interharmonics on Amplifying Current Distortions in Distribution Networks

Moradi

Zare

Kumar

et al. 2022

2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

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A Review of Harmonic Detection, Suppression, Aggregation, and Estimation Techniques

Daniel,

Kütt,

Iqbal

et al. 2024

Applied Sciences

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The rapid growth of power electronics-based devices, such as electric vehicles and renewable energy systems, has introduced nonlinear components into power systems, generating high-frequency harmonics that distort current and voltage waveforms. These distortions pose significant risks to the stability of power grids, potentially leading to equipment malfunctions, reduced efficiency, and even system failures. To address these challenges, advanced harmonic detection, suppression, and estimation techniques are required to ensure the reliable operation of modern power systems. This paper comprehensively reviews the most widely used methods for managing harmonic distortions, focusing on recent harmonic detection, suppression, and estimation advancements. Key techniques, such as Fourier analysis and wavelet transforms, are compared alongside emerging machine learning-based approaches and adaptive filtering methods, which offer enhanced accuracy in real-time and dynamic environments. Additionally, advancements in harmonic suppression technologies, including passive, active, and hybrid filtering, are discussed for their effectiveness in mitigating harmonic impacts. Furthermore, the paper explores harmonic aggregation techniques that assess the cumulative impact of multiple harmonic sources and innovative estimation models that improve harmonic quantification under complex grid conditions. With the growing integration of renewable energy and electric vehicles, this review highlights the importance of advanced harmonic management strategies to ensure the safety, efficiency, and long-term stability of power systems.

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A Precise Model of DC-Link Current in Adjustable Speed Drives for the Harmonic Analysis of Electrical Networks

Cited by 4 publications

References 29 publications

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

The Influence of Background Voltage Interharmonics on Amplifying Current Distortions in Distribution Networks

A Review of Harmonic Detection, Suppression, Aggregation, and Estimation Techniques

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