A High-Speed Master-Slave ADALINE for Accurate Power System Harmonic and Inter-Harmonic Estimation

Garanayak, Priyabrat; Naayagi, R. T.; Panda, Gayadhar

doi:10.1109/access.2020.2980115

Cited by 22 publications

(7 citation statements)

References 29 publications

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“…These initial weights are initialized randomly. until least mean square error is obtained [31], [121], [122] The weights are updated using following equation,…”

Section: ) Adaptive Linear Element (Adaline) Control Theorymentioning

confidence: 99%

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Chawda

Shaik

Mahela³

et al. 2020

IEEE Access

112

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Rapid industrialization and its automation on the globe demands increased generation of electrical energy with more reliability and quality. Renewable energy (RE) sources are considered as a green form of energy and extensively used as an alternative source of energy for conventional energy sources to meet the increased demand for electrical power. However, these sources, when integrated to the utility grid, pose challenges in maintaining the power quality (PQ) and stability of the power system network. This is due to the unpredictable and variable nature of generation by these sources. The distributed flexible AC transmission system (DFACTS) devices such as distributed static compensator (DSTATCOM) and dynamic voltage restorer (DVR) play an active role in mitigating PQ issues associated with RE penetration. The performance of DFACTS devices is mostly dependent on the type of control algorithms employed for switching of these devices. This paper presents a comprehensive review of various conventional and adaptive algorithms used to control DFACTS devices for improvement of power quality in utility grids with RE penetration. This review intends to provide a summary of the design, experimental hardware, performance and feasibility aspects of these algorithms reported in the literature. More than 170 research publications are critically reviewed, classified, and listed for quick reference for the advantage of engineers and academician working in this area. INDEX TERMS Adaptive control algorithm, conventional control algorithm, DFACTS device, modern utility grid, power quality, renewable energy source. ABBREVIATIONS 3P4W Three phase four wire 3P3W Three phase three wire ABT Admittance based theory ACA Adaptive control algorithm ADALINE Adaptive linear element theory ALMS Adaptive least mean square ANF Adaptive notch filter ANFIS Adaptive neuro-fuzzy inference system ARLS Adaptive recursive least square CCA Conventional control algorithm DFACTS Distributed flexible AC transmission system DSP Digital signal processing DSSSC Distributed static synchronous series compensator DSSC Distributed static series compensator DSTATCOM Distributed static compensator DSVC Distributed static var compensator DTCSC Distributed thyristor controlled series

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“…These initial weights are initialized randomly. until least mean square error is obtained [31], [121], [122] The weights are updated using following equation,…”

Section: ) Adaptive Linear Element (Adaline) Control Theorymentioning

confidence: 99%

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Chawda

Shaik

Mahela³

et al. 2020

IEEE Access

112

View full text Add to dashboard Cite

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“…For quick and precise measurement of the fundamental, harmonics, subharmonics, interharmonics, and decaying DC components of a distorted current signal with noises, [89] introduces a novel two-fold ADALINE neural network technique. For weight vector adjustment, the Slave-ADALINE uses the least mean square (LMS) method with a fixed and big step-size.…”

Section: B Artificial Intelligence-based Harmonic Estimation Techniquesmentioning

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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“…For the estimation of harmonic and interharmonic components in power systems, a novel technique using a high-speed digital signal processor (DSP) and Multi-Stage ADALINE is performed [14]. The experimental setup includes current probes, amplifiers, a DSO, and a PC.…”

Section: Literature Overviewmentioning

confidence: 99%

A Conspectus of PQD Analysis

Akkaya

2023

ICAENS

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The sustainability of a stable voltage with consistent amplitude and frequency is paramount for power systems. Various standards, including IEC 61000-4-7, -15, and -30, and IEEE 1159, 1459, address power quality disturbances (PQDs). These standards establish rules and limitations for different voltage parameter values to ensure power system stability. Nevertheless, disturbances in the electrical power systems can cause fluctuations in voltage amplitude and fundamental frequency. These disturbances, such as sag, flicker, interruption, harmonics, swell, and interharmonics, may emerge in different combinations, yielding unpredictable and variable effects on the system components. Hence, conducting a comprehensive analysis and examination of these disturbances is crucial. Studying PQDs faces challenges in obtaining real datasets due to the randomness of power system events. As a result, there is an increasing need for experimental investigations to explore the complexities of these disturbances. The objective of this paper is to assist and enrich research on PQDs by delivering some knowledge of data and experimental arrangements. This paper will make easy further examination and exploration of PQDs. This will empower researchers to acquire profound understandings and devise efficient approaches to tackle these matters, contributing to improved power system performance.

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A High-Speed Master-Slave ADALINE for Accurate Power System Harmonic and Inter-Harmonic Estimation

Cited by 22 publications

References 29 publications

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

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

A Conspectus of PQD Analysis

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