Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics

Sierra-Fernández, José María; Rönnberg, Sarah; Rosa, Juan-José González de la; Bollen, M.H.J.; Palomares-Salas, José Carlos

doi:10.3390/en12010194

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…The newer type of voltage and current transducers are needed to monitor at least 40th Harmonic [35]. The analysis of some of the Power quality monitoring systems is presented in [36][37][38]. [40][41][42].…”

Section: Power Quality Monitring Methodsmentioning

confidence: 99%

Novel Approach to Monitoring and Mitigating Power Quality Disturbances in Hybrid Renewable Energy System

Shah¹,

Hellany²,

Nagrial³

et al. 2022

REPQJ

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Renewable energy sources are continually increasing their share in the energy system. The introduction of Hybrid Renewable Energy Sources (H.R.E.S.) in the electrical power system has gained momentum. The increased share of Renewable sources has resulted in an increase in Power Quality (P.Q.) disturbances at the user and consumer levels. This research will engineers dedicate the P.Q. disturbances produced in the electrical system due to Hybrid Renewable energy sources, especially solar and wind. The research will predict what type of P.Q. disturbances are introduced during power production. The study will focus on a stand-alone Hybrid Renewable Energy System (H.R.E.S.). The energy system data will be collected and used to produce a Fuzzy Logic (F.L.) algorithm to improve the mitigating techniques to reduce P.Q. disturbances. The suggested algorithm analyzes the stored and continuous data from different sources. The data will be collected and used to drive the hardware to take appropriate actions at the mitigation level. The hardware used in the system consists of a Multiplexer (MUX) and different types of filters. The output of the multiplexer chooses the filters. The algorithm will improve the system's efficiency and help the designers improve the system's design capabilities. The monitoring system will help predict what type of P.Q. disturbances are produced when different energy sources are used to produce power. The proposed system monitors these P.Q. disturbances and classifies them according to their severity.

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Section: Power Quality Monitring Methodsmentioning

confidence: 99%

Novel Approach to Monitoring and Mitigating Power Quality Disturbances in Hybrid Renewable Energy System

Shah¹,

Hellany²,

Nagrial³

et al. 2022

REPQJ

View full text Add to dashboard Cite

show abstract

“…This is because many of the detection methods for PQ disturbances require collaborative computing. Those articles that only employ frequency domain tend to use simpler techniques, such as THD [19,26,66,67] or DFT [68][69][70].…”

Section: Figurementioning

confidence: 99%

Current Status and Future Trends of Power Quality Analysis

et al. 2022

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In this article, a systematic literature review of 153 articles on power quality analysis in PV systems published in the last 20 years is presented. This provides readers with an overview on PQ trends in several fields related to instrumental techniques that are being used in the smart grid to visualize the quality of the energy, establishing a solid literature base from which to start future research. A preliminary appreciation allows us to intuit that higher-order statistics are not implemented in measurement equipment and that traditional instrumentation is still used for the performance of measurement campaigns, not yielding the expected results since the information processed does not come from an electrical network from 20 years ago. Instead, current networks contain numerous coupled load effects; thus, new disturbances are not simple; they are usually complex events, the sum of several types of disturbances. Likewise, depending on the type of installation, the objective of the PQ analysis changes, either by detecting certain events or simply focusing on seeing the state of the network.

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“…The work by Sierra-Fernández et al "Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems' Harmonics" [3] shows how higher-order statistics (HOS) in the frequency domain enhance the detection of electrical disturbances, more precisely, low-level harmonics not detected with the traditional power spectrum. An estimator of the spectral kurtosis (SK) was used to assess the amplitude trends of each spectral component.…”

Section: A Short Review Of the Contributions In This Issuementioning

confidence: 99%

Special Issue “Analysis for Power Quality Monitoring”

de-la-Rosa

Pérez-Donsión

2020

Energies

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We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. As a consequence, numerous emerging words are relevant to this point: Internet of Things (IoT), big data, smart cities, smart grid, industry 4.0, etc. To achieve this formidable goal, systems should work more efficiently, a fact that inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines and, consequently, for people. Many researchers are endeavouring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book, and its associated Special Issue, offer a compilation of some of the recent advances in this field. The chapters range from computing to technological implementation, going through event detection strategies and new indices and measurement methods that contribute significantly to the advance of PQ analysis and regulation. Experiments have been developed within the frameworks of research units and projects and deal with real data from industry practice and public buildings. Human beings have an unavoidable commitment to sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.

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Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics

Cited by 8 publications

References 20 publications

Novel Approach to Monitoring and Mitigating Power Quality Disturbances in Hybrid Renewable Energy System

Novel Approach to Monitoring and Mitigating Power Quality Disturbances in Hybrid Renewable Energy System

Current Status and Future Trends of Power Quality Analysis

Special Issue “Analysis for Power Quality Monitoring”

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