Regulation and classification of voltage dips

Weldemariam, L.E.; Ćuk, V.; Cobben, J.F.G.; Waes, J.B.M. van

doi:10.1049/oap-cired.2017.0734

Cited by 12 publications

(6 citation statements)

References 3 publications

(5 reference statements)

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“…Given the above, the importance and the need for regulating through normative documents the STVVs are recognized. Some standards define this phenomenon according to its magnitude level and duration, such as the IEEE 1159 [8], IEC 61000-2-8 [16], EN 50160 [17], among others [18]. In addition, other guidelines quantify STVV events to meet power quality supply standards.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Assigning Responsibilities of Short-Term Voltage Variations in Electrical Power Systems

et al. 2023

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Short-term voltage variations (STVVs) are phenomena manifested as voltage sags, voltage swells, or interruptions lasting up to 1 minute. Despite their short duration, they greatly influence the operations of loads. In fact, residential, commercial, and industrial consumers can be strongly affected when facing supply discontinuities, loss of production, physical damages, and other issues. Under such circumstances, conflicts may arise between suppliers and consumers. Thus, a strategy that identifies whether the STVV phenomenon was produced upstream or downstream of a given point of common coupling between two agents interconnected by a transformer is proposed in this paper. The methodology is based on the transference mechanism of imbalance indicators through this connecting transformer. The current process is not about determining the physical location of the disturbance in the network but only about establishing the responsibility for the disturbance. The effectiveness of the process is determined through computational and experimental studies, for which typical electrical systems are employed. To this end, unbalanced STVVs are imposed on these systems, and the voltage and current imbalance levels on the primary and secondary sides of transformers are correlated to validate the proposal.

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Section: Introductionmentioning

confidence: 99%

An Approach for Assigning Responsibilities of Short-Term Voltage Variations in Electrical Power Systems

et al. 2023

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“…The quality standards of electricity in public networks are defined in the European standard EN 50160 [1]. These standards define such parameters as: frequency and voltage value [2], rapid voltage changes "flicker" [3], voltage dips and swells [4], voltage asymmetry [5], and short and long power interruptions. The area that the authors focus on is power interruptions.…”

Section: Introduction 1quality Standards Of Electricitymentioning

confidence: 99%

Battery Energy Storage System for Emergency Supply and Improved Reliability of Power Networks

et al. 2021

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This paper introduces the concept of a battery energy storage system as an emergency power supply for a separated power network, with the possibility of island operation for a power substation with one-side supply. This system, with an appropriately sized energy storage capacity, allows improvement in the continuity of the power supply and increases the reliability of the separated network at a specified time during the limitation of power transmission as a result of damage or disconnection of the main power line. This paper presents and describes a specific method of energy storage system dimensioning based on real measurement data. Based on the obtained parameters, an analysis of the reliability improvement of the considered network was performed. The implementation of the battery energy storage system will contribute to a more than 5-fold reduction in the occurrence of power outages in the time interval from 3 min to 1.5 h, which will clearly reduce the System Average Interruption Frequency Index and System Average Interruption Duration Index factors. In this paper, the network conditions for operational normality and failure are presented and the cost for implementation of an energy storage system (about EUR 1 million) is compared with the possible implementation of an additional power line (about EUR 5 million) to a specific power substation.

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“…According to the statistics of the Taiwan Power Company, each voltage sag caused an economic loss of about a hundred thousand to one million dollars US dollars to the Hsinchu Science Park in Taiwan. The occurrence of voltage sags leads directly to productivity and product quality declines in enterprises and increased costs, affecting people's normal life and causing huge economic 2 of 15 losses to society [4][5][6]. Therefore, it is necessary to take corresponding action to reduce the impact of voltage sags.…”

Section: Introductionmentioning

confidence: 99%

Identification Method for Voltage Sags Based on K-means-Singular Value Decomposition and Least Squares Support Vector Machine

et al. 2019

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Voltage sag is one of the most serious problems in power quality. The occurrence of voltage sag will lead to a huge loss in the social economy and have a serious effect on people’s daily life. The identification of sag types is the basis for solving the problem and ensuring the safe grid operation. Therefore, with the measured data uploaded by the sag monitoring system, this paper proposes a sag type identification algorithm based on K-means-Singular Value Decomposition (K-SVD) and Least Squares Support Vector Machine (LS-SVM). Firstly; each phase of the sag sample RMS data is sparsely coded by the K-SVD algorithm and the sparse coding information of each phase data is used as the feature matrix of the sag sample. Then the LS-SVM classifier is used to identify the sag type. This method not only works without any dependence on the sag data feature extraction by artificial ways, but can also judge the short-circuit fault phase, providing more effective information for the repair of grid faults. Finally, based on a comparison with existing methods, the accuracy advantages of the proposed algorithm with be presented.

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Regulation and classification of voltage dips

Cited by 12 publications

References 3 publications

An Approach for Assigning Responsibilities of Short-Term Voltage Variations in Electrical Power Systems

An Approach for Assigning Responsibilities of Short-Term Voltage Variations in Electrical Power Systems

Battery Energy Storage System for Emergency Supply and Improved Reliability of Power Networks

Identification Method for Voltage Sags Based on K-means-Singular Value Decomposition and Least Squares Support Vector Machine

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