A Review of Methods Employed to Identify Flicker Producing Sources

Inamdar, Jeevan J.; Annapoorani, K. Iyswarya

doi:10.12928/telkomnika.v16i2.6678

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…The main purpose for this naming is to get free of routing in network layer in order to avoid unnecessary energy consumption. Rumor algorithm [7] is another flat routing which is designed to work in sensor networks. Rumor algorithm is modified version of Direct Diffusion.…”

Section: Literature Reviewmentioning

confidence: 99%

Address-light and energy aware routing protocol for wireless sensor network

Hamdollah

2019

TELKOMNIKA

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In recent years, sensor networks applications were used in many criteria. Because of its vast applications, so many researchers studied these networks. Wireless sensor networks contain significant number of sensor nodes; they are suitable medium for collecting and sending data or informing the sink about an event. This study presents a new integrated method for routing in sensor networks which is based on remaining energy of the nodes and existing space between each node and the sink. This method is more suitable for large and medium volume of data. Lifetime enhancement of the network is the main purpose of this method which is obtained by fair division of nodes roles in transmission of data to the sink. In ALERP algorithm (Address Light, Label-Based and Energy-Aware Routing Protocol), in order to reduce network overload and energy consuming as well as enhancement of network lifetime, we used predetermined routes as well as routing based on packet labels. Energy consumption in the entire network is another advantage of this method. The existence of various parameters on this algorithm will lead to more flexibility of it. Generally, conducted simulations indicate higher uniformity in energy consumption of nodes.

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Section: Literature Reviewmentioning

confidence: 99%

Address-light and energy aware routing protocol for wireless sensor network

Hamdollah

2019

TELKOMNIKA

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“…In addition, Wiczyński [14] conducts research to locate voltage fluctuations using enhanced empirical wavelet transform [15]. Although the enhanced empirical wavelet transform can effectively extract voltage fluctuation signals, the frequency of state changes of individual voltage fluctuation sources may be incorrectly estimated during the extraction process, which in turn affects the accuracy of voltage fluctuation location.…”

Section: Introductionmentioning

confidence: 99%

A Flicker Source Location Method Based on Wide-Area Information

Wei¹,

Li²,

Xu³

et al. 2022

J. Phys.: Conf. Ser.

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The voltage fluctuation and flicker level are important indicators for evaluating power quality. Correct identification of flicker sources can effectively help to improve power quality. To solve the problems of insufficient accuracy and lack of propagation path analysis in current flicker source location research, a flicker source location method based on wide-area information is proposed. Based on the frequency-amplitude binary characterization, the main components of the voltage data from each bus node are used to determine the main frequency of the voltage fluctuation. By comprehensively comparing the voltage data of each node at the main frequency, the flicker source can be located. Simulations in PSCAD/EMTDC verify that the flicker source in the regional power grid is accurately detected and the flicker propagation path is identified by the proposed method.

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“…Often, a multi-step iterative process is required to locate the dominant source of voltage fluctuations in the power grid. Multiplepoint methods are characterized by greater diagnostic possibilities, which with the use of simultaneous measurements in the power grid allow one to determine the point of supply of the main source of disturbances in one step [16][17][18][19][20]27,28]. If many disturbance sources occur, then the identification of individual disturbing loads on the basis of one period of simultaneous measurements is possible only after eliminating the main source of disturbances.…”

Section: Introductionmentioning

confidence: 99%

Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids

Kuwałek¹

2021

Energies

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The current study presents a novel approach to the selective identification and localization of voltage fluctuation sources in power grids, considering individual disturbing loads changing their state with a frequency of up to 150 Hz. The implementation of the proposed approach in the existing infrastructure of smart metering allows for the identification and localization of the individual sources of disturbances in real time. The proposed approach first performs the estimation of the modulation signal using a carrier signal estimator, which allows for a modulation signal with a frequency greater than the power frequency to be estimated. In the next step, the estimated modulating signal is decomposed into component signals associated with individual sources of voltage fluctuations using an enhanced empirical wavelet transform. In the last step, a statistical evaluation of the propagation of component signals with a comparable fundamental frequency is performed, which allows for the supply point of a particular disturbing load to be determined. The proposed approach is verified in numerical simulation studies using MATLAB/SIMULINK and in experimental studies carried out in a real low-voltage power grid. The research carried out shows that the proposed approach allows for the selective identification and localization of voltage fluctuation sources changing their state with a frequency of up to 150 Hz, unlike other methods currently used in practice.

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A Review of Methods Employed to Identify Flicker Producing Sources

Cited by 7 publications

References 17 publications

Address-light and energy aware routing protocol for wireless sensor network

Address-light and energy aware routing protocol for wireless sensor network

A Flicker Source Location Method Based on Wide-Area Information

Selective Identification and Localization of Voltage Fluctuation Sources in Power Grids

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