Adaptive overcurrent protection against ferroresonance

Rezaei, Satar

doi:10.1049/iet-gtd.2017.0651

Cited by 10 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Load demand may be met using many small Distributed Generators (DGs) that can be operated either grid connected or islanded to avoid blackout when main utility gets interrupted, thus increasing system reliability [1]. Although DGs connection to the system brings numerous benefits, it poses significant challenges such as: (i) Unforeseen increase in system short circuits, (ii) varying fault levels during different topologies due to change in sources, (iii) bidirectional power flow, lack or in some cases complete loss of coordination in the existing protection scheme leading to undesired islanding and untimely tripping of DGs protection relays, and (iv) high DGs penetration may result in the possibility of operating distribution system in islanded mode [2].…”

Section: Introductionmentioning

confidence: 99%

Adaptive overcurrent relay (AOCR) based on Fano Factors of current signals

Mahmoud

Malik

2023

The Journal of Engineering

View full text Add to dashboard Cite

A Fano Factor-based adaptive overcurrent protection scheme, that automatically adjusts the protection settings in response to the prevailing conditions of the power system, is presented. Both phase and ground overcurrent relays are based on the same mathematical algorithm to calculate the operating time using Fano Factors (FFs) estimated for phase and ground current signals, respectively. Effectiveness of the proposed adaptive overcurrent method is validated for various fault types under a plethora of loading current levels, besides a wide range of fault inception angles and fault resistance. Simulation results confirm that the proposed algorithm can detect series and shunt faults, differentiate between grounding and phase faults, and adapt the relay operating time settings using the FF for all conditions examined. The relay algorithm speed and sensitivity are controllable using both the FF setting values and moving data window size. Moreover, it is characterized by being simple, reliable, accurate, and can be implemented practically as a base of digital protective relay for use in substation automation systems and phasor measurement units.

show abstract

Section: Introductionmentioning

confidence: 99%

Adaptive overcurrent relay (AOCR) based on Fano Factors of current signals

Mahmoud

Malik

2023

The Journal of Engineering

View full text Add to dashboard Cite

show abstract

“…In Ref. [33], a fault current limiter and a ferroresonance overvoltage limiter are placed in the circuit using the DC voltage transient behavior of the network. In this paper, current and voltage faults are limited using a proposed control method.…”

Section: Introductionmentioning

confidence: 99%

A New Multifunctional Protection System for Reducing Fault Current, Ferroresonance Overvoltage, and Voltage Fluctuations in Power Networks

Bashoo

Jazaeri

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

This paper introduces a multifunctional protective system to mitigate more likely threats in power networks. The proposed device can cope with short circuit current, voltage sag, or swell and dangerous overvoltages due to ferroresonance by elaborate switching in its unified structure. The switching is in fact the main key for playing among the functions and altering the structure. Since the switches receive the control system’s commands based on what happens in the network, an intelligent controller has to be designed to interpret four operating modes and activate the correct function. Following the activation command, the structure is customized through switching action and the network is equipped with the corresponding protection function. The proposed scheme by employing minimum components and therefore achieving significant saving in costs can meet all expectations satisfactorily. Moreover, the control system’s performance is examined by a set of numerical simulations in a Matlab/Simulink environment. The obtained results show that the proposed device is feasible and successfully performs all three functions independently.

show abstract

“…Current and voltage distortions caused by ferroresonance in power systems can cause serious malfunctions in the network (Tugai, 2015, Yang et al, 2017a, Boutora & Bentarzi, 2018. To reach solutions for protection and delay from over current and voltage caused by ferroresonance, it is necessary to recognize the ferroresonance phenomenon quickly (Rezaei, 2017). In a study, the smart solid-state stress suppressor method was investigated to return the ferroresonance stress to its stabilized state (Heidary & Radmanesh, 2018).…”

Section: Introductionmentioning

confidence: 99%

Forecasting of voltage disturbances at the beginning of ferroresonance phenomena in power systems using by a new approach of long-short term memory (LSTM): LSTM for Ferroresonance in power systems

Noğay

2022

JER is an international, peer-reviewed journal that publishes f

View full text Add to dashboard Cite

Ferroresonance is an unexpected, continuous, and undesirable event that causes excessive growth and distortion in the voltage and current waveform, whose cause is unknown and suddenly develops in power systems. To take precautions against the ferroresonance phenomenon, it is necessary to be able to predict how the distortions in the ferroresonance voltage will continue. Today, the ferroresonance problem has not been fully solved yet and more scientific studies are still needed. In this study, a new approach of an LSTM network has been developed that predicts the irregular and excessively large-amplitude continuing behavioral disturbances of the phase voltage in a real electrical power network exposed to ferroresonance. As a result of the study, the ferroresonance-voltage continuing in distorted waveform was estimated with an error of 0.0346 according to the Mean Absolute Percent Error (MAPE). The training data used in the study is only about 5% of all predicted ferroresonance voltage data. The successful estimation of 95% of the Ferreroresonance voltage using only about 5%, proves the success of the LSTM model applied with a new approach for the study.

show abstract

Adaptive overcurrent protection against ferroresonance

Cited by 10 publications

References 9 publications

Adaptive overcurrent relay (AOCR) based on Fano Factors of current signals

Adaptive overcurrent relay (AOCR) based on Fano Factors of current signals

A New Multifunctional Protection System for Reducing Fault Current, Ferroresonance Overvoltage, and Voltage Fluctuations in Power Networks

Forecasting of voltage disturbances at the beginning of ferroresonance phenomena in power systems using by a new approach of long-short term memory (LSTM): LSTM for Ferroresonance in power systems

Contact Info

Product

Resources

About