High speed fault detection and localization scheme for low voltage DC microgrid

Chauhan, Pooja; Gupta, C. P.; Tripathy, Manoj

doi:10.1016/j.ijepes.2022.108712

Cited by 20 publications

(4 citation statements)

References 32 publications

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“…The data sampled in normal network conditions as well as in the conditions when a fault occurred in the network have been individually reconstructed by DMD. Then, the values obtained from both modes have been converted into a signal according to Equation (20). In the next step, in order to detect the fault in the DC microgrid, it is necessary to reconstruct the sampled signals in the normal state and in the fault condition.…”

Section: The Proposed Fault Detection Algorithmmentioning

confidence: 99%

Section: The Proposed Fault Detection Algorithmmentioning

confidence: 99%

“…This method calculates the difference between the currents on both sides of the protection zone, and if this difference is greater than the threshold, it issues a trip command [19]. The reason for using the threshold value in differential protection is to separate and distinguish the fault state from the normal state [20]. Synchronizing the sampled signals and then comparing them with each other in order to issue a trip command in a certain time interval is one of the challenges of this method [21].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method

Sistani,

Hosseini,

Sadeghi

et al. 2023

Sustainability

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Variations in fault currents, short times to clear the fault, and a lack of a natural current zero-crossing point are the most important challenges that DC microgrid protection faces. This challenge becomes more complicated with the presence of electric vehicles and energy storage systems due to their uncertainties. For this reason, in this paper, a new method for fault detection in DC microgrids with the presence of electric vehicles and energy storage systems is proposed. The new proposed method uses the combination of dynamic mode decomposition and instantaneous frequency for fault detection. In this method, first, a reference signal is made using the voltage and current signal sampled from the DC microgrid using the dynamic mode decomposition method. Next, in order to detect the fault, the instantaneous frequency value of the reference signal is calculated by the Hilbert transform. The simultaneous use of voltage and current signals reduces the transient effects of the control system on the proposed protection method. In order to measure voltage and current signals, only one intelligent electronic device unit is used in this paper. The proposed new method has been tested on a single-bus DC microgrid with the presence of electric vehicles and energy storage systems in MATLAB 2019b software. The results show that this method can detect all types of faults in DC microgrids, electric vehicles, and photovoltaics. Also, this method is immune to the uncertainties of the generation of distributed generation resources and the existence of noise distortions in the measured signals.

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Section: The Proposed Fault Detection Algorithmmentioning

confidence: 99%

Section: The Proposed Fault Detection Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method

Sistani,

Hosseini,

Sadeghi

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…To the best of our knowledge, few studies have focused on the effects of actuator faults on the regular operation of DC microgrids. Although various FD algorithms have been proposed (Chauhan et al, 2023; Wang et al, 2023), the problem of FTC schemes against actuator faults in DC microgrids does not get much attention. In Asadi et al (2021), a novel robust nonlinear detector was proposed to detect and reconstruct both sensor and actuator faults in DC microgrids.…”

Section: Introductionmentioning

confidence: 99%

Distributed observer-based resilient control of islanded DC microgrids under actuator faults

Jiao

Ding

Kong

et al. 2023

Transactions of the Institute of Measurement and Control

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In this paper, a distributed observer-based resilient control scheme is proposed to solve the voltage regulation and current sharing problems of islanded direct current (DC) microgrids under actuator faults. First, an observer-based distributed fault estimation design is presented to estimate fault signals with high accuracy. Then, based on the estimated information, a primary decentralized fault-tolerant control layer is designed to ensure accurate voltage reference tracking. A secondary cooperative control layer is employed to achieve the goal of current sharing. Besides, both the fault estimation observers and the fault-tolerant controllers are designed in a plug-and-play fashion, which guarantees the scalability of the DC microgrid. The simulation and experimental results show that the proposed control strategy can efficiently improve the reliability and resilience of the DC microgrid.

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A Study on Fault Detection, Localization, and Classification Strategies in Modern Distribution Grid

Kumar,

Mathur,

Pratap Singh

2024

Lecture Notes in Electrical Engineering

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High speed fault detection and localization scheme for low voltage DC microgrid

Cited by 20 publications

References 32 publications

Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method

Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method

Distributed observer-based resilient control of islanded DC microgrids under actuator faults

A Study on Fault Detection, Localization, and Classification Strategies in Modern Distribution Grid

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