A novel protection scheme for low voltage DC microgrid using inductance estimation

Shamsoddini, Morteza; Vahidi, B.; Razani, Ramin; Mohamed, Yasser Abdel-Rady I.

doi:10.1016/j.ijepes.2020.105992

Cited by 37 publications

(14 citation statements)

References 24 publications

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“…The bus-to-bus fault is observed as the permanent fault and is considered in this paper. During faults, an absolute route will appear through the antiparallel diode in VSC, and converter stations will deliver active power to the occurred fault [26]. This may result in the high increase of current in the DC segment and the change of current direction.…”

Section: 6dc Microgrid Simulation Modelmentioning

confidence: 99%

Deep neural network enabled fault detection in LVDC microgrid using empirical mode decomposition

2022

IJATEE

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Direct current (DC) microgrids are small-scale distribution systems comprising distributed generators, storage instruments, and controllable loads operating in a coordinated way [1]. Power electronic interface utilized to attach sources and a load to the DC microgrid, which provides flexible control and improved power quality. It makes the microgrid single controlled units that meet the local energy needs and can also operate in coordination with the main grid or utility power system.

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Section: 6dc Microgrid Simulation Modelmentioning

confidence: 99%

Deep neural network enabled fault detection in LVDC microgrid using empirical mode decomposition

2022

IJATEE

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“…LVDC microgrids have many outstanding advantages, such as better efficiency, a natural interface with new energy sources, lower skin effect, higher power transmission capacity, and no synchronization problems [3] . In addition, DC microgrids can be the best option for the electrification of remote communities, far-off-shore platforms, islands, and grids with reasonable loads [4] . However, DC microgrids also bring new challenges, especially the problem of fault detection and protection.…”

Section: Introductionmentioning

confidence: 99%

Short-circuit Fault Detection in Low-voltage DC Microgrids Based on Improved Current Change Rate

Huiyin,

Zhenyu

2023

J. Phys.: Conf. Ser.

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Along with the explosion of new energy sources, DC microgrid has obvious advantages as well as better development paths, but reliable fault detection is still one of the key issues to be solved for DC microgrid. The fault current characteristics are analyzed by a fault RLC equivalent circuit, and the characteristics at different fault location points are further analyzed on the independent DC microgrid model composed of a PV generation unit, an energy storage unit, and a load unit. A fault detection method based on the improved current change rate is proposed by combining the current abrupt change direction. A DC microgrid model with a bus voltage of 400 V is built and simulated in Matlab/Simulink. The simulation results show that the proposed method can detect and isolate bus and unit short-circuit faults in less than 2 ms, ensuring the proper operation of the whole system, which has a certain reference significance for fault protection of low-voltage DC microgrids at independent operation sites.

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“…In that study, the relay used a conventional overcurrent function for low-resistance fault detection, and a real-time discrete wavelet transform was used for high-resistance fault detection. In [12], a fault detection method based on an equivalent inductance estimation that does not require communication equipment was proposed. In [13], a mathematical morphology-based protection method was proposed using the features from fault currents with capacitor discharge characteristics or highimpedance faults with arcing phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Development of New Protection Scheme in DC Microgrid Using Wavelet Transform

Seo¹

2022

Energies

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The demand for a low voltage direct current (LVDC) microgrid is increasing by the increase of DC-based digital loads and renewable resources and the rapid development of power electronics technology. For the stable operation of an LVDC microgrid, it is necessary to develop a protection method. In this paper, the new protection scheme considering the fault section is proposed using wavelet transform (WT) in an LVDC microgrid. The fault sections are classified into DC side of the alternating current (AC)/DC converter, DC/DC converter connected to photovoltaic (PV) system, DC line, and DC bus. The characteristics of fault current at each fault section are analyzed. Based on these analyses, the new protection scheme including the fault section estimation is proposed using WT. The proposed scheme estimates the fault section using the detail component after performing WT and sends the trip signal to each circuit breaker according to the fault section. The proposed protection scheme is verified through various simulations according to the fault region and fault current using electromagnetic transient program (EMTP)/ATPDraw and MATLAB. The simulation results show that the fault section is accurately determined, and the corresponding circuit breaker (CB) operations are performed.

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A novel protection scheme for low voltage DC microgrid using inductance estimation

Cited by 37 publications

References 24 publications

Deep neural network enabled fault detection in LVDC microgrid using empirical mode decomposition

Deep neural network enabled fault detection in LVDC microgrid using empirical mode decomposition

Short-circuit Fault Detection in Low-voltage DC Microgrids Based on Improved Current Change Rate

Development of New Protection Scheme in DC Microgrid Using Wavelet Transform

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