Local measurement‐based technique for estimating fault location in multi‐source DC microgrids

Meghwani, Anju; Srivastava, Suresh C.; Chakrabarti, Saikat

doi:10.1049/iet-gtd.2017.1801

Cited by 33 publications

(28 citation statements)

References 38 publications

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“…For high impedance faults (like PG faults), the maximum value of the impedance has already been established in the earlier works, 16,18 that it may reach up to 2 Ω. So, for PG faults with fault resistance R f 0.5 Ω and 1 Ω (as shown in 2), the error is slightly higher as compared to the low impedance (PP) faults.…”

Section: Discussion On Simulation Resultsmentioning

confidence: 81%

“…16 Another fault detection and classification using wavelets and artificial neural network (ANN) has been presented, 17 but do not give any idea about the fault location. Meghwani et al [15][16][17] An algorithm 18 have been proposed for fault location for a multi-source system, that is, for a line between two active buses. Dhar et al 19 have documented fault detection and location for a PV-based system with distribution line capacitances (generally neglected) consideration.…”

mentioning

confidence: 99%

“…The location of fault with good accuracy is discussed with some complex computation method using medium-range sampling frequency. 18,19 Fault analysis for the photovoltaic generation system has been done for solar fluctuations and DC transmission systems 20,21 in some literature. The distance-based fault detection and isolation technique for an MVDC system has been discussed 22,23 which deals with zero-mode fault network to detect and isolate the fault.…”

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confidence: 99%

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Fault detection and location estimation forLVDCmicrogrid using self‐parametric measurements

Reddy

Chatterjee

Chakraborty

et al. 2020

Int Trans Electr Energ Syst

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Faster fault detection and location has become one of the prime assignments in microgrids for better control strategies. Quick identification of fault may result in location estimation tougher due to insufficient measurement data. In this article, a better scheme for fault detection and a novel method for the location of fault with good accuracy are portrayed. The speed and cost‐effectiveness of the proposed scheme has been assured due to less sampling frequency. The proposed method is developed for a standalone low voltage DC (LVDC) system with photovoltaics and battery energy storage system. A large number of fault scenarios have been simulated and analyzed by varying faults (pole‐pole, pole‐ground), fault resistance, and locations. The proposed scheme deals with local measurements that heartens the easy implementation of the proposed method. The case studies have been simulated in MATLAB/ SIMULINK environment. The efficacy of the proposed protection scheme is further validated in a real‐time environment.

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Section: Discussion On Simulation Resultsmentioning

confidence: 81%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Fault detection and location estimation forLVDCmicrogrid using self‐parametric measurements

Reddy

Chatterjee

Chakraborty

et al. 2020

Int Trans Electr Energ Syst

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“…To provide faster fault location, online methods to estimate the fault location are proposed by measuring the voltage, current and di/dt values in a transient stage locally in a radial DC distribution system [108,109]. These methods are based on developing linear relationship between di/dt and the fault loop impedance.…”

Section: Online Fault Location Methods (A) Derivative Based Techniquementioning

confidence: 99%

System Configuration, Fault Detection, Location, Isolation and Restoration: A Review on LVDC Microgrid Protections

et al. 2019

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Low voltage direct current (LVDC) distribution has gained the significant interest of research due to the advancements in power conversion technologies. However, the use of converters has given rise to several technical issues regarding their protections and controls of such devices under faulty conditions. Post-fault behaviour of converter-fed LVDC system involves both active converter control and passive circuit transient of similar time scale, which makes the protection for LVDC distribution significantly different and more challenging than low voltage AC. These protection and operational issues have handicapped the practical applications of DC distribution. This paper presents state-of-the-art protection schemes developed for DC Microgrids. With a close look at practical limitations such as the dependency on modelling accuracy, requirement on communications and so forth, a comprehensive evaluation is carried out on those system approaches in terms of system configurations， fault detection, location, isolation and restoration.

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“…Nevertheless, the detection of the arrival times of the different modes may prove difficult, in particular for faults occurring close to a station. In the context of DC micro-grid, [7] proposes to estimate the fault distance and resistance using a simple RL model for the distribution lines. The confidence level of the estimated parameters as well as the value of the estimated fault distance are used to identify internal faults.…”

Section: Introductionmentioning

confidence: 99%

Fast Fault Identification in Bipolar HVDC Grids: A Fault Parameter Estimation Approach

Kieffer

Raison

2022

IEEE Trans. Power Delivery

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The protection of meshed HVDC grids requires the fast identification of faults affecting the transmission lines. Communication-based methods are thus not suited due to the transmission delays. Many approaches involving a model of the transient behavior of the faulty line have recently been proposed. Nevertheless, an accurate description of the traveling wave phenomenon in multi-conductor lines such as overhead lines requires complex computations ill-suited for fast fault identification.This paper presents a single-ended fault identification algorithm using a closed-form parametric model of the fault transient behavior. The model combines physical and behavioral parts and depends explicitly on the parameters that characterize the fault, namely the fault distance and impedance. When a fault is suspected, the fault parameters are estimated so that the model fits best the received measurements. The confidence region of the estimated fault parameters is used to decide whether the protected line is actually faulty or not.The proposed algorithm is tested on a 4 station grid simulated with EMTP-RV software. The method is able to identify the faulty line using a measurement window of less than 0.5 ms. This allows ultra-fast fault clearing and can hence improve the overall reliability of future HVDC grids.

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Local measurement‐based technique for estimating fault location in multi‐source DC microgrids

Cited by 33 publications

References 38 publications

Fault detection and location estimation forLVDCmicrogrid using self‐parametric measurements

Fault detection and location estimation forLVDCmicrogrid using self‐parametric measurements

System Configuration, Fault Detection, Location, Isolation and Restoration: A Review on LVDC Microgrid Protections

Fast Fault Identification in Bipolar HVDC Grids: A Fault Parameter Estimation Approach

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