Metrology requirements of state‐of‐the‐art protection schemes for DC microgrids

Li, Chunpeng; Rakhra, Puran; Norman, Patrick; Burt, Graeme; Clarkson, P.

doi:10.1049/joe.2018.0254

Cited by 18 publications

(15 citation statements)

References 13 publications

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“…The distribution lines are of 1 km (considering the line parameters) on both sides of the two-terminal network. The DC microgrid have been still in the phase of developing various standards and yet, some of the earlier works 13,17 related to DC microgrids utilized 380 V for different applications in DC distribution system. So, the voltage level −380 V, has been utilized for the work.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…The fault current discharged by the DC link's capacitor reaches its peak and settles at a finite value which has been formulated and described in previous works 13 as follows,…”

Section: Fault Analysis In Lvdc Systemmentioning

confidence: 99%

“…The response time in the DC networks should be much lower than the AC networks due to larger peak current. 13 However, fault ride through and usage of fault current limiters with the power electronic interfaces are not under the scope of this paper.…”

Section: Fault Analysis In Lvdc Systemmentioning

confidence: 99%

“…12 An insight into the different fault analysis techniques and some worthy reviews of protection methods for DC systems has been mentioned. [13][14] Mohanty et al 15 have proposed a superimposed current based approach for fault detection in a ring bus microgrid where measurements are taken from both ends of a line segment. The same authors have proposed a fault detection and classification method with the locally estimated parameters.…”

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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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: Simulation Results and Discussionmentioning

confidence: 99%

“…The fault current discharged by the DC link's capacitor reaches its peak and settles at a finite value which has been formulated and described in previous works 13 as follows,…”

Section: Fault Analysis In Lvdc Systemmentioning

confidence: 99%

Section: Fault Analysis In Lvdc Systemmentioning

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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“…Though the high-speed protection schemes effectively ensure low-energy dissipation during faults, these methods may be difficult to implement in practice [17]. High-speed protection requires ultra-fast critical hardware, such as SSCBs, communication links, transducers and processors.…”

Section: Literature Reviewmentioning

confidence: 99%

Modulated Low Fault-Energy Protection Scheme for DC Smart Grids

Rakhra

Norman

et al. 2020

IEEE Trans. Smart Grid

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DC smart grids enabled by the integration of advanced power electronic converters (PEC) can ease the integration and control of distributed renewable energy resources, electric vehicles and energy storage systems. However, these highly flexible power systems introduce many challenges when considering the design of reliable, plug-and-play protection that does not rely on dedicated communications infrastructure for device coordination. One particularly difficult challenge is the management of DC-side filter capacitor discharge during shortcircuit faults where the large peak fault-current produced can permanently damage exposed semiconductor components within the converter. One solution is to ensure that the trip-time of DC protection devices is sufficiently rapid (sub-millisecond) to guarantee that fault-current is blocked prior to reaching destructive magnitudes. However, such high-speed protection devices do not offer much margin for effective selectivity with downstream devices due to the narrow time window of operation. Accordingly, this paper proposes a non-unit protection scheme for future large-scale DC smart grid applications that increases this time-window of operation to enable improved selectivity whilst retaining a lower level of energy dissipated in the fault. Reliable protection coordination is demonstrated on a DC radial network and is realized using conventional millisecond trip-time devices, and a single solid-state microsecond trip-time device.

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A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors

Rajpoot

Pandey²,

Rajpoot³

et al. 2021

J. Electr. Eng. Technol.

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This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and switching device, phasor data concentrator, and ZigBee technology, etc. for the identification, classification, and isolation of the various fault occurs in the underground power cable in the distribution system. The proposed SUGPDS is a quick and smart tool in supervising, managing, and controlling various faults and issues and maintaining the reliability, stability, and uninterrupted flow of electricity. First, the SUGPDS model is analyzed using a distributed parameter approach. Then, the proper arrangement of the system required for the implantation of SUGPDS is demonstrated using figures. The Phasor data concentrator plays an essential role in developing the detection and classification report for identification and classification. Finally, smart sensing and switching device installed at a different location isolated the faulty phase from a healthy network. This approach helps to decrease power consumption. Hence, SUGPDS has super abilities compared to the underground power distribution system. The effectiveness of the proposed method and model is demonstrated via figures and tables. Keywords Fault detection and isolation • Micro phasor measurement unit (µPMU) • Underground power cable • Phasor data concentrator (PDC) • Smart sensing and switching device (SSSD) • Smart underground power distribution system (SUGPDS) • Short-circuit fault • Open-circuit fault • Ground fault

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Metrology requirements of state‐of‐the‐art protection schemes for DC microgrids

Cited by 18 publications

References 13 publications

Fault detection and location estimation forLVDCmicrogrid using self‐parametric measurements

Fault detection and location estimation forLVDCmicrogrid using self‐parametric measurements

Modulated Low Fault-Energy Protection Scheme for DC Smart Grids

A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors

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