Fast Fault Protection Based on Direction of Fault Current for the High-Surety Power-Supply System

Li, Haijin; Chen, Min; Yang, Boping; Blaabjerg, Frede; Xu, Dehong

doi:10.1109/tpel.2018.2870982

Cited by 19 publications

(12 citation statements)

References 35 publications

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“…The detection results of normal power signal and interruption are displayed in Figures 8 and 9, respectively. According to numerous experimental tests, the proposed method can deal with most identification of power events correctly compared with the threshold method (TM) in [14], the traditional fuzzy analysis (FA) in [15], and the traditional back-propagation neural network (BPNN) in [16], as listed in Table 4. The incorrect identification for the normal power signal with BPNN resulted from the inefficient robustness of DWT to the noise.…”

Section: Case Studiesmentioning

confidence: 99%

Wavelet Energy Fuzzy Neural Network-Based Fault Protection System for Microgrid

et al. 2020

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To perform the fault protection for the microgrid in grid-connected mode, the wavelet energy fuzzy neural network-based technique (WEFNNBT) is proposed in this paper. Through the accurate activation of protective relay, the microgrid can be effectively isolated from the utility power system to prevent serious voltage fluctuation when the power quality of power system is disturbed. The proposed WEFNNBT can be divided into three stages—feature extraction (FE), feature condensation (FC), and disturbance identification (DI). In the FE stage, the feature of power signal at the point of common coupling (PCC) between microgrid and utility power system would be extracted with discrete wavelet transform (DWT). Then, the wavelet energy and variation of singular power signal can be obtained according to Parseval Theorem. To determine the dominant wavelet energy and enhance the robustness to the noise, the feature information is integrated in the FC stage. The feature information then would be processed in the DI stage to perform the fault identification and activate the protective relay if necessary. From the experimental results, it is realized that the proposed WEFNNBT can effectively perform the fault protection of microgrid.

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Section: Case Studiesmentioning

confidence: 99%

Wavelet Energy Fuzzy Neural Network-Based Fault Protection System for Microgrid

et al. 2020

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“…The advantage of the proposed directional protection scheme is that the FHO state variable is infinity for the faulty feeder while it has a finite value for the healthy one. Specifically, the contributions of this paper with respect to [2] are as follows:…”

Section: Aims and Contributionsmentioning

confidence: 99%

“…Finally, Section 5 concludes the paper. Figure 1 shows the single diagram of the study HSPS system that is the extended version of the test system of [2]. It is a bipolar (three-wire) network with the TN-S earthing system where the midpoint of the converter is connected to the ground.…”

Section: Paper Organisationmentioning

confidence: 99%

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Directional element for faulty feeder identification of high‐resistance fault in high‐surety power supply systems

Rouhani

Sadeghkhani

Guerrero

2020

IET Generation Trans & Dist

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The high‐surety power supply systems are gaining great attention to enhance the reliability of uninterruptable power supplies. A high‐resistance fault along a high‐surety power supply feeder results in a low fault current, making the conventional high‐surety power supply protection strategy ineffective. To address this problem, this paper develops a directional fault protection strategy for high‐resistance fault detection and faulty feeder identification. Using the intelligent electronic device, the feeder current is sampled and normalised. Then, the fault‐imposed component of the current signal is calculated. This component is added to the input of the forced Helmholtz oscillator to increase the sensitivity of the proposed protection scheme for the detection of high‐resistance faults. The output of the forced Helmholtz oscillator equation is adopted as the fault detection criterion because it is infinity for reverse faults while it is lower than 1 for forward faults, facilitating the fault detection. The developed strategy is local and can detect and classify both pole‐to‐ground and pole‐to‐pole high‐resistance faults. Also, it is effective for both unidirectional and bidirectional converters. The merits of the proposed protection strategy are demonstrated through several fault scenarios using a ±375 V high‐surety power supply system.

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“…In order to address these problems, the single-phase uninterruptable power supply (UPS) systems where the battery device is connected are widely used as a method of supplying power to the distribution network in case of an accident. However, even when using single-phase UPS systems, certain facilities and control methods are required individually for critical loads [14]. To solve this problem, studies proposing protection coordination logic to locally separate only the fault point using several connectors have been conducted, these approaches include the accurate prediction and detection of the failure point on the power line and the decentralization of the distribution network as much as possible.…”

Section: Introductionmentioning

confidence: 99%

Space Vector Pulse-Width Modulation Control Strategy for Four-Leg Inverters Under Single Line-to-Ground Faults in Islanded Microgrids

Choi

Lee

et al. 2022

IEEE Access

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In this paper, we propose a novel switching modulation scheme for three-phase four-leg inverters that enables the separation of the fault points occurring in AC distribution networks. The proposed method is aimed at continuously supplying normal voltage to the remaining healthy phases while applying zero voltage to any faulty phase when a single line-to-ground (SLG) fault occurs in the distribution network. This modulation scheme allows isolation without physically blocking the point of failure. This can prevent unnecessary continuous outages in the AC distribution network. To this end, we propose a novel coordinate transformation method to extract accurate values for the magnitude of unbalanced three-phase voltages. A novel space vector pulse-width modulation (SVPWM) method for switching schemes that are used under fault conditions is also presented. The proposed coordinate transformation considers a plane lying in a three-dimensional (3-D) space that describes the rotation of a three-phase voltage vector. This transformation converts a physical quantity that rotates in 3-D space into a value that moves in twodimensional (2-D) space. Subsequently, the use of synchronous reference frame (SRF) transformation enables the detection and control of the voltage magnitude in case of an SLG fault. Additionally, switching vectors are selected to apply zero voltage to the faulty phase by analyzing the switching vector diagram of a four-leg inverter. Mathematical analyses conducted for the entire process are detailed herein. Further, the experimental results of four-leg inverters designed for the 10 kW class verify the proposed strategies.

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Fast Fault Protection Based on Direction of Fault Current for the High-Surety Power-Supply System

Cited by 19 publications

References 35 publications

Wavelet Energy Fuzzy Neural Network-Based Fault Protection System for Microgrid

Wavelet Energy Fuzzy Neural Network-Based Fault Protection System for Microgrid

Directional element for faulty feeder identification of high‐resistance fault in high‐surety power supply systems

Space Vector Pulse-Width Modulation Control Strategy for Four-Leg Inverters Under Single Line-to-Ground Faults in Islanded Microgrids

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