Trends in the protection of inverter‐based microgrids

Mahamedi, Behnam; Fletcher, John

doi:10.1049/iet-gtd.2019.0808

Cited by 28 publications

(16 citation statements)

References 107 publications

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“…The current waveforms are captured at relay locations with the sampling frequency of 7.68 kHz meaning 128 samples per cycle. More detailed information about the loads, lines, and other components of the studied MG can be found in [3].…”

Section: Simulation Resultsmentioning

confidence: 99%

Protection framework for microgrids with inverter‐based DGs: A superimposed component and waveform similarity‐based fault detection and classification scheme

Jarrahi

Samet

Ghanbari

2022

IET Generation Trans & Dist

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Since the penetration level of the inverter‐based distributed generations (IBDGs) into microgrids (MGs) is increasing, the protection issues of such networks have become more challenging. The present work aims to design a protection framework for fault detection and classification in IBDG dominated MGs. In the proposed approach, the current waveforms measured from one end of the protected lines are processed using superimposed components. Then, the faults are identified using the Euclidean distance concept. A Pearson correlation coefficient‐based approach is also developed to characterize the faulty phases in the proposed fault classification unit. Furthermore, an auxiliary index is defined to discriminate load change conditions from the faults. In addition to being simple and efficient, the proposed technique is highly capable of functioning in different MG operating modes and configurations without changing its settings. Also, it demonstrates robust performance against IBDG impacts, noises, and stimulating fault scenarios. To assess the scheme proficiency, a modified IEEE 15‐bus system with highly penetrated IBDGs is simulated. The results confirm the quickness and high accuracy of the proposed technique. Moreover, the method is validated in an experimental laboratory test bench. Finally, the superiority of the method is confirmed by a comparative study with other recent methods.

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Section: Simulation Resultsmentioning

confidence: 99%

Protection framework for microgrids with inverter‐based DGs: A superimposed component and waveform similarity‐based fault detection and classification scheme

Jarrahi

Samet

Ghanbari

2022

IET Generation Trans & Dist

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“…This algorithm is also able to classify continuous and noisy data. For this purpose, the data is first sorted; then utility values are obtained for all cases in which it is possible to separate the sorted data, and choose the separator corresponding to the largest value of utility as a separator [5][6][7].…”

Section: C45 Algorithmmentioning

confidence: 99%

Improving the Performance of Distance Relay Using Wavelet Transform

Mohabati

Khoddam

2021

Teh. glas. (Online)

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With proliferation of power grids, different types of faults are more likely to occur. The purpose of system protection relays is to detect abnormal signals that indicate faults in the transmission system and to separate the fault section from the rest of the system to prevent the fault from propagating to other parts of the system. Proliferation of electronic devices led to creation of digital relays made of microprocessors. Hence, analog measurements are converted into digital signals for processing by microprocessors. Air grids are more likely to cause faults than other components of the power system; thus, disturbances affecting the system must be detected quickly and accurately. Therefore, the problem of fault detection and classification is an important factor for economic exploitation of the power grid. Accurate fault handling results in faster repair operations, better system availability, lower operating costs and timesavings. The proposed design in this study was based on detecting the type of fault caused in transmission lines. In order to improve the condition of the relays in the transmission grid, analysis of the signals reached to the relay on both sides of the line was used to detect the fault and its type. The main purpose was to quickly detect the type of fault using wavelet transform. For this purpose, the signal was sampled after the fault occurs and the feature signal was extracted after analysis by wavelet transform. These features were included in the decision tree classifier and the type of the fault was decided.

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“…Furthermore, the bidirectional flows of power make the protection more challenging. Traditional overcurrent relays, which are based on the assumption of single-mode operation and high fault current, cannot protect the microgrids in all operating modes [4] [5]. Therefore, there is a need for a microgrid protection strategy that guarantees protection in both the grid-tied and autonomous mode of operation [6].…”

Section: Introductionmentioning

confidence: 99%

A Kalman Filter-Based Protection Strategy for Microgrids

et al. 2022

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Recently, the concept of microgrids has emerged in the world due to the integration of distributed energy resources (DERs) at the distribution end. The design of a reliable protection strategy is one of the top-most challenges associated with microgrids. This is because of the transition of microgrids between grid-tied and autonomous modes of operation. This paper presents a state-of-the-art microgrid protection scheme based on the Kalman filter (KF). The proposed scheme uses the one-end current signal of a distribution line for the detection and classification of faults. Firstly, the KF is applied to each phase of a three-phase current signal individually to generate residuals and total harmonic distortion (THDs). Next, the variations in the residuals and THDs of each phase are compared with pre-specified threshold values to detect the faulty events in the microgrid. As each phase is processed through KF individually, therefore, the proposed scheme is inherently phase segregated. Afterward, the KF is applied to extract the third harmonic component from the three-phase current and voltage signals. Then, the KF-based reactive power (KFBRP) is obtained from the extracted third harmonic components. Finally, the directional properties of the threephase KFBRP are used to locate the faulty section in the microgrids. Extensive simulations in MATLAB/ Simulink software are performed for the grid-tied as well as the autonomous modes of operation under radial and meshed topologies. The results show that the proposed scheme is highly robust in all testing scenarios without any false tripping and blinding issues.

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Trends in the protection of inverter‐based microgrids

Cited by 28 publications

References 107 publications

Protection framework for microgrids with inverter‐based DGs: A superimposed component and waveform similarity‐based fault detection and classification scheme

Protection framework for microgrids with inverter‐based DGs: A superimposed component and waveform similarity‐based fault detection and classification scheme

Improving the Performance of Distance Relay Using Wavelet Transform

A Kalman Filter-Based Protection Strategy for Microgrids

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