PMU Assisted Integrated Impedance Angle-Based Microgrid Protection Scheme

Sharma, Nikhil Kumar; Samantaray, Subhransu Ranjan

doi:10.1109/tpwrd.2019.2925887

Cited by 75 publications

(37 citation statements)

References 32 publications

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“…A comprehensive communication assisted protection-based strategy for microgrid was reported in [22], with dual directional over-current relay. The authors in [23], presented a fault protection strategy based on an integrated impedance angle, using the phasor measurement unit. A non-pilot protection strategy was designed in [24], for symmetrical and asymmetrical faults for inverter-dominated microgrid.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid

Baloch

Muhammad

2021

IEEE Access

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The specific characteristics and operations of microgrid cause protection problems due to high penetration of distributed energy resources. To resolve these issues, the proposed scheme employs the Hilbert transform and data mining approach to protect the microgrid. First, the Hilbert transform is used to preprocess the faulted voltage and current signals to extract the sensitive fault features. Then, the obtained data set of the extracted features is input to the logistic regression classifier for fault detection. Later, fault classification is done by training the AdaBoost classifier. In the proposed scheme, the simulation results for feature extractions are evaluated on a standard International Electrotechnical Commission (IEC) medium voltage microgrid, compatible with MATLAB/SIMULINK software environment, whereas, Python is used for training and testing of data mining model. The results are evaluated under grid-connected and islanded modes for both looped and radial configurations by simulating various fault and no-fault cases. The results show that the accuracy of the proposed logistic regression and AdaBoost classifier is higher when compared to decision tree, support vector machine, and random forest methods. The results further validate the robustness of the proposed method against the measurement noise.

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Section: Introductionmentioning

confidence: 99%

An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid

Baloch

Muhammad

2021

IEEE Access

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“…The authors in [31] presented a quadrature and zero sequence components based adaptive protection scheme. In [32], an integrated impedance angle based PMU protection scheme is introduced using the positive sequence components. A centralized control approach, based on a hybrid hardware-software co-simulation platform to provide protection between the physical and cyber parts is proposed in [33].…”

Section: Introductionmentioning

confidence: 99%

Fault Protection in Microgrid Using Wavelet Multiresolution Analysis and Data Mining

2021

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The protection problems in microgrid effect the reliability of the power system caused due to high distributed generator penetrations. Therefore, fault protection in microgrid is extremely important and needs to be resolved to enhance the robustness of the power system. This manuscript proposes a combined signal processing and data mining-based approach for microgrid fault protection. In this study, first the multiresolution decomposition of wavelet transform is employed to preprocess the voltage and current signals to compute the total harmonic distortion of the voltage and current. Then, the statistical indices of standard deviation, mean, and median of the total harmonic distortion and the negative sequence components of active and reactive power are used to collect the input data. After that, all the available data is provided to the random forest-based classifier to evaluate the efficiency of the proposed scheme in terms of the detection, identification, and classification of faults. This study used different aspects for data collection by simulating various fault and no-fault cases for both looped and radial configurations under grid-connected and islanded modes of operation. The simulations were performed on a standard medium voltage microgrid using MATLAB/SIMULINK, whereas the analysis for testing and training of the random forest were conducted in Python. It is recognized that the proposed method performed better than support vector machines and decision tree that are reported in the literature. The results further demonstrate that the proposed method can also detect simultaneous faults, and it is also effective against measurement noise.INDEX TERMS Data-mining, discrete wavelet transform, feature extraction, fault protection, multiresolution analysis, random forest.

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“…This technique may fail when the numbers of dynamic loads are present. Furthermore, protection schemes with an advance communication infrastructure-e.g., adaptive relaying [21], communication-assisted digital relays [22], a phasor measurement units-assisted integrated impedance angle based scheme [23], or a microgrid central protection unit [15]-can effectively solve protection issues in an SPVG-connected network. However, the cost involved in their communication infrastructure and for updating the existing protection devices cannot justify these choices.…”

Section: Introductionmentioning

confidence: 99%

A Novel Protection Scheme for Solar Photovoltaic Generator Connected Networks Using Hybrid Harmony Search Algorithm-Bollinger Bands Approach

Rajput¹,

Pandya

Hong

et al. 2020

Energies

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This paper introduces a new protection system for solar photovoltaic generator (SPVG)-connected networks. The system is a combination of voltage-restrained overcurrent relays (VROCRs) and directional overcurrent relays (DOCRs). The DOCRs are implemented to sense high fault current on the grid side, and VROCRs are deployed to sense low fault current supplied by the SPVG. Furthermore, a novel challenge for the optimal coordination of DOCRs-DOCRs and DOCRs-VROCRs is formulated. Due to the inclusion of additional constraints of VROCR, the relay coordination problem becomes more complicated. To solve this complex problem, a hybrid Harmony Search Algorithm-Bollinger Bands (HSA-BB) method is proposed. Also, the lower and upper bands in BB are dynamically adjusted with the generation number to assist the HSA in the exploration and exploitation stages. The proposed method is implemented on three different SPVG-connected networks. To exhibit the effectiveness of the proposed method, the obtained results are compared with the genetic algorithm (GA), particle swarm optimization (PSO), cuckoo search algorithm (CSA), HSA and hybrid GA-nonlinear programming (GA-NLP) method. Also, the superiority of the proposed method is evaluated using descriptive and nonparametric statistical tests.

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PMU Assisted Integrated Impedance Angle-Based Microgrid Protection Scheme

Cited by 75 publications

References 32 publications

An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid

An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid

Fault Protection in Microgrid Using Wavelet Multiresolution Analysis and Data Mining

A Novel Protection Scheme for Solar Photovoltaic Generator Connected Networks Using Hybrid Harmony Search Algorithm-Bollinger Bands Approach

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