Real-Time Adaptive Differential Feature-Based Protection Scheme for Isolated Microgrids Using Edge Computing

Arunan, Anusuya; Sirojan, Tharmakulasingam; Ravishankar, Jayashri; Ambikairajah, Eliathamby

doi:10.1109/jsyst.2020.2986577

Cited by 25 publications

(12 citation statements)

References 36 publications

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“…To establish a 3D coordinate system, we manually select 6 points ①-, and collect their 3D coordinates; to establish a coordinate system with the upper left corner of the image as the origin, we collect the twodimensional image coordinates corresponding to ①-⑥; from the mapping relationship k 􏽥 m � A(Rt) 􏽥 M between image coordinates and object coordinates (CAD design coordinates), the conversion parameters between the twodimensional image coordinate system and the three-dimensional object coordinate system can be obtained [12].…”

Section: Getting the Initial Valuementioning

confidence: 99%

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

2022

Journal of Control Science and Engineering

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In order to solve the problem that the properties of the acquired images in engineering are often poor and the features of the images are seriously lost, so that the image features cannot be effectively developed, an application method of CAD technology in the extraction of linear features of industrial parts images is proposed. Based on 3D computer-aided design (CAD) data, by solving the parameter transformation relationship between the CAD 3D Cartesian coordinate system and the image coordinate system, the target line feature is projected onto the image, and the initial value range of the image line feature is obtained. The edge point sequence is extracted by multiplication template matching, and the generated point sequence is fitted by the least square method to obtain the line equation of the image line feature. By solving the intersection of the intersecting lines of the image, the straight line segment representing the contour of the industrial part can be obtained with high precision. The experimental results show that the above algorithm is used to extract the line features of real industrial part images, and the median error of the difference between the reconstructed line length and the line length measured by the vernier caliper is 0.232 mm. The practice has proved that CAD technology has a certain auxiliary and guiding role in the research of industrial part image feature extraction algorithms. It can be applied to high-precision image measurement and reverse engineering of regular industrial parts. In engineering technology, it can help improve the automation level of industrial production.

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Section: Getting the Initial Valuementioning

confidence: 99%

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

2022

Journal of Control Science and Engineering

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“…This article reviews future communication technologies deployments in microgrid indicating the viability of 5G wireless systems and multi-connectivity to enable adaptive protection. Henghwei Lin ,et al, [16] further proposed an adaptive protection that has been in collaborative effort with the machine learning techniques designed especially for microgrids. Arunan,et al, [17] developed a adaptive protection scheme based on a self-organizing map clustering algorithm with digital overcurrent relays equipped with several settings groups.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Central Control Scheme and Investigation of Fault Current Contribution for Protection of Microgrid

Balasubramanian

Roselyn

Srividya

2022

J. Phys.: Conf. Ser.

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Microgrids suffer from issues namely protection blinding, sympathetic tripping. Microgrids operate in which differs from the conventional power system. Micro-grids operate in grid-connected mode or islanded mode of operation. In islanded mode microgrids utilize distributed energy resources that are renewable such as solar, wind, along with energy storage systems. In both, the modes of the system undergo various challenges such as protection blinding, sympathetic tripping, or short circuit current in power electronic interfaced generation. This work focuses on the analysis of fault in both modes of operation as well as the issues that are specific to a microgrid. Hence adaptive settings of the relay are required to switch over under the different modes of operation. This work utilizes an adaptive central controller for MG protection. Hence the sensed data from the system is fed to the controller and managing the relay operation which is the IDMT relay. This work focuses on the relay setting and plug set for the relays under modes of operation. The detailed analysis is carried out in IEEE 13 bus system and adaptive relay setting calculation for adaptive centralized MG protection is carried out.

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“…A multiagent system-based co-simulation platform for microgrid protection is presented in [36]. In [37], the authors provided an isolated microgrid protection scheme based on real-time adaptive differential features.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, some of the studies relied on IIDGs [34], [35]. The major drawback with an adaptive scheme is the computational burden [31], [37], and most of the previous studies did not take simultaneous faults into account. This paper introduces a fault protection scheme for microgrid using a combined signal processing and data mining approach.…”

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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Real-Time Adaptive Differential Feature-Based Protection Scheme for Isolated Microgrids Using Edge Computing

Cited by 25 publications

References 36 publications

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

Adaptive Central Control Scheme and Investigation of Fault Current Contribution for Protection of Microgrid

Fault Protection in Microgrid Using Wavelet Multiresolution Analysis and Data Mining

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