SS

sunil kumar shukla

Madhav Institute of Technology & Science, Nirma University, National Institute of Technology Raipur, Shri Govindram Seksaria Institute of Technology and Science

Research areas: Engineering · Electrical and Electronic Engineering · Power System Optimization and Stability · Power Systems Fault Detection · Electrical Fault Detection and Protection

ORCID iD 0000-0003-1400-0872
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Publications (9)

  • Steiner Tree based Design of Communication Infrastructure with Co optimizing the PMU Placement for Economical Design of WAMS
    IEEE Transactions on Instrumentation & Measurement 2022
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  • Steiner Tree-Based Design of Communication Infrastructure With Co-Optimizing the PMU Placement for Economical Design of WAMS
    Chintan Dalsukh Patel, Tarun Kumar Tailor, Sunil Kumar Shukla
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    IEEE Transactions on Instrumentation and Measurement 2022 DOI: 10.1109/TIM.2022.3179510
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  • Grey wolf optimization-tuned convolutional neural network for transmission line protection with immunity against symmetrical and asymmetrical power swing
    Neural Computing and Applications 2020
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  • A novel approach based on line inequality concept and sine cosine algorithm for estimating optimal reach setting of quadrilateral relays
    Arabian Journal for Science and Engineering 2019
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  • Enhancing the Reliability of Six Phase Transmission Line Protection Using Power Quality Informatics with Real-Time Validation
    International Transactions on Electrical Energy Systems 2019
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  • DC offset estimation-based fault detection in transmission line during power swing using ensemble of decision tree,” IET Science, Measurement Technology
    IET Science, Measurement Technology 2019
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  • A hybrid wavelet–APSO–ANN-based protection scheme for six-phase transmission line with real-time validation
    Neural Computing and Applications 2018
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  • Detection and classification of open conductor faults in six-phase transmission system using k-nearest neighbour algorithm
    7th International Conference on Power Systems (ICPS) 2017
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  • Protection scheme for power transmission lines based on SVM and ANN considering the presence of non-linear loads
    IET Generation, Transmission & Distribution 2017
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