Shailendra Singh

About

Shailendra Singh, has served as a post-graduate assistant, and research scholar in high research enrich laboratories and institutions in the field of power and energy systems. Currently, he is associated with Luxembourg Institute of Science and Technology (LIST) as a Research Engineer. He received his PhD. degree in Electrical engineering in 2022 and M.Tech degree in Power Systems Engineering in 2016 from Indian Institute of Technology BHU, Varanasi, India. He has experience in modelling distribution systems and DER integration of low-carbon technologies such as electric vehicles, photovoltaics, energy storage systems and micro-grids modelling in MATLAB software. His PhD. work primarily focused on integrating electric vehicles in active distribution networks, their impact and owner benefits. Moreover, the developed methods were been authenticated via a real-time co-simulation platform using a Real-Time Digital Simulator (RTDS), MicroLab box (dSPACE 1202) and Real-Time Automation Controller (RTAC). He has developed Python, MATLAB and PSCAD-based co-simulation platforms for time domain analysis and Hardware-in-loop simulation for validating the schemes using RTDS/RSCAD, GTAO/GTAI card and dSPACE-based laboratory setup. He has also developed a wide-area monitoring system on a benchmark test system in a real-time environment with low voltage interfacing of physical PMUs and monitoring the data in a phasor data concentrator (PDC). He has reviewed several papers in reputed journals and many prestigious conferences.

Employment

• Luxembourg Institute of Science and Technology Research Associate
  2023 - Present

Education

• Indian Institute of Technology BHU Masters in Technology
  2014 - 2016
• GLA University Institute of Engineering and Technology Bachelor of Technology
  2010 - 2014
• Kendriya Vidyalaya Sangathan Intermediate (Science)
  2009 - 2010
• Kendriya Vidyalaya Sangathan High School
  2007 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Modal voltage decomposition-based passive method for islanding detection using variational mode decomposition in active distribution network
  Electric Power Systems Research 2023 DOI: 10.1016/J.EPSR.2023.109378
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• Sliding Sector-Based Controller for Regulating Voltage/Frequency in Autonomous Microgrid
  Electric Power Components and Systems 2023 DOI: 10.1080/15325008.2023.2207175
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• Smart charging schedule of plug-in electric vehicles for voltage support: A prosumer-centric approach
  Sustainable Energy, Grids and Networks 2023 DOI: 10.1016/J.SEGAN.2022.100972
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• Tie-Line Bias Control for Frequency Deviation in the Presence of System Uncertainties with WTG and BESS: A Robust Control Approach
  2023 DOI: 10.1007/978-981-19-7788-6_13
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• A new Machine Learning based Approach for Power System State Forecasting
  IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) 2022 DOI: 10.1109/GLOBCONPT57482.2022.9938156
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• Determination of Measurement based Air Conditioner Load Models
  IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) 2022 DOI: 10.1109/GLOBCONPT57482.2022.9938272
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• Machine Learning based Detection and Classification of Power Quality Disturbances in Smart Grid System
  IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) 2022 DOI: 10.1109/GLOBCONPT57482.2022.9938352
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• Optimal Location and Size of Multi-distributed Generation with Minimization of Network Losses
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-981-19-4364-5_6
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• Optimal charging of electric vehicles for cost minimization in re-configurable active distribution network considering conservation voltage reduction
  Energy Sources, Part A: Recovery, Utilization and Environmental Effects 2022 DOI: 10.1080/15567036.2022.2143956
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• AGGREGATED EFFECT OF ELECTRIC VEHICLES ON FREQUENCY REGULATION USING SOC BASED V2G CONTROLLER
  DOI: 10.34218/IJEET.12.8.2021.002
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