Ashiq Hussain Lone

About

Dr. Ashiq Hussain Lone is a Power Systems researcher and Energy Transition professional with a PhD in Electrical Engineering from the National Institute of Technology Srinagar, India. His research interests include power system analysis, renewable energy integration, battery energy storage systems (BESS), electricity markets, microgrids, and grid modernization. He has experience in power system modeling and simulation using PSCAD, PSS®E, DIgSILENT PowerFactory, and MATLAB, with applications in grid integration studies, stability assessment, and energy storage optimization. His work bridges academic research, industry applications, and energy policy to support the development of reliable, resilient, and sustainable power systems.

Employment

• Indian Institute of Technology Kanpur Postdoctoral Researcher
  2026 - Present
• Indian Institute of Technology Bombay Project Research Associate
  2025 - 2026

Education

• National Institute of Technology Srinagar PhD
  2020 - Present
• Thapar Institute of Engineering & Technology M.E
  2016 - 2018
• University of Jammu B.E
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Economic Load Dispatch for Islanded Microgrids Considering the Droop Settings of Distributed Generators
  Journal of Control, Automation and Electrical Systems 2025
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• Reactive power control in islanded microgrids with ideal droop parameter setting and shunt compensation
  Energy Systems 2025 DOI: 10.1007/s12667-025-00747-2
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• A novel load flow method for islanded microgrids with optimum droop coefficients
  e-Prime - Advances in Electrical Engineering, Electronics and Energy 2023 DOI: 10.1016/j.prime.2023.100341
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• A Novel Modified Decoupled Newton-Raphson Load Flow Method with Distributed Slack Bus for Islanded Microgrids Considering Frequency Variations
  Electric Power Components and Systems 2023 DOI: 10.1080/15325008.2023.2229831
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• Load Flow Analysis of Islanded Microgrids
  2021 IEEE 4th International Conference on Computing, Power and Communication Technologies, GUCON 2021 2021 DOI: 10.1109/GUCON50781.2021.9573931
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• Load frequency control of two area interconnected power system using sssc with PID, fuzzy and neural network based controllers
  2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018 2018 DOI: 10.1109/ICPEICES.2018.8897468
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• Renewable Energy Scenario of the World and Future Pattern
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