Gayan Lankeshwara

About

I am a postdoctoral research fellow in the Power, Energy and Control Engineering research group at The University of Queensland, Australia. My project focusses on developing an all-in-one system that automatically detects and locates faulty or under-performing photovoltaic (PV) panels in utility-scale solar farms. I received my Ph.D. in Electrical Engineering from the same university under the supervision of Dr. Rahul Sharma, Prof. Tapan Saha and Dr. Ruifeng Yan. I am broadly interested in grid integration of behind-the-meter distributed energy resources, demand response, and control and machine learning applications in power systems.

Employment

• University of Queensland Postdoctoral Research Fellow
  2023 - Present
• University of Peradeniya Visiting Lecturer
  2023 - 2023
• GSMT Consulting Power System Engineer (Part-time)
  2022 - 2023
• The University of Queensland PhD Candidate
  2019 - 2023
• Star Industrial Machinery (Pvt) Ltd Electrical and Mechanical Engineer
  2016 - 2018

Education

• University of Queensland Doctor of Philosophy
  2019 - 2023
• University of Peradeniya Master of Science of Engineering (MSc.Eng.)
  2018 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• A review on network-aware control of distributed energy resources under the dynamic operating envelopes framework
  Renewable and Sustainable Energy Reviews 2025 DOI: 10.1016/j.rser.2025.115696
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• Development and validation of a dynamic operating envelopes-enabled demand response scheme in low-voltage distribution networks
  Applied Energy 2025 DOI: 10.1016/j.apenergy.2024.125150
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• Dynamic operating envelope-enabled P2P trading to maximise financial returns of prosumers
  IEEE Transactions on Smart Grid 2024 DOI: 10.1109/tsg.2023.3297366
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• Time-varying operating regions of end-users and feeders in low-voltage distribution networks
  IEEE Transactions on Power Systems 2024 DOI: 10.1109/tpwrs.2023.3302421
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• Robust provision of demand response from thermostatically controllable loads using Lagrangian relaxation
  International Journal of Control 2024 DOI: 10.1080/00207179.2023.2241579
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• Development and Validation of a Dynamic Operating Envelopes-Enabled Demand Response Scheme in Low-Voltage Distribution Networks
  2024 DOI: 10.2139/ssrn.4918665
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• Network-aware demand response in the presence of uncertainties
  The University of Queensland 2023 DOI: 10.14264/0b87703
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• Allocation of dynamic operating envelopes in distribution networks: technical and equitable perspectives
  IEEE Transactions on Sustainable Energy 2023 DOI: 10.1109/tste.2023.3275082
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• Dynamic Operating Envelopes-enabled Demand Response in Low-voltage Residential Networks
  2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2022 DOI: 10.1109/appeec53445.2022.10072108
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• A hierarchical control scheme for residential air-conditioning loads to provide real-time market services under uncertainties
  Energy 2022 DOI: 10.1016/j.energy.2022.123796
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