Margi Shah
Research student, School of Engineering
- shahmr5@cardiff.ac.uk
- +44 07586608929
- E 2.12(A), Queen's Buildings, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Overview
Margi Shah is a PhD Canditate at Centre for Integrated Renewable Energy Generation and Supply research group at Cardiff University. Her research interests include power system demand side response, data-driven decision making,distributed optimization and control with applications to power and energy systems.
She received her B.Tech. degree in Electrical Engineering from the Gujarat Technological University-India in 2015, and her M.tech. degree in Power Systems from CSPIT, India in 2017.
She has worked as a Research Fellow in UK-India collaborative project to address system wide impacts of renewable energy sources in engineering program.
Since 2022, She is working towards her PhD (funded by EPSRC) on the thesis enititled: Quantification and Provision of Flexibility from Cyber Pysical Industrial Energy Systems.
Research
Research interests
Research Interests includes :
- Power system demand side response
- Data driven decision making in smart grid
- Distributed optimization and control with applications to power and energy systems.
Teaching
Demonstrating:
- EN1094-Engineering computing with MATLAB
Thesis
Quantification and Provision of Flexibility from Cyber Physical Industrial Energy Systems
The summary of the thesis is mentioned below:
- The detailed models of integrated multi-energy systems and production process in industrial plants will be investigated.
- Maximization of flexibility provision from Individual industrial plants will be studied.
- Digital twins of industrial energy systems will be studied to collect information and apply advanced simulation and analysis methods to gain real time insights about performance of cyber physical industrial energy systems for flexibility quantification and provision.
Funding source
EPSRC
Supervisors
Publications
2024
- Shah, M., Zhou, Y., Wu, J. and Mowbray, M. 2024. A review of reinforcement learning based approaches for industrial demand response. Presented at: 15th International Conference on Applied Energy (ICAE2023), Qatar,Doha, 3-7 December 2023, Vol. 40., (10.46855/energy-proceedings-10959)
2020
- Shah, M. and Pandya, K. S. 2020. Applied computational intelligence in power electronic inverter to mitigate harmonics. Presented at: ICPCCI 2019: International Conference on Power, Control and Communication Infrastructure 2019, Ahmedabad, India, 4-5 July 2019 Presented at Mehta, A., Rawat, A. and Chauhan, P. eds.Advances in Electric Power and Energy Infrastructure: Proceedings of ICPCCI 2019, Vol. 608. Springer Science Business Media pp. 115-127., (10.1007/978-981-15-0206-4_10)
2019
- Sarda, J., Pandya, K. and Shah, M. 2019. Emerging heuristic optimization algorithms for expansion planning and flexibility optimization in sustainable electrical power systems. Presented at: International Conference on Power, Control and Communication Infrastructure, Institute of Infrastructure Technology Research and Management, Ahmedabad, India, 4-5 July 2019 Presented at Mehta, A., Rawat, A. and Chauhan, P. eds.Advances in Control Systems and its Infrastructure. Proceedings of ICPCCI 2019, Vol. 604. Singapore: Springer Science Business Media pp. 191-200., (10.1007/978-981-15-0226-2_15)