Luis Badesa

Welcome to my website!

I am a Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London, supporting the transition to a net-zero emissions energy system. I am also a Fellow within the Council on Clean Electrification at the World Economic Forum.

My research aims to facilitate a cost-effective integration of renewable energies: I develop mathematical models to operate electricity grids and markets efficiently. You can see a summary of my research here.

I did my PhD in Electrical Engineering under the supervision of Prof. Goran Strbac and Dr. Fei Teng, working on stochastic economic optimisation. In particular, I focused on the low-inertia challenge in modern electricity grids, which increases the risk of frequency instability. In plain words, I studied how to optimally buy "insurance" against power blackouts. This is done by deducing frequency-stability conditions and implementing them as constraints into optimisation routines, all while achieving computational efficiency. For some examples of the mathematical models I have developed, visit my GitHub repository.


           



LuisBadesa


PhD thesis

"Towards a Cost-Effective Operation of Low-Inertia Power Systems", Department of Electrical and Electronic Engineering, Imperial College London, 2020.

Full text  —  5-page summary



Journal papers


Probabilistic Scheduling of UFLS to Secure Credible Contingencies in Low Inertia Systems
IEEE Transactions on Power Systems, under review.
arXiv


Conditions for Regional Frequency Stability in Power System Scheduling—Part II: Application to Unit Commitment
IEEE Transactions on Power Systems, 2021
arXiv  ·  github


Conditions for Regional Frequency Stability in Power System Scheduling—Part I: Theory
IEEE Transactions on Power Systems, 2021
arXiv


Ancillary services in Great Britain during the COVID-19 lockdown: A glimpse of the carbon-free future
Applied Energy, 2021
arXiv  ·  webinar


Value of Point-of-load Voltage Control for Enhanced Frequency Response in Future GB Power System
IEEE Transactions on Smart Grid, 2020
arXiv


Pricing inertia and Frequency Response with diverse dynamics in an MISOCP formulation
Applied Energy, 2020
arXiv  ·  github


Optimal Portfolio of Distinct Frequency-Response Services in Low-Inertia Systems
IEEE Transactions on Power Systems, 2020
arXiv  ·  10min webinar


Scenario generation of aggregated Wind, Photovoltaics and small Hydro production for power systems applications
Applied Energy, 2019
HAL  ·  github


Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment
IEEE Transactions on Power Systems, 2019
arXiv  ·  github



Conference papers (peer-reviewed)


Importance of Linking Inertia and Frequency Response Procurement: The Great Britain Case
2021 IEEE Madrid PowerTech
arXiv


Optimal Scheduling of Frequency Services Considering a Variable Largest-Power-Infeed-Loss
2018 IEEE Power & Energy Society General Meeting
arXiv


Economic Value of Inertia in Low-Carbon Power Systems
2017 IEEE Innovative Smart Grid Technologies
arXiv


Impact of Wind Generation on Dynamic Voltage Stability and Influence of the Point of Interconnection
2016 IEEE GreenTech
IEEE Xplore


Monitoring Power System Transient Stability Using Synchrophasor Data
2015 IEEE Power & Energy Society General Meeting
IEEE Xplore


Reports and articles

  • "Getting to Net Zero: Increasing Clean Electrification by Empowering Demand", report for the World Economic Forum, 2021.
    Full text
  • "Impacts of COVID-19 on the Energy System", multi-disciplinary briefing paper by Imperial College's Energy Futures Lab, 2021.
    Full text  ·  Panel discussion
  • "Whole-System Value of Long-Duration Energy Storage in a Net-Zero Emission Energy System for Great Britain", report commissioned by SSE Renewables through Imperial Consultants, 2021.
    Full text
  • "What has COVID-19 taught us about decarbonized electricity grids?", article for the World Economic Forum, 2021.
    Article
  • "Low Carbon Conversations: A Tricky Balance", podcast for Imperial College's Energy Futures Lab, 2021.
    Libsyn  ·  Spotify  ·  Apple podcast



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