Aimon Mirza Baig | Power System Optimisation | Best Researcher Award

Mrs. Aimon Mirza Baig | Power System Optimisation | Best Researcher Award

Phd Researcher at Imperial College Lodnon, United Kingdom

Aimon Mirza Baig is a power systems researcher based in the United Kingdom, with specialized expertise in real-time modeling of flexible energy assets for grid stability. His research focuses on advanced mathematical modeling, energy market optimization, and ancillary service pricingβ€”especially in the context of renewable-dominated and nuclear-integrated electricity grids. He is proficient in multiple programming and modeling tools, and has published extensively in high-impact journals and IEEE conferences. Fluent in six languages, Aimon also engages in STEM education outreach internationally.

Publication ProfileΒ 

Scopus

Orcid

Educational Background πŸŽ“

  • PhD in Electrical and Electronic Engineering
    Imperial College London (2019–2025)
    Focus: Real-time modeling of flexible assets, frequency-security constrained unit commitment (SUC), ancillary service optimization.

  • MSc in Advanced Electrical Engineering (Distinction)
    Queen Mary University of London (2018–2019)

  • BEng in Electrical and Electronics Engineering (First Class)
    University of Greenwich (2015–2018)

Professional Experience πŸ’Ό

Imperial College London (2019–2025)

Modeling & Optimization Techniques

  • Developed C++ and Python-based SUC models integrating frequency containment and renewable uncertainty.

  • Designed pricing schemes to co-optimize energy production and ancillary service provisioning.

Simulation & Data Analysis

  • Used real-time National Grid data to validate models.

  • Demonstrated cost-effectiveness of inertia and frequency response co-optimization.

  • Evaluated benefits of ancillary services from nuclear, battery, and renewables.

Teaching & Mentorship – Riyadh, Saudi Arabia (2024)

  • Delivered STEM lectures and workshops to high school students, focusing on science and engineering.

Research Interests πŸ”¬

  • Power system stability and control

  • Co-optimization of energy and ancillary services

  • Virtual power plants and non-convex bi-level optimization

  • Flexible nuclear integration

  • Stochastic modeling of energy systems

  • Market design and pricing mechanisms for grid services

Awards and HonorsπŸ†βœ¨

  • Best Researcher Award

  • Outstanding Research Award

  • Excellent Research Presentation

Skills

  • Programming: Python, C++, MATLAB, VHDL

  • Tools: Proteus, Microsoft Office

  • Languages: English, Arabic, Hindi, Urdu, Pushto, Panjabi

Conclusion🌟

Aimon Mirza Baig stands out as a dynamic researcher bridging theoretical modeling with practical energy system applications. His contributions to ancillary service markets, renewable integration, and nuclear flexibility optimization position him as a future leader in power systems engineering. His blend of technical expertise, educational outreach, and publication record reflects a strong commitment to energy innovation and sustainable grid development.

Publications πŸ“š

  1. πŸ“˜ “Importance of Linking Inertia & Frequency Response”
    πŸ“ IEEE PowerTech, 2021
    πŸ” Focus: Grid stability through inertia and frequency dynamics.


  2. πŸ“• “Procurement: The Great Britain Case”
    πŸ“ Independent Research Publication
    πŸ›οΈ Focus: Analysis of procurement mechanisms in the GB electricity market.


  3. πŸ“— “Market Design for Ancillary Services via Virtual Power Plants: A Non-Convex Bi-Level Optimization Approach”
    πŸ“ Applied Energy, 2024
    βš™οΈ Focus: Virtual power plants, optimization, and market integration.


  4. πŸ“™ “Co-optimising Frequency-Containment Services in Renewable-Dominated Electricity Grids”
    πŸ“ International Journal of Electrical Power & Energy Systems (IJEPES), 2025
    🌿 Focus: Frequency services in high-renewable environments.


  5. πŸ““ “Stochastic Co-Optimisation of Energy, Frequency & Carbon Services in Flexible Nuclear Power Plants”
    πŸ“ IJEPES, 2025
    πŸ”„ Focus: Multi-service provision from nuclear plants under uncertainty.


  6. πŸ“’ “Marginal Pricing Scheme for Ancillary Service Provision from Flexible Nuclear Power Plants”
    πŸ“ IEEE Transactions on Sustainable Energy, 2025
    πŸ’Έ Focus: Pricing mechanisms for nuclear-powered ancillary services.