AI Data Centres as Converter-Based Loads: New Stability Risks & Opportunities

#PowerSystems #GridStability #DataCenters #ArtificialIntelligence #EnergyTransition #InverterBasedResources #EMTStudies #SystemStrength #IEEEPES #SmartGrids #PowerEngineering #GridPlanning #NetZero #DigitalInfrastructure
Share

IEEE PES Saudi Arabia Chapter Webinar

AI Data Centres as Converter-Based Loads
New Stability Risks & Opportunities


AI data centres are evolving from passive demand into large, converter-interfaced load blocks with fast, synchronised power ramps. At scale, these behaviours can affect system strength, frequency and voltage stability, and introduce control interactions in converter-dominated networks. This talk summarises key stability risks associated with clustering and weak-grid connections, and reviews emerging technical requirements being adopted internationally for large converter-based loads. Topics include ramp-rate limits, maximum single-drop constraints, validated EMT modelling, high-resolution telemetry, and fault ride-through performance. The presentation concludes with a practical framework for integrating data centres safely while enabling flexible services such as fast frequency response, thermal shifting, and controlled compute ramping.



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar

Loading virtual attendance info...

  • Contact Event Hosts


  Speakers

Dlzar Al Kez

Topic:

AI Data Centres as Converter-Based Loads: New Stability Risks & Opportunities

Biography:

Dlzar Al Kez, PhD, CEng, MIET, FHEA is a Research Associate (Net Zero Infrastructure) at the University of Manchester and a Chartered power system engineer specialising in the stability of converter-dominated networks. His research and practice focus on system strength, grid codes, and the dynamic behaviour of large power-electronic loads and inverter-based resources, including AI data centres. He has more than 15 years of experience supporting utilities, system operators, and public-sector organisations on stability assessments, operational resilience, and future-grid transition planning. He serves as an Associate Editor for Springer Nature (Smart Grids and Sustainable Energy) and IET Smart Grid, and as a Subject Matter Expert for Elsevier.

Email:





Agenda

  • Opening & Welcome
  • Overview of AI Data Centres as Converter-Based Loads
  • System Strength & Weak Grid Considerations
  • Frequency and Voltage Stability Impacts
  • Control Interactions in Converter-Dominated Networks
  • EMT Modelling vs. RMS Approaches
  • Emerging Grid Code Requirements (Ramp Rates, Ride-Through, Visibility)
  • Integration Framework & Practical Recommendations
  • Q&A Session
  • Closing Remarks


Organized by
IEEE Power & Energy Society – Saudi Arabia Chapter

Advancing power system engineering in support of reliable, resilient, and future-ready grids

In collaboration with leading experts from academia and industry



  Media

Brochure__3.pptx__1_ 159.71 KiB