Smart Grid Laboratory

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Dr Shahab Dehghan

Planning of resilient, low-cost, Microgrids

Agnes Nakiganda

Control and operation of resilient Microgrids

Ambreen Khurram

Data-driven Anomaly Detection

Ifeoma Uchenna Onugha

Centralised and decentralised optimal peer-to-peer energy trades based on dynamic consensus algorithms

Sultan M Alghamdi

Delay-Robust Distributed Secondary Frequency Control in Power Systems

E4R

Education for Renewables

CRESM-HYRES

Creating Resilient Sustainable Micro-Grids through Hybrid Renewable Energy Systems

VPP-EMS

Optimal Dispatch of Virtual Power Plant using Cyber-Physical Controller for Real-Time EMS

TDNetGen

An open-source, parametrizable, large-scale, combined, transmission and distribution test system

RAMSES

RApid Multiprocessor Simulation of Electric power Systems

Recent & Upcoming Talks

More Talks

Data-driven decentralised control design in Active Distribution Networks
Mon, Feb 4, 2019
Decentralised control of active distribution grids using optimisation and machine learning techniques
Fri, Apr 20, 2018
Mitigating operational risk through increased real-time system awareness
Tue, Sep 19, 2017

Teaching

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Develop and test frequency control in a Smart Grid Lab

Modelling and analysis of a dynamic Microgrid model for frequency studies.

Unleash the power of data science to support the development of Smart Grids.

Modelling and analysis of HVDC technologies.

Building computational tools for Smart Grids.

Increasing Smart Grid on-line awareness through remote sensing.

Increasing Smart Grid awareness through remote sensing.

Things to check before you ask.

Can you build a Human-machine interface for Smart Grids?

Contact

  • p.aristidou@leeds.ac.uk
  • @apetros on Keybase.
  • School of Electronic & Electrical Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, United Kingdom.