Advanced Modelling of DER-Rich Active Distribution Networks

July 2021

Description

A 5-day PhD-level course that covers fundamental and advanced modelling of active distribution networks with deep penetration of distributed energy resources (DER).

Topics that are discussed include:

  • Power flow and optimal power flow algorithms suitable for diverse applications of active distribution networks with DER
  • Consideration for uncertainty arising from renewables
  • Provision of flexibility and grid services from DER, distributed multi-energy systems and community energy systems
  • Fundamentals of distributed energy markets.

Structure and Instructors

Each day has 4 lecture blocks (approximately 55 minutes of lecture time including Q&A).

Click on each block below to access the videos, slides and other related content.

Day 1

Prof Steven Low: The OPF Problem and Convex Relaxations

Day 2

Prof Steven Low: OPF for Distribution Networks

Day 3

Prof Nando Ochoa: Orchestration of DER and Active Distribution Networks

Day 4

Dr Maria Vrakopoulou: Decision-Making Under Uncertainty due to Renewables

Day 5

Prof Pierluigi Mancarella: DER Flexibility and Techno-Economic Modelling

  • Our Projects with Industry

    Examples of the industrial projects carried out by our research group.

  • Low-Carbon Power Systems

    Develop key expertise in the operation, planning and design of low-carbon power systems and energy markets with deep penetration of renewables, distributed energy resources, and smart grid technologies.

  • People

    View our staff listing, contact details and biographies of our researchers.

  • Smart Grid Lab

    The Smart Grid Lab provides facilities for real-time testing and demonstration of solutions developed by the group.