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

  • Block 1: Power flow models and solutions
  • Block 2: OPF and semidefinite relaxations
  • Block 3: Analytical properties
  • Block 4: Other convex relaxations

Day 2

Prof Steven Low: OPF for Distribution Networks

  • Block 1: Branch flow models for radial networks
  • Block 2: OPF and semidefinite relaxations
  • Block 3: Multi-phase unbalanced radial networks
  • Block 4: Example and application

Day 3

Prof Nando Ochoa: Orchestration of DER and Active Distribution Networks

Day 4

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

  • Block 1: Renewable energy integration challenges
  • Block 2: Stochastic OPF with approximate solutions
  • Block 3: Stochastic OPF with AC-feasible solutions
  • Block 4: Co-optimization of energy and reserves

Day 5

Prof Pierluigi Mancarella: DER Flexibility and Techno-Economic Modelling

  • Block 1: Modelling flexibility from DER aggregation
  • Block 2: Flexibility from distributed multi-energy systems
  • Block 3: Smart districts and community energy systems
  • Block 4: Distributed energy marketplaces and grid services