Data and Modelling

General information:

• One of the core functions of GDU is modelling the Ukrainian (and wider EU) power system in its current form, as well as future iterations with an outlook twards 2030-2035.
• We model the entire power system, including components for generation, transmission, and consumption represented in both time and space. The model representation of a power system is commonly referred to as a ‘network’.
• We can model networks at various granularities and in different weather years.

Tools and methods:

• We rely mainly on PyPSA, which stands for Python for Power System Analysis. PyPSA is an open-source python module that allows users to build power system models from online, publicly available data.
• We developed an in-house PyPSA model with an associated GitHub repository.
  Currenly access is restricted as we are still actively developing it. Please reach out to us for more information or to gain access.
• It is an economic dispatch model that optimises the hourly dispatch of electricity over all nodes in a network over a given time horizon — typically one year – with the objective of minimising system costs, saving results into excel files and figures.
• Due to sensitivty of Ukrainian energy data, we collaborate directly with Ukrenergo, the Ukrainian TSO, and other relevant stakeholders to collect and corroborate sensitive data and better understand the challenges facing their power system.

Dashboards:

• We recently developed a dashboard for users to stay up to date with electricity and energy-related matters in Ukraine, which will be updated on a weekly basis. It compiles and visualises data on cross-border transmission, operating status of generators, daily power outages, day-ahead market prices for electricity, and gas storage levels.