[NOVA Math] Course of Data Science

The Center of Mathematics and Applications (NOVA Math), promote the Course of Data Science with the title: “Optimization Models for Unit Commitment in Electric Energy Systems”. Miguel F. Anjos (University of Edinburgh) is the speaker.

Description: The unit commitment (UC) problem addresses a fundamental decision that is taken when operating a power system, namely to set the schedule of power production for each generating unit in the system so that the demand for electricity is met at minimum cost. The schedule must also ensure that each unit operates within its technical limits; these typically include ramping constraints and minimum uptime/downtime constraints. Units that are scheduled to produce electricity during a given time period are said to be committed for that period. Various jurisdictions solve UC on a daily basis. In particular, it is the standard tool to clear spot markets, and particularly the day-ahead markets in the USA. In North American jurisdictions without markets, the system operators use UC to determine the day-ahead commitments and dispatches. This mini-course will cover some of the most relevant mathematical optimization models for UC and lead up to open research problems.

Part I - Basics of Unit Commitment and Modern Electric Energy Systems
Part II - Unit Commitment Under Uncertainty Additional Topics

The lectures will be based on the tutorial: M.F. Anjos and A.J. Conejo. Unit Commitment in Electric Energy Systems, Now Foundations and Trends, 2017 (ISBN 978-1-68083-370-6). http://dx.doi.org/10.1561/3100000014

Participants should have a laptop computer with access to the internet. No specific software is required. Knowledge of AMPL or a similar optimization modelling language will help but is not essential as the mini-course will be self-contained in this regard.

Wednesday, 27 november, 15h00 to 18h00.

Thursday, 28 november, 14h00 to 17h00.