Industrial/PhD Course: Electricity Markets and Power System Optimization
16.06.2021 kl. 08.30 - 18.06.2021 kl. 16.30
Z. Chen, Professor firstname.lastname@example.org, Aalborg University, Denmark
Andrés Ramos Galán, Professor Andres.Ramos@comillas.edu, Universidad Pontificia Comillas, Spain
This course provides a detailed description of decision-making tools for modern power systems under the market environment, addressing the perspectives transmission expansion planning, unit commitment and economic dispatch. These tools rely on stochastic optimization, complementarity theory and decomposition algorithms.
The main topics are as follows:
- Introduction to the electricity market organization
- Modeling the competition in electric energy markets
- Stochastic unit commitment to coop with the renewable generation
- Probabilistic midterm transmission expansion planning in liberalized markets
- Decomposition for large-scale optimization problems
Day 1: Impact of renewable energy sources in short-term generation planning. Stochastic Daily Unit Commitment. Implementations in GAMS, Julia and Python. Andrés Ramos (7 h)
Uncertainty and variability of renewable generation resource may drastically affect the short-term operation planning of the electric system. This module will cover how to introduce these specific characteristics of renewables in a unit commitment model.
Day 2: Medium-term Stochastic Hydrothermal Coordination Model. Scenario tree. Stochastic measures. Implementation in GAMS. Andrés Ramos (7 h)
Some generation resources, such as hydro reservoirs, require a medium-term (weekly, monthly, annual) vision for their efficient operation. This module will include this medium-term scope in your decision-making.
Day 3: Generation and Transmission Expansion Planning. Implementation in GAMS. Andrés Ramos (7 h)
Power generators and transmission lines are capital-intensive infrastructure whose lifetimes span from 15 to 40 years. Decisions of today will last several years and may compromise climate change objectives. Expansion planning is the framework to understand the implications of long-term decisions and they can help in climate change policies.
Background in power system optimization, and fundamental knowledge in electricity markets.
Form of evaluation:
Assignments to be completed, then the reports to be submitted and evaluated after the course
6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry.
Department of Energy Technology, Aalborg University
27.05.2021 kl. 00.00