Python & GAMS Economic Dispatch with Energy Storage and Wind

In this course, you will learn:

1. How to model the operation of power stations, such as thermal power stations and renewables (e.g. wind farms).

2. How to model the Energy Storage in electricity grids

3. How to calculate the Economic value of Energy Storage

4. How to develop the Economic Dispatch model; this model finds which power stations must produce the electricity needed so that the total electricity generation cost is minimized.

5. How to develop optimization models using Python, Pyomo and GAMS; these are languages for developing optimization models.

6. How to model Carbon Dioxide (CO2) constraints to measure the CO2 emissions resulting from electricity generation.

What is Economic Dispatch

Economic Dispatch is an essential Economic study that determines how electricity grids can operate most economically.

Prior Knowledge

No prior knowledge of economics, energy, or coding is necessary, as the videos provide a step-by-step approach to both theory and code.

Energy Knowledge

You will also learn the following Energy-related skills:

– The per-unit system,

– DC power flow,

– Reliability Test Systems,

– The modelling of electricity grids

– How energy storage operates and how it is modelled in the context of electricity grids

– How wind farms operate and how they are modelled in the context of electricity grids

Operations Research

Additionally, you will learn crucial Operations-Research concepts, including:

– Convexity

– Linearity

– Solvers

– Optimal solution

Downloadable code – Regular updates

You will have access to downloadable code in Python/Pyomo and GAMS, which is regularly updated every 6-12 months.

About the Instructor:

Dr. SGianelos is the founder of the Economics Platform, dedicated to teaching Economic Theory using data science.

The platform is committed to democratizing access to high-quality Economic models at an affordable price.

Visit now our profile to explore our suite of courses.