Economic Dispatch for Electricity Grids, in Python and GAMS

Use Python, Pyomo and GAMS to develop optimization models for electricity networks with energy storage & renewables.

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Economic Dispatch for Electricity Grids, in Python and GAMS

Publicado en 08 Jun 2024

What you'll learn

Learn how to model the operation of power stations, such as thermal power stations and renewables (e.g. wind farms).
Learn how to model the Energy Storage in electricity grids.
Learn how to develop the Economic Dispatch model that finds which power stations must produce the electricity needed at the smallest cost.
How to calculate the Economic value of Energy Storage.
Learn how to develop optimization models using Python, Pyomo and GAMS; these are languages for developing optimization models.
Learn how to develop a model for Wind Farms (Renewabes).
Learn how to model Carbon Dioxide (CO2) constraints to measure the CO2 emissions resulting from electricity generation.
You will learn important concepts about Electricity grids such as the per-unit system for electricity grids, DC power flow and Reliability Test Systems
You will learn important Operations-Research concepts such as Convexity, Linearity, Solvers, Optimal solution,
You can download all the code in Python/Pyomo and GAMS.
The code & videos are updated regularly. This means that the code will never feel old to you. We update it typically every 6-12 months.
No need to have prior knowledge of economics, energy or coding. The videos teach the code and theory step-by-step. We start from scratch!
The Instructor is very responsive! You can send direct messages to the Instructor and get a reply within yours!

Requirements

No prerequisites are needed. The videos teach the code and theory step-by-step. We start from scratch! No need to know economics / energy / coding.

Description

THE ALGORITHMIC ECONOMIST

I have a PhD in Economics from Imperial College London.

After having worked extensively with the application of Machine Learning, Mathematical Optimization and Data Science to Economics, I am gradually publishing the code I have used alongside very detailed video tutorials.

Subscribe to my newsletter to receive code and insights. You can find my newsletter on my profile here on Udemy.

WHAT CAREER OPTIONS YOU CAN PURSUE

The skills that you will develop will be useful if you currently work or aim to find employment in the wider area of economics, such as an economist, quantitative developer, software engineer, data scientist, financial analyst, risk analyst, investment analyst, financial consultant, research scientist, business analyst, and statistician.

WHAT YOU WILL LEARN IN THIS COURSE

You will learn how to develop optimization models in Python, Pyomo and GAMS which focus on the economics of electricity grids, energy storage, renewables, and CO2 emissions. You will include all this in an economic study called 'Economic Dispatch'.

No Prior Knowledge is necessary.

CODE

You can download all the code, in both Python and GAMS.

The code receives frequent updates. So return here to download the updated code every 5-6 months.

SUPPORT

You can reach out to me via Direct Message anytime. You can expect a reply within hours.

Who this course is for:

Economists who want to work in Energy projects.
Data Scientists who want to apply their skills in Economics and Energy.
Students who want to work in Economics and Energy.
Researchers in Economics & Energy.
Portfolio managers dealing with Energy Assets.
Software Engineers who want to develop code related to Economics and Energy.
Operations Research engineers who want to develop Optimization models for Economics and Energy.

Debes tener en cuenta que los cupones duran maximo 4 dias o hasta agotar 1000 inscripciones,pero puede vencer en cualquier momento. Obten el curso con cupon haciendo clic en el siguiente boton:

(Cupón válido para las primeras 1000 inscripciones): 3066B8E0F3A10801D45D

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