Power System Economic Dispatch: Storage & Carbon Modeling

From 1-Bus to 24-Bus Systems with Wind, Storage & Carbon Limits

EXTRAS

There are entire books and hundreds of papers & Python models available to download in my Skool community. I also have Financial Times articles , and over 100 online courses on Python modelling of energy markets, energy investments  etc. 

I also post job opportunities for the wider energy sector.

The value is immense!

I also do supervision which means when you start learning a course, you can message me as many questions as you need, any time e.g. daily.

This link below offers 7 days free access to this Skool community. No obligation to pay anything in advance. At the end of the 7- day period, you can decide whether you want to continue at $25/month or just cancel and leave.
Honestly, the $25/month is a very generous price . You will realise it once you join. Universities , colleges, would charge thousands! This is really a unique opportunity of immense value, at a really low cost!

Link:  www     [dot]      skool      [dot]       com/software-school-for-energy-7177

WHO I AM: 

Researcher and educator specializing in energy data science (PhD in Energy)

REGULAR ENHANCEMENTS:

Course reviewed periodically with updates.

What You'll Learn:

• How to build and solve economic dispatch models using Python (Pyomo) and GAMS for power system optimization

• How to model energy storage systems and analyze their economic impact on grid operations

• How to incorporate CO₂ constraints and carbon pricing into dispatch optimization models

• How to integrate renewable energy (wind) into economic dispatch with storage solutions

• How to scale from simple 1-bus systems to complex 24-bus reliability test systems

• How to debug optimization models and interpret solver outputs for operational insights

• How to analyze convexity of objective functions and constraint impacts on solutions

• How to export results to Excel and create visualizations for investment decision-making

Perfect For:

• Power system engineers optimizing grid operations and dispatch strategies

• Energy analysts evaluating storage economics and carbon reduction pathways

• Utility professionals planning renewable integration and storage investments

• Energy consultants advising on grid flexibility and decarbonization

• Graduate students in electrical engineering or energy systems

• Energy economists modeling electricity markets and storage value

• Grid operators managing real-time dispatch with environmental constraints

• Anyone working on power system optimization and energy transition

Why This Matters:

Economic dispatch is the backbone of power system operations, determining which generators run when to minimize costs while meeting demand. With energy storage becoming cost-competitive and carbon constraints tightening, traditional dispatch models need updating. The global energy storage market is projected to reach $120 billion by 2030, and professionals who can model storage value streams are essential. Understanding how to optimize dispatch with storage can reduce system costs by 20-30% while enabling 50%+ renewable penetration. As grids worldwide integrate batteries, pumped hydro, and emerging storage technologies, the ability to model their economic impact becomes critical for investment decisions worth billions. Whether optimizing utility-scale operations or designing microgrids, these skills are vital for energy analysts ($80,000-140,000), power system engineers ($90,000-160,000), and energy consultants ($100,000-180,000+). Master the optimization techniques used by ISOs, utilities, and energy trading desks worldwide.