Optimization modeling plays a central role in solving real-world challenges in electricity systems, such as balancing power generation and demand, minimizing operational costs, and managing grid constraints.
However, many existing resources tend to focus either on theoretical aspects of optimization or rely on expensive, proprietary software tools that can limit accessibility for students and researchers. This book bridges the gap by offering a hands-on, Python-based approach to power system optimization using Pyomo.
The book is designed for:
- Graduate students studying power systems, operations research, or energy systems optimization.
- Researchers exploring optimization techniques in power systems.
- Engineers and practitioners seeking open-source alternatives to commercial tools for modeling and solving optimization problems.
- Python enthusiasts who wish to apply programming and optimization skills to the energy domain.
Textbook: Power system operations modeling and optimization using Pyomo.
