Abstract

"The energy sector has witnessed transformative advancements over the past few decades. Power systems, which form the backbone of modern society, have grown increasingly complex with the integration of renewable energy sources, energy storage, and emerging technologies. As these systems evolve, so does the need for efficient operation and optimization strategies to ensure reliability, sustainability, and economic performance.

Optimization plays a central role in solving real-world challenges 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, a popular open-source optimization modeling language. Whether you are a graduate student, a researcher, or a power system engineer, this book will equip you with the tools and techniques to model, analyze, and optimize a wide variety of power system problems in a practical, reproducible manner."-- Preface, p. 2

Recommended Citation

Heidari, Ahmad and Bo, Rui, "Power System Operations Modeling and Optimization Using Pyomo" (2025). Graduate Student Research & Creative Works. 6.
https://scholarsmine.mst.edu/gradstudent_works/6