Optimization plays a pivotal role in enhancing the efficiency and reliability of modern power systems. Constrained and Unconstrained Optimization Solutions in Power System delves into the mathematical foundations and practical applications of optimization techniques, addressing challenges faced by engineers and researchers in this dynamic field. This book bridges theory and practice, offering insights into solving complex power system problems such as economic dispatch, unit commitment, load flow analysis, and renewable integration. Designed for academics, professionals, and students, the text explores constrained optimization methods like linear programming and dynamic programming alongside unconstrained techniques such as gradient-based methods. Real-world case studies and computational examples enrich the reader's understanding, ensuring applicability across diverse scenarios. By blending rigorous analysis with practical implementation, this book aspires to empower its readers to tackle optimization challenges head-on, driving innovation and sustainability in power systems. We hope this work serves as a valuable resource in your journey.