Mathematical Programming for Power Systems Operation with Python Applications
Mathematical Programming for Power Systems Operation with Python Applications
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- More about Mathematical Programming for Power Systems Operation with Python Applications
Mathematical Programming for Power System Operation with Applications in Python provides a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. It covers theoretical foundations, real-world power system applications, and practical discussions, making it an ideal resource for undergraduate students, graduate students, and engineers practicing in power system optimization.
Format: Hardback
Length: 304 pages
Publication date: 29 October 2021
Publisher: John Wiley and Sons Ltd
In "Mathematical Programming for Power System Operation with Applications in Python," Professor Alejandro Garces delves into the realm of power system operations, offering a comprehensive exploration of convex optimization models and their practical implementations in Python. This book is divided into two parts, the first providing a theoretical foundation for convex optimization models, while the second showcases their applications in power systems operations.
Rather than delving into complex topology and functional analysis concepts typically found in more mathematically oriented texts, the author adopts a more intuitive approach. This perspective allows for a clearer presentation of recent applications of convex optimization in power system operations problems.
Utilizing Python and CVXPY, the book provides a practical toolset for solving power system optimization problems. It encompasses models that can be effectively addressed using the presented framework. Additionally, the book offers a thorough introduction to power system operation, encompassing economic and environmental dispatch, optimal power flow, and hosting capacity.
Comprehensive explorations of the mathematical background of power system operation are provided, including quadratic forms, norms, and the fundamental principles of optimization. Practical discussions of convex functions and convex sets, encompassing affine and linear spaces, politopes, balls, and ellipsoids, are also included.
In-depth examinations of convex optimization, encompassing global optimums and first and second-order conditions, are conducted, making this book an invaluable resource for undergraduate students with a background in power systems analysis, generation, or distribution. Moreover, it serves as an ideal reference for professionals seeking to enhance their understanding of convex programming and its applications in power system operations.
Weight: 552g
Dimension: 161 x 240 x 22 (mm)
ISBN-13: 9781119747260
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