Mathematical Programming for Power Systems Operation with Python Applications - (IEEE Press) by Alejandro Garces Ruiz (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><b>Explore the theoretical foundations and real-world power system applications of convex programming</b><b> </b></p> <p>In <i>Mathematical Programming for Power System Operation with Applications in Python</i>, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations.</p> <p>The author eschews concepts of topology and functional analysis found in more mathematically oriented books in favor of a more natural approach. Using this perspective, he presents recent applications of convex optimization in power system operations problems.</p> <p><i>Mathematical Programming for Power System Operation with Applications in Python</i> uses Python and CVXPY as tools to solve power system optimization problems and includes models that can be solved with the presented framework. The book also includes: </p> <ul> <li>A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacity</li> <li>Comprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimization</li> <li>Practical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoids</li> <li>In-depth examinations of convex optimization, including global optimums, and first and second order conditions</li> </ul> <p> Perfect for undergraduate students with some knowledge in power systems analysis, generation, or distribution, <i>Mathematical</i> <i>Programming for Power System Operation with Applications in Python</i> is also an ideal resource for graduate students and engineers practicing in the area of power system optimization.</p><p/><br></br><p><b> About the Author </b></p></br></br><p><b>Alejandro Garcés, PhD, </b> is a Professor at Universidad Tecnológica de Pereira in Colombia. Previously, he was a research fellow at the Norwegian University of Science and Technology in Trondheim-Norway, and an External Consultant for the Latin-American Organization of Energy and the Inter-American Development Bank. He is also Senior member of the IEEE, and Associate Editor of different IEEE and IET journals. In 2021 he was awarded with the Georg -Forster Research fellow at the Alexander von Humboldt Foundation in Germany to continue his research in collaboration with TU-Dortmund.</p>
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