Mathematical Programming for Power Systems Operation From Theory to Applications in Python (IEEE Press)

Author: Baturi | 09 March 2022 |

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Mathematical Programming for Power Systems Operation From Theory to Applications in Python (IEEE Press)

InMathematical Programming for Power System Operation with Applications in Python, 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.
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.
Mathematical Programming for Power System Operation with Applications in Pythonuses 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
A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacityComprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimizationPractical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoidsIn-depth examinations of convex optimization, including global optimums, and first and second order conditions
Perfect for undergraduate students with some knowledge in power systems analysis, generation, or distribution,Mathematical Programming for Power System Operation with Applications in Pythonis also an ideal resource for graduate students and engineers practicing in the area of power system optimization.

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