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

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Synopsis
Explore the theoretical foundations and real-world power system applications of convex programming In Mathematical 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 Python 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: A thorough introduction to power system operation, including economic and environmental dispatch, optimal power flow, and hosting capacity Comprehensive explorations of the mathematical background of power system operation, including quadratic forms and norms and the basic theory of optimization Practical discussions of convex functions and convex sets, including affine and linear spaces, politopes, balls, and ellipsoids In-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 Python is also an ideal resource for graduate students and engineers practicing in the area of power system optimization.
Copyright:
2022

Book Details

Book Quality:
Publisher Quality
Book Size:
368 Pages
ISBN-13:
9781119747284
Related ISBNs:
9781119747291, 9781119747260
Publisher:
Wiley
Date of Addition:
Copyrighted By:
The Institute of Electrical and Electronics Engineers, Inc.
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Science
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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