Mathematical Programming for Power Systems Operation: From Theory to Applications in Python - Rilegato

Garces, Alejandro

 
9781119747260: Mathematical Programming for Power Systems Operation: From Theory to Applications in Python
Rilegato
ISBN 10: 1119747260 ISBN 13: 9781119747260
Casa editrice: Wiley-IEEE Press, 2021

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Alejandro Garcés, PhD, 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.

Dalla quarta di copertina

Explore the theoretical foundations and real-world power system applications of convex programming

In Mathematical Programming for Power Systems Operation: From Theory to Applications in Python, Professor Alejandro Garcés 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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Wiley-IEEE Press
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
1119747260
ISBN 13 
9781119747260
Rilegatura
Copertina rigida
Numero di pagine
304
Contatto del produttore
non disponibile
Persona responsabile
non disponibile