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

Name: Mathematical Programming for Power Systems Operation - From Theory to Applications in Python
Brand: John Wiley and Sons Ltd
SKU: 9781119747260
Price: 47651 HUF
Availability: InStock

Szerző: Alejandro Garces Ruiz

Nyelv:

Kötés: Kemény kötésű

Kiadó: John Wiley and Sons Ltd

Elérhetőség: Beszállítói készleten

Küldés 9-15 napon belül

47 651 Ft

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

Információk a könyvről

Szerző

Alejandro Garces Ruiz

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2021

oldal

304

EAN

9781119747260

ISBN

1119747260

Enbook ID

35977107

Kiadó

John Wiley and Sons Ltd

Súly

552

Méretek

240 x 161 x 22

Teljes leírás

Explore the theoretical foundations and real-world power system applications of convex programmingIn 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 conditionsPerfect 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.

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

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