عنوان

Mathematical Programming for Power Systems Operation with Applications in Python

(Number (ISBN

9781119747260

(Number (ISBN

9781119747277

(Number (ISBN

9781119747284

Number

E3356

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Mathematical Programming for Power Systems Operation with Applications in Python

First Statement of Responsibility

Alejandro Garces Ruiz.

Place of Publication, Distribution, etc.

Hoboken

Name of Publisher, Distributor, etc.

John Wiley & Sons

Date of Publication, Distribution, etc.

2021.

Specific Material Designation and Extent of Item

xiiii, 282 p.

Text of Note

Includes index.

Text of Note

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

Entry Element

Electric Power systems

Entry Element

Python (Computer program language)

Topical Subdivision

-- Mathematical models

a04

a07

Convex programming.

Class number

Book number

Entry Element

Ruiz, Alejandro Garces,

Dates

1981-

Country

ایران

Agency

University of Tehran. Library of College of Science

Date of Transaction

20221102072833.0

Cataloguing Rules (Descriptive Conventions))

rda

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1003612_0001.pdf

e

BL

278840

a

Y