عنوان

Mathematical Programming for Power Systems Operation with Applications in Python

شابک

9781119747260

شابک

9781119747277

شابک

9781119747284

شماره

E3356

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Mathematical Programming for Power Systems Operation with Applications in Python

نام نخستين پديدآور

Alejandro Garces Ruiz.

محل نشرو پخش و غیره

Hoboken

نام ناشر، پخش کننده و غيره

John Wiley & Sons

تاریخ نشرو بخش و غیره

2021.

نام خاص و کميت اثر

xiiii, 282 p.

متن يادداشت

Includes index.

متن يادداشت

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

عنصر شناسه ای

Electric Power systems

عنصر شناسه ای

Python (Computer program language)

تقسیم فرعی موضوعی

-- Mathematical models

داده رابط بین فیلدها

a04

داده رابط بین فیلدها

a07

موضوع مستند نشده

Convex programming.

شماره رده

نشانه اثر

عنصر شناسه اي

Ruiz, Alejandro Garces,

تاريخ

1981-

کشور

ایران

سازمان

University of Tehran. Library of College of Science

تاريخ عمليات

20221102072833.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

تاريخ و ساعت مذاکره و دسترسي

UT_SCI_BL_DB_1003612_0001.pdf

فرمت انتشار

e

نوع ماده

BL

کد کاربرگه

278840

سطح دسترسي

a

تكميل شده

Y