Computational Methods for Large Sparse Power Systems Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Computational Methods for Large Sparse Power Systems Analysis

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Soman, S. A./ Khaparde, S. A./ Pandit, Shubha 作者
Kluwer Academic Pub
譯者
2001-11 出版日期
360 頁數
$ 254.25 價格
HRD
叢書系列
9780792375913 圖書編碼

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Computational Methods for Large Sparse Power Systems Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Computational Methods for Large Sparse Power Systems Analysis 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Computational Methods for Large Sparse Power Systems Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Computational Methods for Large Sparse Power Systems Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Computational Methods for Large Sparse Power Systems Analysis 在線電子書 圖書描述

Computational methods in Power Systems require significant inputs from diverse disciplines, such as data base structures, numerical analysis etc. Strategic decisions in sparsity exploitation and algorithm design influence large-scale simulation and high-speed computations. Selection of programming paradigm shapes the design, its modularity and reusability. This has a far reaching effect on software maintenance. "Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach" provides a unified object oriented (OO) treatment for power system analysis. Sparsity exploitation techniques in OO paradigm are emphasized to facilitate large scale and fast computing. Specific applications like large-scale load flow, short circuit analysis, state estimation and optimal power flow are discussed within this framework.A chapter on modeling and computational issues in power system dynamics is also included. Motivational examples and illustrations are included throughout the book. A library of C++ classes provided along with this book has classes for transmission lines, transformers, substation etc. A CD-ROM with C++ programs is also included. It contains load flow, short circuit analysis and network topology processor applications. Power system data is provided and systems up to 150 buses can be studied. This book is the first of its kind, covering power system applications designed with an OO perspective. Chapters on object orientation for modeling of power system computations, data structure, large sparse linear system solver, sparse QR decomposition in an OO framework are special features of this book.

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