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Computational Methods for Large Sparse Power Systems Analysis

An Object Oriented Approach

  • Book
  • © 2002

Overview

Authors:
  1. S. A. Soman

    1. Indian Institute of Technology Bombay, India

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  2. S. A. Khaparde

    1. Indian Institute of Technology Bombay, India

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  3. Shubha Pandit

    1. Sardar Patel College of Engineering, India

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Part of the book series: Power Electronics and Power Systems (PEPS)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xx
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  2. Introduction

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 1-5

  3. Object Orientation for Modeling Computations

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 7-30

  4. Data Structure for Sparse Matrix Computation

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 31-51

  5. Sparse Symmetric Linear System Solver

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 53-78

  6. Sparse QR Decomposition

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 79-102

  7. Optimization Methods

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 103-132

  8. Sparse LP and QP Solvers

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 133-145

  9. Load Flow Analysis

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 147-178

  10. Short Circuit Analysis

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 179-212

  11. Power System State Estimation

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 213-256

  12. Optimal Power Flow

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 257-292

  13. Power System Dynamics

    • S. A. Soman, S. A. Khaparde, Shubha Pandit
    Pages 293-316

  14. Back Matter

    Pages 317-335
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Keywords

About this book

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.
Other Special Features:
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.

Authors and Affiliations

  • Indian Institute of Technology Bombay, India

    S. A. Soman, S. A. Khaparde

  • Sardar Patel College of Engineering, India

    Shubha Pandit

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