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Optimization of Power System Problems

Methods, Algorithms and MATLAB Codes

  • Book
  • © 2020

Overview

Editors:
  1. Mahmoud Pesaran Hajiabbas

    1. Postdoctoral Fellow of Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

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  2. Behnam Mohammadi-Ivatloo

    1. Associate Professor of Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

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    You can also search for this editor in PubMed   Google Scholar

  • Covers the theoretical background and applications of optimization methods in power systems
  • Presents recent problems in optimization methods and algorithms in power systems, along with their codes in MATLAB
  • Discusses recent developments and the contribution of optimization methods and algorithms to power system management, planning, and operation

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 262)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Modelling for Composite Load Model Including Participation of Static and Dynamic Load

    • Nitin Kumar Saxena, Ashwani Kumar
    Pages 1-48

  3. A Novel Forward-Backward Sweep Based Optimal DG Placement Approach in Radial Distribution Systems

    • Farkhondeh Jabari, Somayeh Asadi, Sahar Seyed-barhagh
    Pages 49-61

  4. Optimal Capacitor Placement in Distribution Systems Using a Backward-Forward Sweep Based Load Flow Method

    • Farkhondeh Jabari, Khezr Sanjani, Somayeh Asadi
    Pages 63-74

  5. Optimal Capacitor Placement and Sizing in Distribution Networks

    • Arsalan Najafi, Ali Masoudian, Behnam Mohammadi-Ivatloo
    Pages 75-101

  6. Binary Group Search Optimization for Distribution Network Reconfiguration

    • Hamid Teimourzadeh, Behnam Mohammadi-Ivatloo, Somayeh Asadi
    Pages 103-126

  7. Combined Heat and Power Economic Dispatch Using Particle Swarm Optimization

    • Farnaz Sohrabi, Farkhondeh Jabari, Pouya Pourghasem, Behnam Mohammadi-Ivatloo
    Pages 127-141

  8. Combined Heat and Power Stochastic Dynamic Economic Dispatch Using Particle Swarm Optimization Considering Load and Wind Power Uncertainties

    • Pouya Pourghasem, Farnaz Sohrabi, Farkhondeh Jabari, Behnam Mohammadi-Ivatloo, Somayeh Asadi
    Pages 143-169

  9. Economic Dispatch of Multiple-Chiller Plants Using Wild Goats Algorithm

    • Farkhondeh Jabari, Alireza Akbari Dibavar, Behnam Mohammadi-Ivatloo
    Pages 171-194

  10. Optimization of Tilt Angle for Intercepting Maximum Solar Radiation for Power Generation

    • Amit Kumar Yadav, Hasmat Malik
    Pages 195-213

  11. Probabilistic Power Flow Analysis of Distribution Systems Using Monte Carlo Simulations

    • Farkhondeh Jabari, Maryam Shamizadeh, Behnam Mohammadi-Ivatloo
    Pages 215-232

  12. Long-Term Load Forecasting Approach Using Dynamic Feed-Forward Back-Propagation Artificial Neural Network

    • Amin Masoumi, Farkhondeh Jabari, Saeid Ghassem Zadeh, Behnam Mohammadi-Ivatloo
    Pages 233-257

  13. Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study

    • Soheil Dolatabadi, Saeid Ghassem Zadeh
    Pages 259-311

  14. Voltage Control by Optimized Participation of Reactive Power Compensation Using Fixed Capacitor and STATCOM

    • Nitin Kumar Saxena
    Pages 313-363

  15. Backward-Forward Sweep Based Power Flow Algorithm in Distribution Systems

    • Farkhondeh Jabari, Farnaz Sohrabi, Pouya Pourghasem, Behnam Mohammadi-Ivatloo
    Pages 365-382
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Keywords

About this book

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

Editors and Affiliations

  • Postdoctoral Fellow of Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Mahmoud Pesaran Hajiabbas

  • Associate Professor of Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-Ivatloo

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