© 2017

Power System Optimization Modeling in GAMS


Table of contents

  1. Front Matter
    Pages i-xxi
  2. Alireza Soroudi
    Pages 1-32
  3. Alireza Soroudi
    Pages 33-63
  4. Alireza Soroudi
    Pages 65-93
  5. Alireza Soroudi
    Pages 95-118
  6. Alireza Soroudi
    Pages 119-140
  7. Alireza Soroudi
    Pages 141-173
  8. Alireza Soroudi
    Pages 175-201
  9. Alireza Soroudi
    Pages 203-225
  10. Alireza Soroudi
    Pages 227-264
  11. Alireza Soroudi
    Pages 265-292
  12. Back Matter
    Pages 293-295

About this book


This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems. This book is the first of its kind to provide readers with a comprehensive reference that includes the solution codes for basic/advanced power system optimization problems in GAMS, a computationally efficient tool for analyzing optimization problems in power and energy systems. The book covers theoretical background as well as the application examples and test case studies.  It is a suitable reference for dedicated and general audiences including power system professionals as well as researchers and developers from the energy sector and electrical power engineering community and will be helpful to undergraduate and graduate students. 


Power System Operation and Planning Multi-objective Optimization Energy Storage Energy Systems Integration Energy Hubs GAMS Elements PMU Placement MATLAB

Authors and affiliations

  1. 1.School of Electrical EngineeringUniversity College of DublinBelfieldIreland

About the authors

Dr. Alireza Soroudi received the B.Sc. and M.Sc. degrees from Sharif University of Technology, Tehran, Iran, in 2002 and 2004, respectively, both in electrical engineering and Ph.D. degree in electrical engineering from Grenoble Institute of Technology (Grenoble-INP), Grenoble, France, in 2011. He is the winner of the ENRE Young Researcher Prize at the INFORMS 2013. He is awarded prestigious Science Foundation Ireland Industry Fellowship in 2016 to work in EirGrid. He is currently a senior power system researcher with the School of Electrical Engineering, University College Dublin with research interests in uncertainty modelling and optimization techniques applied to smart power system planning and operation.

Bibliographic information

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