Power System Optimization Modeling in GAMS - Soroudi, Alireza
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
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.