Optimization in Renewable Energy Systems - Erdinc, Ozan (Associate Professor, Department of Electrical Engineer
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Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric…mehr

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Produktbeschreibung
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students.
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Autorenporträt
Ozan Erdinç is an Associate Professor at Department of Electrical Engineering, Yildiz Technical University, Turkey. He has worked in various positions in the private sector. He is a senior member of IEEE and the Chair of IEEE Power & Energy Society (PES), Turkey Chapter. He is also an editorial board member of several international journals, including IEEE Transactions on Sustainable Energy and IET Renewable Power Generation.