Robust Optimization in Electric Energy Systems

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160,49 

International Series in Operations Research & Management Science 313

ISBN: 3030851273
ISBN 13: 9783030851279
Autor: Sun, Xu Andy/Conejo, Antonio J
Verlag: Springer Verlag GmbH
Umfang: x, 329 S., 138 s/w Illustr., 21 farbige Illustr., 329 p. 159 illus., 21 illus. in color.
Erscheinungsdatum: 09.11.2021
Auflage: 1/2022
Produktform: Gebunden/Hardback
Einband: Gebunden

This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a friendly and tutorial manner. Finally, a number of insightful short- and long-term applications pertaining to the electricity sector are considered. Specifically, the book includes: robust set characterization, robust optimization, adaptive robust optimization, hybrid robust-stochastic optimization, applications to short- and medium-term operations problems in the electricity sector, and applications to long-term investment problems in the electricity sector. Each chapter contains end-of-chapter problems, making it suitable for use as a text. The purpose of the book is to provide a self-contained overview of robust optimization techniques for decision making under uncertainty in the electricity sector. The targeted audience includes industrial and power engineering students and practitioners in energy fields. The young field of robust optimization is reaching maturity in many respects. It is also useful for practitioners, as it provides a number of electricity industry applications described up to working algorithms (in JuliaOpt).

Artikelnummer: 2664218 Kategorie:

Beschreibung

A very readable expository approach appropriate for students, researchers and practitioners. First book to apply robust optimization to electric energy systems. Conejo is the most prominent researcher in electric systems, and Sun is quickly rising in the field.

Autorenporträt

Andy Sun is an assistant professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech, USA. Dr. Sun conducts research in optimization and stochastic modeling with applications in electric energy systems and electricity markets. He also works on theory and algorithms for robust and stochastic optimization, and large scale convex optimization. Antonio J. Conejo received an M.S. from MIT, US and a Ph.D. from the Royal Institute of Technology, Sweden. He has published over 190 papers in refereed journals and is the author or coauthor of books published by Springer, John Wiley, McGraw-Hill and CRC Press. He has been the principal investigator of many research projects financed by public agencies and the power industry and has supervised 19 PhD theses. He is an IEEE Fellow.

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E-Mail: juergen.hartmann@springer.com

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