Distributionally Robust Optimization and Its Applications in Power System Energy Storage Sizing (分佈式穩健優化及其在電力系統儲能規模中的應用)

Xie, Rui, Wei, Wei

Distributionally Robust Optimization and Its Applications in Power System Energy Storage Sizing
  • 出版商: Springer
  • 出版日期: 2024-05-23
  • 售價: $7,780
  • 貴賓價: 9.5 折 $7,391
  • 語言: 英文
  • 頁數: 452
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819725658
  • ISBN-13: 9789819725656

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integrated power systems, providing readers with an efficient and reliable approach to analyze and design real-world energy systems with uncertainties.

Covering a diverse range of topics, this book starts by exploring the necessity for energy storage in evolving power systems and examining the benefits of employing distributionally robust optimization. Subsequently, the cutting-edge mathematical theory of distributionally robust optimization is presented, including both the general theory and moment-based, KL-divergence, and Wasserstein-metric distributionally robust optimization theories. The techniques are then applied to various practical energy storage sizing scenarios, such as stand-alone microgrids, large-scale renewable power plants, bulk power grids, and multi-carrier energy networks.

This book offers clear explanations and accessible guidance to bridge the gap between advanced optimization methods and industrial applications. Its interdisciplinary scope makes the book appealing to researchers, graduate students, and industry professionals working in electrical engineering and operations research, catering to both beginners and experts.

商品描述(中文翻譯)

本書介紹了分佈魯棒優化（DRO）的數學基礎，針對具有模糊不確定性的決策問題，並應用於解決可再生能源整合電力系統中能源儲存規模的關鍵挑戰，為讀者提供了一種高效且可靠的方法來分析和設計具有不確定性的現實能源系統。

本書涵蓋多樣的主題，首先探討了在不斷演變的電力系統中能源儲存的必要性，並檢視了採用分佈魯棒優化的好處。隨後，介紹了分佈魯棒優化的前沿數學理論，包括一般理論以及基於矩的、KL散度和Wasserstein度量的分佈魯棒優化理論。這些技術隨後應用於各種實際的能源儲存規模情境，例如獨立微電網、大型可再生能源發電廠、大宗電力網絡和多載體能源網絡。

本書提供清晰的解釋和易於理解的指導，旨在彌合先進優化方法與工業應用之間的鴻溝。其跨學科的範疇使本書對於從事電機工程和運籌學的研究人員、研究生及業界專業人士都具有吸引力，適合初學者和專家閱讀。

作者簡介

Rui Xie received the B.E. degree in electrical engineering and the B.Sc. degree in mathematics in 2017, and the Ph.D. degree in electrical engineering in 2022 from Tsinghua University, Beijing, China. She is currently a postdoctoral fellow with the Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong, Hong Kong SAR. Her current research interests include stochastic optimization problems in power systems.

Wei Wei received the B.Sc. degree and Ph.D. degree both in electrical engineering from Tsinghua University, Beijing China, in 2008 and 2013, respectively. He was a Postdoc Research Associate with Tsinghua University from 2013 to 2015. As a visiting scholar, he worked with Professor Lang Tong at Cornell University, Ithaca, NY, USA from March to December in 2014, and with Professor Na Li at Harvard University, Cambridge, MA, USA from December 2014 to March 2015. He joined Tsinghua University as a faculty in July 2015. He is currently a Tenured Associate Professor with the Department of Electrical Engineering. Dr. Wei is a Fellow of the Institution of Engineering and Technology and the Operational Research Society.

作者簡介(中文翻譯)

Rui Xie於2017年獲得清華大學（中國北京）電機工程學士學位及數學學士學位，並於2022年獲得電機工程博士學位。她目前是香港中文大學機械與自動化工程系的博士後研究員。她目前的研究興趣包括電力系統中的隨機優化問題。

Wei Wei於2008年和2013年分別獲得清華大學（中國北京）電機工程學士學位和博士學位。他於2013年至2015年擔任清華大學的博士後研究助理。作為訪問學者，他於2014年3月至12月在美國紐約州伊薩卡的康奈爾大學與Lang Tong教授合作，並於2014年12月至2015年3月在美國麻薩諸塞州劍橋的哈佛大學與Na Li教授合作。他於2015年7月加入清華大學擔任教職，目前是電機工程系的終身副教授。Wei博士是工程技術學會和運籌學會的會士。

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