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Merging optimization and control in power systems : physical and cyber restrictions in distributed frequency control and beyond / Feng Liu, Tsinghua University, Zhaojian Wang, Shanghai Jiao Tong University, Changhong Zhao, The Chinese University of Hong Kong, Peng Yang, Tsinghua University .

By: Material type: TextTextSeries: Wiley-IEEE press book series on control systems theory and applicationsPublication details: Hoboken, New Jersey : John Wiley & Sons, ©2022.Edition: First editionDescription: 414 pages ; 23 cmISBN:
  • 9781119827924
Subject(s): Additional physical formats: Online version:: Merging optimization and control in power systemsDDC classification:
  • DC 621.317 2022 L740
LOC classification:
  • TK1007 .L58 2022
Summary: "With the increasing penetration of renewable energy sources and the promotion of Energy Internet, the power system is in a significant transition period, bringing major challenges for power system control. This book aims to provide a comprehensive and systematic framework to design distributed optimal controllers with cyber and physical restrictions. It introduces the idea of bridging the gap between optimization and control and shows how to handle various kinds of physical and cyber restrictions or special considerations. Related state-of-the-art methods are introduced and illustrated in detail with hands-on examples for readers to learn how to use them to address real control design problems in practice. Requiring foundational knowledge of power system analysis, operation, and dynamics, convex optimization theory, and control theory, this is an advanced level treatment for students, academics, and professional engineers"--
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Item type Current library Collection Call number Status Date due Barcode
Circulation Circulation UM Digos College - LIC Circulation DC 621.317 L740 2022 (Browse shelf(Opens below)) Available 27872

Includes index.

"With the increasing penetration of renewable energy sources and the promotion of Energy Internet, the power system is in a significant transition period, bringing major challenges for power system control. This book aims to provide a comprehensive and systematic framework to design distributed optimal controllers with cyber and physical restrictions. It introduces the idea of bridging the gap between optimization and control and shows how to handle various kinds of physical and cyber restrictions or special considerations. Related state-of-the-art methods are introduced and illustrated in detail with hands-on examples for readers to learn how to use them to address real control design problems in practice. Requiring foundational knowledge of power system analysis, operation, and dynamics, convex optimization theory, and control theory, this is an advanced level treatment for students, academics, and professional engineers"--

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