Large-Scale Integrated Energy Systems -  Zhaoxia Jing,  Qing-Hua Wu,  Jiehui Zheng,  Xiaoxin Zhou

Large-Scale Integrated Energy Systems (eBook)

Planning and Operation
eBook Download: PDF
2019 | 1. Auflage
XV, 193 Seiten
Springer Singapore (Verlag)
978-981-13-6943-8 (ISBN)
Systemvoraussetzungen
117,69 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES). It establishes individual-based models for LSIES and develops multi-objective optimization algorithms and multi-attribute decision making support systems, which are applied to the planning and optimal operation of LSIES. It is a valuable reference work for researchers, students and engineers who are interested in energy systems, operation research and decision theory.



Q.H. Wu obtained his M.Sc. (Eng) degree in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 1981. From 1981 to 1984, he was appointed Lecturer in Electrical Engineering in the University. He obtained a Ph.D. degree in Electrical Engineering from The Queen's University of Belfast (QUB), Belfast, U.K. in 1987. He worked as a Research Fellow and subsequently a Senior Research Fellow in QUB from 1987 to 1991.  He joined the Department of Mathematical Sciences, Loughborough University, Loughborough, U.K. in 1991, as a Lecturer, subsequently he was appointed Senior Lecturer. In September, 1995, he joined The University of Liverpool, Liverpool, U.K. to take up his appointment to the Chair of Electrical Engineering in the Department of Electrical Engineering and Electronics. Now he is with the School of Electric Power Engineering, South China University of Technology, Guangzhou, China, as a Distinguished Professor and the Director of Energy Research Institute of the University. Professor Wu has authored and coauthored more than 440 technical publications, including 240 journal papers, 20 book chapters and 3 research monographs published by Springer. He is a Fellow of IEEE, Fellow of IET, Chartered Engineer and Fellow of InstMC. His research interests include nonlinear adaptive control, mathematical morphology, evolutionary computation, power quality and power system control and operation. 

J.H. Zheng obtained his B.E. degree in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2012. He obtained his Ph.D. degree at the same area in South China University of Technology, Guangzhou, China, in 2017. His research interests include the area of optimization algorithms, decision making methods and their applications on integrated energy systems. 

Z.X. Jing obtained her B.E. degree and Ph.D. degree in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 1997 and 2003, respectively. Then she joined the School of Electric Power Engineering, South China University of Technology, Guangzhou, China, in 2006 and now is a full Professor. Her research interests include power system analysis, electricity market and agent-based power system simulation. 

X.X. Zhou graduated from Tsinghua University in 1965. He is the Honorary President of China Electric Power Research Institute (CEPRI), academician of Chinese Academy of Science, and IEEE Fellow. He received an IEEE Nari Hingorani FACTS award in 2008. His main research interests include power system analysis and control, power system digital simulation, Flexible AC Transmission System (FACTS).


This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES). It establishes individual-based models for LSIES and develops multi-objective optimization algorithms and multi-attribute decision making support systems, which are applied to the planning and optimal operation of LSIES. It is a valuable reference work for researchers, students and engineers who are interested in energy systems, operation research and decision theory.
Erscheint lt. Verlag 29.6.2019
Sprache englisch
Themenwelt Technik Elektrotechnik / Energietechnik
Wirtschaft Betriebswirtschaft / Management Planung / Organisation
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte Coordinated Scheduling Strategy • District Heating and Cooling Sytems • Integrated Energy System • Multi-attribute decision making • Multi-Objective Optimization • Planning and Operation
ISBN-10 981-13-6943-7 / 9811369437
ISBN-13 978-981-13-6943-8 / 9789811369438
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 6,5 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Ein Lehr- und Managementbuch

von Dietmar Vahs

eBook Download (2023)
Schäffer-Poeschel Verlag
44,99
Ein Lehr- und Managementbuch

von Dietmar Vahs

eBook Download (2023)
Schäffer-Poeschel Verlag
44,99