Introduction
Chapter in an edited book (author)
Full Text
Digital Object Identifier (DOI) DOI for CUHK Users View Full-text in Publisher Website |
Altmetrics Information
.
Other information
AbstractThe electrical power system is one of the largest complex networks, which significantly changes human life and society development. With more than 100 years of development, the modern power system is facing a dramatic innovation recently. Not only it includes the renovation of power system operation rules with novel technologies such as the new electricity market rules and big data analytics, but it also involves the unprecedented deep coupling with other systems such as communication system and traffic system. To provide a deep understanding of the modern power system, this book gives an overview of modern power systems in Chapter 1. Then, Chapter 2 introduces the fundamental power system mathematical models for the theoretical analysis of the advanced modern power system technologies. In Chapter 3, the advanced renewable integration and system optimization are analyzed from the transmission and distribution system sides, respectively. In Chapter 4, the modern power system market is comprehensively studied from multiple different perspectives. In Chapter 5, the power system wide area monitoring is discussed by using big data technique. In Chapter 6, combined with the machine learning technologies, the advanced modern forecasting technologies are studied. In Chapter 7, considering the integration of multi-energy resources, the power system is studied with different energy resources such as gas and petroleum, and the social impacts are discussed as well. In Chapter 8, multi-system integration is considered such as communication system with cybersecurity, transportation system with electric vehicle and unmanned driving, and social energy.
All Author(s) ListYan Li, Changhong Zhao, Huaiguang Jiang, Yingchen Zhang, Eduard Muljadi
All Editor(s) ListHuaiguang Jiang, Yingchen Zhang, Eduard Muljadi
Edition1st
Book titleNew Technologies for Power System Operation and Analysis
Year2020
Month10
Day21
PublisherAcademic Press
Pages1 - 21
ISBN9780128201688
eISBN9780128201695
LanguagesEnglish-United States
