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The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems

Volume VII

Aimin Sha Zhigang Liu Xiaojun Wang Qian Xiao

$683.95   $547.46

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English
Springer Nature Switzerland AG
25 February 2025
This conference is one of the most significant annual events of the China Electrotechnical Society, showcasing the latest research trends, methodologies, and experimental results in electrical, electronic, and networked energy systems. The proceedings cover a wide range of cutting-edge theories and ideas, including topics such as power systems, power electronics, smart grids, renewable energy, energy integration in transportation, advanced power technologies, and the energy internet.

The aim of these proceedings is to provide a key interdisciplinary platform for researchers, engineers, academics, and industry professionals to present groundbreaking developments in the field of electrical, electronic, and networked energy systems. It also offers engineers and researchers from academia, industry, and government a comprehensive view of innovative solutions that integrate concepts from multiple disciplines.

These volumes serve as a valuable reference for researchers and graduate students in electrical engineering.
Edited by:   , , , ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Volume:   1331
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9789819618637
ISBN 10:   9819618630
Series:   Lecture Notes in Electrical Engineering
Pages:   572
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Research on the operation reliability optimization strategy of power distribution system with various distributed resources.- Research on Commutation Control Strategy of DC Microgrid Bidirectional Converter.- Effectiveness test and application of alarm strategy for ultra-high frequency online monitoring equipment.- Single-phase AC-DC-AC Converter Control Strategy For Secondary Ripple Influence Suppressing.- Scheduling Optimization Model for Micro Energy Grid Group Flexibility Response to Superior Power Grid.

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