Renewable Energy Microgeneration Systems
Customer-led energy transition to make a sustainable world
- 1st Edition - October 30, 2020
- Editors: Qiang Yang, Ting Yang, Wei Li
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 7 2 6 - 9
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 1 8 7 1 - 6
Renewable Energy Microgeneration Systems presents the latest technology advances in small-scale energy generation (electricity and heat) in the context of low/medium voltage l… Read more
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Request a sales quoteRenewable Energy Microgeneration Systems presents the latest technology advances in small-scale energy generation (electricity and heat) in the context of low/medium voltage level electric power distribution networks. With a focus on scientific innovations of the methodologies, approaches and algorithms in enabling efficient and secure operation of microgeneration systems, this book also analyzes the current understanding of motivations and barriers affecting microgeneration adoption with the aim of identifying opportunities for improving the field deployment.
Considering the recent advances of theories and implementations in modeling, design, planning and management of different forms of microgeneration systems, this reference provides applied researchers in the field of electrical engineering and renewable micro generation incredible insights into microgeneration systems technologies and the potential for new technologies and markets.
- Provides modeling and optimization methods and techniques for micro-generation systems
- Covers multidisciplinary content, providing an opportunity for different stakeholders in various engineering fields
- Includes recent research advances in the field, with a focus on real case studies and policy
Graduate students, professionals, and researchers in the area of modeling, design, planning and control of energy systems
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- About the editors
- Preface
- Acknowledgments
- Chapter 1: Coordinated cyberattacks of microgeneration systems
- Abstract
- 1.1: Security vulnerabilities and risks of microgeneration systems
- 1.2: Implementing way of coordinated cyberattacks, the optimal coordinated attack mode, and typical cases analysis
- Chapter 2: Fast probability power flow calculation of distribution networks considering dynamic correlation and high-dimensional uncertainty
- Abstract
- Acknowledgment
- 2.1: Introduction
- 2.2: Methodology
- 2.3: Case studies
- 2.4: Conclusions
- Chapter 3: Planning optimization for islanded microgrid with electric-hydrogen hybrid energy storage system based on electricity cost and power supply reliability
- Abstract
- Acknowledgment
- 3.1: Introduction
- 3.2: Microgrid system structure and energy management strategy
- 3.3: Capacity optimization configuration model
- 3.4: Solution method of microgrid optimization model
- 3.5: Case study and numerical results
- 3.6: Conclusion and remarks
- Chapter 4: Expansion planning of electric power distribution systems with microgeneration and EV charging stations
- Abstract
- 4.1: Background
- 4.2: Uncertainty modeling
- 4.3: Problem formulation
- 4.4: Case studies
- 4.5: Conclusions and remarks
- Chapter 5: Storage planning of multienergy systems
- Abstract
- 5.1: Introduction
- 5.2: Storage dispatch and storage planning
- 5.3: Life-constrained storage planning
- 5.4: Storage planning for a combined heat and power system
- 5.5: Summary and remarks
- Chapter 6: Plug and play control for islanded microgeneration systems
- Abstract
- 6.1: Introduction
- 6.2: Strategy for “plug” functionality of IMGSs
- 6.3: Strategy for “play” functionality of IMGSs
- 6.4: Conclusion and remarks
- Appendix
- Chapter 7: Evolution mechanism and harm assessment of cyber-physical cascading failures in microgeneration systems
- Abstract
- 7.1: Causes, generalized types, and propagation characteristics of cyber-physical cascading failures
- 7.2: Dynamic harm assessment of cyber-physical cascading failures during microgeneration systems’ operation
- 7.3: A tendency probability model of cyber-physical cascading failures in microgeneration systems
- Chapter 8: Early warning model of cyber-physical cascading failures in microgeneration system
- Abstract
- 8.1: Life cycle, detection method, and real-time alarm of cyber-physical cascading failures
- 8.2: Situation awareness of cyber-physical cascading failures
- Chapter 9: Resilient and sustainable microgeneration power supply for 5G mobile networks
- Abstract
- 9.1: Introduction
- 9.2: Technical challenges of microgeneration (microgrid) enabled 5G mobile networks
- 9.3: Fundamental system architecture and functionalities
- 9.4: Main system components and issues
- 9.5: System operation and management
- 9.6: Conclusion and remarks
- Chapter 10: Economic energy dispatch of microgrids using computational intelligence
- Abstract
- 10.1: Introduction
- 10.2: Solutions to economic dispatch problem
- 10.3: Discussion
- 10.4: Conclusions
- Chapter 11: Secondary frequency modulation control and stability analysis of AC microgrid based on virtual synchronous generator characteristics
- Abstract
- Acknowledgment
- 11.1: Introduction
- 11.2: Designing of grid-connected AC microgrid power generation system
- 11.3: Virtual synchronous generator droop control system
- 11.4: Simulation
- 11.5: Conclusion and remarks
- Chapter 12: Power management for dc microgrid cluster with renewable microgeneration
- Abstract
- Acknowledgment
- 12.1: Introduction
- 12.2: Proposed dc microgrid cluster topology
- 12.3: Droop control for subgrids
- 12.4: Power management among multiple subgrids
- 12.5: Matlab Simulink tests
- 12.6: Conclusion and remarks
- Chapter 13: Efficient energy management of renewable resources in microgrids
- Abstract
- Acknowledgment
- 13.1: Introduction
- 13.2: Statement of the problem
- 13.3: Improved version of a teaching- and learning-based optimization algorithm
- 13.4: Triple exponential smoothing method
- 13.5: Results and discussions
- 13.6: Conclusions and future trends
- Index
- No. of pages: 346
- Language: English
- Edition: 1
- Published: October 30, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128217269
- eBook ISBN: 9780128218716
QY
Qiang Yang
Dr. Qiang Yang obtained the BS degree (first class honors) in Electrical Engineering in 2001, and received the M.Sc. (with distinction) and Ph.D. degree both in Electronic Engineering and Computer Science from Queen Mary, University of London, London, U.K., in 2003 and 2007, respectively. He has worked as a Postdoctoral Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London, U.K., from 2007 to 2010 and involved in a number of high-profile U.K. EPSRC and European IST research projects. Currently he is an Associate Professor at College of Electrical Engineering, Zhejiang University, China, and has published more than 100 technical papers, co-authored 2 books and holds 5 national patents. His research interests over the years include communication networks, smart energy systems, and large-scale complex network modeling, control, optimization, and simulation. He is the member of various international academic bodies including IEEE, IET and IEICE as well as the Senior Member of China Computer Federation (CCF).
Affiliations and expertise
Associate Professor, College of Electrical Engineering, Zhejiang University PRCTY
Ting Yang
Dr. Ting Yang is currently a Chair professor of Electrical Theory and Advanced Technology, at the School of Electrical Engineering and Automation, Tianjin University, China. He was the cooperative research staff of Imperial College London (2008); visiting professor of University of Sydney, Australia (2015). Prof. Yang is the winner of the “New Century Excellent Talents in University Award” from Chinese Ministry of Education. He is the leader of tens of research grant projects, including the International S&T Cooperation Program of China, the National High-Tech Research and Development Program of China (863 Program), the National Natural Science Foundation of China, and so on. Prof. Yang is the chairman of two workshops of IEEE International Conference, and the editor in Chief of one of Special Issues of the international journal of DSN. He is the author/co-author of four books, more than one hundred publications in internationally refereed journals and conferences. Prof. Yang is a senior member of the Chinese Institute of Electronic, the fellow of Circuit and System committee, the fellow of Theory and Advanced Technology of Electrical Engineering, and the member of International Society for Industry and Applied Mathematics. His research fields include Smart Grid, advanced metering infrastructure, and information and communication technologies in electric power system.
Affiliations and expertise
School of Electrical Engineering and Automation, Tianjin University, Tianjin, ChinaWL
Wei Li
Dr. Li received his Ph.D. degree from the School of Information Technologies at The University of Sydney in 2012. He is currently a research fellow in the Centre for Distributed and High Performance Computing, and school of Information Technologies in The University of Sydney. His research is supported by Early Career Researcher (ECR) funding scheme and Clean energy and intelligent networks cluster funding scheme in The University of Sydney. His research interests include Internet of Things, wireless sensor network, task scheduling, resource management, optimization and nature-inspired algorithms. He is a member of IEEE and ACM
Affiliations and expertise
Research fellow in the Centre for Distributed and High Performance Computing, and school of Information Technologies in The University of Sydney, AustraliaRead Renewable Energy Microgeneration Systems on ScienceDirect