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E-raamat: Smart Power Distribution Systems: Control, Communication, and Optimization

Edited by (School of Electrical Engineering and Automation, Tianjin University, Tianjin, China), Edited by (Centre for Distributed and High Performance Computing, The Unive), Edited by (Associate Professor, College of Electrical Engineering, Zhejiang University PRC)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 17-Oct-2018
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780128123256
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 17-Oct-2018
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780128123256
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Smart Power Distribution Systems: Control, Communication, and Optimization explains how diverse technologies work to build and maintain smart grids around the globe. Yang, Yang and Li present the most recent advances in the control, communication and optimization of smart grids and provide unique insight into power system control, sensing and communication, and optimization technologies. The book covers control challenges for renewable energy and smart grids, communication in smart power systems, and optimization challenges in smart power system operations. Each area discussed focuses on the scientific innovations relating to the approaches, methods and algorithmic solutions presented.

Readers will develop sound knowledge and gain insights into the integration of renewable energy generation in smart power distribution systems.

  • Presents the latest technological advances in electric power distribution networks, with a particular focus on methodologies, approaches and algorithms
  • Provides insights into the most recent research and developments from expert contributors from across the world
  • Presents a clear and methodical structure that guides the reader through discussion and analysis, providing unique insights and sound knowledge along the way
List of contributors
xiii
About the editors xvii
Preface xix
Acknowledgments xxi
Organization of this book xxiii
Part One Modeling and Control of Smart Power Distribution Network (Control Aspect)
1(160)
1 An overview of codes and control strategies for frequency regulation in wind power generation
3(18)
Zhen Wang
Kit Po Wong
S.S. Choi
Deqiang Gan
Yi Zong
1.1 Introduction
3(1)
1.2 Grid codes on frequency regulation
4(3)
1.3 Frequency regulation framework
7(1)
1.4 System-level control
8(1)
1.5 Plant/farm-level coordinated control
9(1)
1.6 WTG-level control strategy
10(5)
1.7 Discussion
15(2)
1.8 Conclusion
17(1)
Acknowledgment
17(1)
References
18(3)
2 A two-stage reserve scheduling considering wind turbine generator's de-loading control
21(20)
Zhen Wang
Zhengqing Yang
Kit Po Wong
S.S. Choi
2.1 Introduction
21(1)
2.2 WTG-integrated dispatch mode and DFIG de-loading operation
22(2)
2.3 A bi-level optimization model for the two-stage reserve scheduling problem
24(5)
2.4 Case studies
29(7)
2.5 Conclusion
36(1)
Appendix. The single-level model formulation
36(3)
Acknowledgment
39(1)
References
39(2)
3 Dynamic energy management and control of a grid-interactive DC microgrid system
41(28)
Bonu Ramesh Naidu
Gayadhar Panda
B. Chitti Babu
3.1 Introduction
41(1)
3.2 System description
41(6)
3.3 Dynamic energy management and control
47(10)
3.4 Results and discussion
57(9)
3.5 Conclusion
66(1)
References
66(1)
Further reading
67(2)
4 Modeling, control, and energy management for DC microgrid
69(22)
Ying Han
Weirong Chen
Qi Li
4.1 Introduction
69(2)
4.2 DC MG structure and modeling
71(4)
4.3 DC MG experimental set-up
75(5)
4.4 Optimal control and energy management for DC MG
80(4)
4.5 Results and discussions
84(4)
4.6 Conclusions
88(1)
Acknowledgments
88(1)
References
89(2)
5 Hybrid AC/DC distribution network voltage control
91(28)
Feng Qiao
Jin Ma
Xiaoqing Han
5.1 Introduction
91(8)
5.2 VSC-based hybrid AC/DC MG (lower layer)
99(4)
5.3 Proposed voltage control scheme (upper layer)
103(4)
5.4 Case study
107(10)
5.5 Conclusions
117(1)
Acknowledgment
117(1)
References
117(2)
6 Controlling the distributed energy resources under fading channel
119(8)
M.M. Rana
Wei Xiang
Eric Wang
6.1 Introduction
119(1)
6.2 Microgrid state-space model
120(1)
6.3 LQG controller under fading channel
120(1)
6.4 Simulation results and discussions
121(4)
6.5 Conclusions and future work
125(1)
References
126(1)
Further reading
126(1)
7 Cooperative energy dispatch for multiple autonomous microgrids with distributed renewable sources and storages
127(34)
Xinli Fang
Qiang Yang
7.1 Introduction
127(3)
7.2 Autonomous microgrid optimization model
130(2)
7.3 Cooperative operation control strategy (w/o storages)
132(3)
7.4 Numerical experiments and result
135(9)
7.5 Remarks
144(2)
7.6 Cooperative scheduling strategies (with storages)
146(3)
7.7 Case study with the IEEE 33-bus network scenario
149(1)
7.8 Simulation experiment and numerical result
150(7)
7.9 Remarks
157(1)
7.10 Conclusions
158(1)
References
158(3)
Part Two ICT Technologies for Smart Power Distribution Networks
161(136)
8 Privacy of energy consumption data of a household in a smart grid
163(16)
Sandhya Armoogum
Vandana Bassoo
8.1 Introduction
163(1)
8.2 Smart grid and its many benefits
163(2)
8.3 Security vulnerabilities of smart grid and its impact
165(2)
8.4 Security objectives of smart grid
167(2)
8.5 Privacy preserving techniques in smart grids
169(4)
8.6 Conclusions
173(1)
References
174(3)
Further reading
177(2)
9 Microgrid communication system and its application in hierarchical control
179(26)
Hanging Yang
Qi Li
Weirong Chen
9.1 Introduction
179(5)
9.2 Communication construction based on hierarchical control
184(4)
9.3 Consensus algorithm based on microgrid communication system
188(3)
9.4 Case studies
191(11)
9.5 Conclusions
202(1)
Acknowledgments
202(1)
References
203(2)
10 ICT technologies standards and protocols for active distribution network
205(26)
Ting Yang
10.1 Introduction to the concept of information and communication technology (ICT)
205(1)
10.2 Introduction to active distribution network
206(3)
10.3 ICT technologies in the active distribution networks
209(20)
10.4 Conclusion
229(1)
References
230(1)
Further reading
230(1)
11 Virtual power plant communication system architecture
231(20)
Matej Zajc
Mitja Kolenc
Nermin Suljanovic
11.1 Introduction
231(2)
11.2 VPPs in the smart grid concept
233(3)
11.3 Communication system architecture
236(6)
11.4 Communication protocols
242(3)
11.5 Communication system performance analysis
245(2)
11.6 Conclusions
247(1)
References
248(3)
12 Inertia emulation from HVDC links for LFC in the presence of smart V2G networks
251(16)
Sanjoy Debbarma
Rituraj Shrivastwa
12.1 Introduction
251(2)
12.2 Inertia emulation from SPC-based HVDC systems for LFC
253(3)
12.3 Introduction to V2G network
256(4)
12.4 Simulation studies
260(4)
12.5 Conclusions
264(1)
References
264(1)
Further reading
265(2)
13 Internet of things application in smart grid: A brief overview of challenges, opportunities, and future trends
267(18)
Qiang Yang
13.1 Introduction
267(1)
13.2 Demand response opportunities in smart distribution systems
268(4)
13.3 IOT cyber physical security in smart grid
272(2)
13.4 Modeling and simulation challenges of IoT in smart grid
274(4)
13.5 Conclusions
278(2)
References
280(2)
Glossary
282(3)
14 H-infinity-based microgrid state estimations using the IoT sensors
285(12)
MM. Rana
Wei Xiang
Eric Wang
14.1 Introduction
285(1)
14.2 Observation model
286(1)
14.3 H-Infinity for microgrid state estimation
287(1)
14.4 Microgrid modeling and simulation results
287(3)
14.5 Conclusion and future work
290(3)
References
293(4)
Part Three Optimization Models/Methods in Smart Distribution Networks (Optimization Aspects)
297(290)
15 Management of renewable energy source and battery bank for power losses optimization
299(22)
Rajeev Kumar Chauhan
Kalpana Chauhan
15.1 Introduction
299(1)
15.2 Energy management system for DC microgrid
300(8)
15.3 Results and discussions
308(10)
15.4 Conclusion
318(1)
References
318(3)
16 Scenario-based methods for robust electricity network planning considering uncertainties
321(42)
Jinghua Li
Yujin Huang
Bo Lu
Shanyang Wei
Zhibang Wang
16.1 Introduction
321(1)
16.2 The mathematical model of network planning problem
322(5)
16.3 Scenario generation methods
327(13)
16.4 The solving process of the robust network planning
340(1)
16.5 Case studies
341(6)
16.6 Conclusion
347(1)
Appendix
347(12)
References
359(4)
17 Scenarios/probabilistic optimization approaches for network operation considering uncertainties
363(48)
Jinghua Li
Bo Chen
Yuhong Mo
Jiasheng Zhou
17.1 Introduction scenario
363(6)
17.2 Basic problems of power system optimization with large-scale wind power integration
369(2)
17.3 Research status of power system optimization with large-scale wind power integration
371(5)
17.4 p-Efficient point theory
376(10)
17.5 Moment matching theory
386(19)
17.6 Conclusion
405(1)
References
406(2)
Further reading
408(3)
18 The optimal planning of wind power capacity and energy storage capacity based on the bilinear interpolation theory
411(36)
Jinghua Li
Bo Chen
Jiasheng Zhou
Yuhong Mo
18.1 Introduction
411(1)
18.2 Research status of wind power accommodation
412(10)
18.3 Adequacy indices with wind power integration
422(6)
18.4 Estimation of wind power accommodation
428(6)
18.5 The optimal allocation of the wind power capacity and ESS capacity based on bilinear interpolation
434(2)
18.6 Case study
436(4)
18.7 Conclusions
440(1)
References
440(4)
Further reading
444(3)
19 Optimal energy dispatch in residential community with renewable DGs and storage in the presence of real-time pricing
447(20)
Qiang Yang
Ali Ehsan
Le Jiang
Xinli Fang
19.1 Introduction
448(2)
19.2 System model and problem formulation
450(4)
19.3 Optimal energy dispatch approach
454(4)
19.4 Simulation experiment and numerical result
458(6)
19.5 Conclusions and future work
464(1)
Acknowledgment
464(1)
References
465(2)
20 Evaluation on the short-term power supply capacity of an active distribution system based on multiple scenarios considering uncertainties
467(36)
Yajing Gao
Xiaojie Zhou
Qitian Mu
Jing Zhu
20.1 Introduction
467(3)
20.2 Analysis of uncertainty factors in evaluating PSC
470(16)
20.3 Definition of PSC evaluation index
486(2)
20.4 Short-term PSC evaluation algorithm based on multiscene technology
488(5)
20.5 Case study
493(6)
20.6 Conclusions
499(1)
References
499(3)
Further reading
502(1)
21 Multi-time-scale energy management of distributed energy resources in active distribution grids
503(26)
Bishnu P. Bhattarai
Kurt S. Myers
Robert J. Turk
Birgitte Bak-Jensen
21.1 Introduction
503(2)
21.2 System modeling
505(4)
21.3 Hierarchical multi-time-scale energy management system
509(9)
21.4 Simulation configuration and implementations
518(2)
21.5 Results and discussion
520(6)
21.6 Conclusion
526(1)
References
526(2)
Further reading
528(1)
22 Distribution network planning considering the impact of electric vehicle charging station load
529(26)
Sanchari Deb
Karuna Kalita
Pinakeswar Mahanta
22.1 Introduction
529(2)
22.2 Different operating parameters of distribution network
531(3)
22.3 Impact of EV charging load on different operating parameters of distribution network
534(6)
22.4 Optimal placement of charging stations in distribution network
540(2)
22.5 Case study
542(9)
22.6 Conclusions
551(1)
References
551(4)
23 Distribution systems hosting capacity assessment: Relaxation and linearization
555(32)
Mohammad Seydali Seyf Abad
Jin Ma
Xiaoqing Han
23.1 Introduction
555(4)
23.2 HC mathematical modeling
559(8)
23.3 Linear model of HC
567(11)
23.4 Simulations
578(6)
23.5 Conclusions
584(1)
Acknowledgment
585(1)
References
585(2)
Index 587
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). 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. Dr. Wei 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.