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From Smart Grid to Internet of Energy [Mīkstie vāki]

(Professor, Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Nevsehir Hac Bektas Veli University, Nevsehir, Turkey), (Associate Professor, Electrical and Electronics Engineering, Faculty of Engineering, N)
  • Formāts: Paperback / softback, 376 pages, height x width: 229x152 mm, weight: 610 g, Approx. 100 illustrations; Illustrations, unspecified
  • Izdošanas datums: 30-Jul-2019
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0128197102
  • ISBN-13: 9780128197103
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  • Cena: 130,13 €
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From Smart Grid to Internet of EnergyPalielināt
  • Formāts: Paperback / softback, 376 pages, height x width: 229x152 mm, weight: 610 g, Approx. 100 illustrations; Illustrations, unspecified
  • Izdošanas datums: 30-Jul-2019
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0128197102
  • ISBN-13: 9780128197103
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780128197103.html
Keywords:

The recent emerging communication technologies, which can be regarded as promising technologies to improve smart grid systems and their components are an important factor in monitoring energy use. The purpose of From Smart Grid to Internet of Energy is to cover novel and emerging metering and monitoring technologies, communication systems and technologies in the smart grid areas in order to present a more valuable reference for readers from various engineering backgrounds.

Considering relevant topics on the essentials of smart grids to emerging wireless communication systems such as IEEE 802.15.4 based novel technologies, cognitive radio networks and Internet of Energy, this book offers a discussion on the emerging trends and research direction for communication technologies. Including research concepts and visualization of smart grids and related communication technologies, and enhancing the usability of the book for practicing network engineers with case studies.

  • Includes global case studies and examples of communications systems integrated with smart grid
  • Presents literature surveys for wide variety of smart grids, wired and wireless communication technologies, big data, privacy and security
  • Covers all aspects of IoE systems and discusses the differences between IoE and Smart Grids
1 Introduction to smart grid and internet of energy systems
1.1 Introduction
1(4)
1.2 Overview of smart grid evolution
5(30)
1.2.1 Architecture of smart grid
8(15)
1.2.2 Distributed generation and microgrid
23(6)
1.2.3 Transmission and distribution networks
29(4)
1.2.4 Energy storage systems
33(1)
1.2.5 Control, interoperability and flexibility
34(1)
1.3 Fundamental components of smart grids
35(20)
1.3.1 Smart sensors and sensor networks
39(6)
1.3.2 Phasor measurement units
45(4)
1.3.3 Smart meters
49(2)
1.3.4 Wireless sensor networks
51(4)
1.4 Evolution of internet of energy concept
55(4)
1.5 Energy internet as smart grid 2.0
59(1)
References
59(4)
2 Smart metering and smart monitoring systems
2.1 Introduction
63(2)
2.2 Smart metering concept and systems
65(7)
2.3 Smart meters
72(9)
2.3.1 Hardware and accurate metering
72(3)
2.3.2 Communication interface
75(1)
2.3.2.1 Home area network
75(1)
2.3.2.2 Neighborhood area network
76(3)
2.3.2.3 Wide area network
79(1)
2.3.3 Remote control features
79(1)
2.3.4 Demand side management
80(1)
2.3.5 Theft and fraud control
80(1)
2.4 Advanced metering infrastructure
81(7)
2.4.1 AMI protocols and standards
81(3)
2.4.2 AMI security
84(1)
2.4.2.1 AMI security related to components
85(2)
2.4.2.2 Security threats of AMI networks
87(1)
2.5 PMU applications in smart grids
88(4)
2.6 Smart monitoring systems
92(3)
References
95(2)
3 Smart grid network architectures
3.1 Introduction
97(3)
3.2 Premises network schemes
100(5)
3.2.1 Home area networks (HANs)
100(3)
3.2.2 Building area networks (BANs) and industrial area networks (IANs)
103(2)
3.3 Neighbor area networks (NANs)
105(5)
3.4 Field area networks (FANs)
110(1)
3.5 Wide area networks (WANs)
111(2)
3.6 QoS requirements for SG networks
113(3)
References
116(3)
4 Power line communication technologies in smart grids
4.1 Introduction
119(2)
4.2 Classification of PLC systems
121(5)
4.2.1 Ultra-narrow band PLC
122(2)
4.2.2 Narrowband PLC
124(2)
4.2.3 Broadband PLC
126(1)
4.3 Characteristics of power lines
126(11)
4.3.1 Electricity grids and regional differences
131(3)
4.3.2 Underground cables characteristics
134(1)
4.3.3 Overhead power-lines characteristics
134(3)
4.4 PLC regulations and standards
137(16)
4.4.1 ITU-T G.9902 G.hnem standard
140(2)
4.4.1.1 PHY layer
142(1)
4.4.1.2 MAC layer
143(1)
4.4.2 ITU G.9903 G3-PLC standard
143(1)
4.4.2.1 PHY layer
144(1)
4.4.2.2 MAC sublayer
145(2)
4.4.2.3 Adaptation layer
147(1)
4.4.3 ITU-T G.9904 PRIME standard
147(1)
4.4.3.1 PHY layer
148(2)
4.4.3.2 MAC layer
150(1)
4.4.3.3 Convergence layers
151(1)
4.4.4 The IEEE 1901.2 standard
151(1)
4.4.4.1 PHY layer
152(1)
4.4.4.2 MAC layer
153(1)
4.5 EMC regulations for PLC systems
153(2)
4.5.1 NB PLC regulations
154(1)
4.5.2 BB PLC regulations
155(1)
4.6 Case study PLC applications for smart grids
155(11)
References
166(7)
5 Emerging wireless communication technologies for smart grid applications
5.1 Introduction
173(2)
5.2 Short-range communication technologies
175(3)
5.2.1 IEEE 802.15.1 and Bluetooth
175(2)
5.2.2 Near-field communication
177(1)
5.3 Communication technologies for low-rate WPANS
178(12)
5.3.1 IEEE 802.15.4 standard
178(1)
5.3.1.1 PHY layer of IEEE 802.15.4 standard
179(3)
5.3.1.2 MAC layer of IEEE 802.15.4 standard
182(3)
5.3.2 IEEE 802.15.4g (smart utility network, SUN)
185(1)
5.3.3 IEEE 802.15.4k---(low energy critical infrastructure monitoring, LECIMJ
185(1)
5.3.4 ZigBee
186(1)
5.3.5 WirelessHART
187(1)
5.3.6 ISA100.11a
188(1)
5.3.7 6L0WPAN
188(2)
5.3.8 6TiSCH
190(1)
5.4 IEEE 802.11 based technologies for WLANS
190(7)
5.4.1 Network architectures of IEEE 802.11 standards
195(1)
5.4.2 Application perspective of WLAN systems
196(1)
5.5 Cellular communication technologies
197(5)
5.6 IEEE 802.16/WiMAX
202(3)
References
205(4)
6 Cognitive radio based smart grid communications
6.1 Introduction
209(2)
6.2 Cognitive radio technology
211(7)
6.2.1 Importance of CR for smart grid systems
216(2)
6.3 CR network architectures
218(4)
6.3.1 Infrastructure-based (centralized) architecture
220(1)
6.3.2 Ad hoc (distributed) architecture
220(1)
6.3.3 Mesh architecture
221(1)
6.4 Spectrum sensing (SS) techniques in CR networks
222(7)
6.4.1 Energy detection method
224(1)
6.4.2 Matched filter detection method
225(1)
6.4.3 Cyclostationary feature detection method
226(1)
6.4.4 Cooperative spectrum sensing based spectrum detection
227(2)
6.5 CR based communication systems in smart grids
229(8)
6.5.1 CR enabled home area networks
232(3)
6.5.2 CR enabled neighborhood area networks
235(1)
6.5.3 CR enabled wide area networks
235(2)
6.6 CR enabled smart grid applications
237(5)
6.6.1 Home energy management systems
238(1)
6.6.2 Real-time pricing and demand response management applications
238(2)
6.6.3 Distribution automation applications
240(1)
6.6.4 Distributed generation system applications
240(1)
6.6.5 Wide area monitoring applications
241(1)
6.6.6 Advanced metering infrastructure applications
241(1)
6.6.7 Wide-area situational awareness
242(1)
References
242(7)
7 Internet of things for smart grid applications
7.1 Introduction
249(6)
7.2 Driving factors of IoT for smart grid
255(15)
7.2.1 Smart grid applications in generation level
256(4)
7.2.2 Smart grid applications in transmission and distribution levels
260(3)
7.2.3 Smart grid applications in consumption levels
263(4)
7.2.4 Driving factors of IoT for smart grid
267(1)
7.2.4.1 Identification
268(1)
7.2.4.2 Data acquisition
268(1)
7.2.4.3 Communication
269(1)
7.2.4.4 Data processing and management
269(1)
7.2.4.5 Services
269(1)
7.2.4.6 Security
270(1)
7.3 Communication infrastructures of IoT
270(7)
7.3.1 Software-defined networks (SDNs)
273(1)
7.3.2 IEEE 802.x based communication technologies
273(4)
7.4 IoT protocols and services
277(9)
7.4.1 IoT protocols
279(2)
7.4.2 Services and security of IoT
281(5)
7.5 IoT applications in smart grid
286(9)
7.5.1 IoT smart city applications
290(2)
7.5.2 IoT applications in smart home environment
292(2)
7.5.3 IoT-based metering and monitoring applications
294(1)
7.6 Open issues and future research directions
295(8)
7.6.1 IoT architectures and improvements
298(2)
7.6.2 IoT-based smart building management
300(1)
7.6.3 Cyber security and privacy in IoT architecture
301(1)
7.6.4 Big data and cloud computing
301(1)
7.6.5 Computational methods for IoT-based smart grid
302(1)
7.6.6 Standardization and interoperability of IoT-based smart grid
302(1)
References
303(6)
8 Big data, privacy and security in smart grids
8.1 Introduction
309(3)
8.2 Overview of big data
312(7)
8.2.1 Big data generation
313(1)
8.2.2 Data acquisition and storage
314(1)
8.2.3 IoT and big data
315(4)
8.3 Big data analysis methods
319(7)
8.3.1 Data mining methods
320(4)
8.3.2 Machine learning in big data analytics
324(2)
8.4 Overview of smart grid privacy
326(6)
8.4.1 Threats and challenges in privacy
329(1)
8.4.2 Privacy preserving methods
330(1)
8.4.3 Privacy enhancing applications
331(1)
References
332(3)
9 Roadmap from smart grid to internet of energy concept
9.1 Introduction
335(2)
9.2 Vision and motivation of IoE
337(3)
9.3 Architecture of EI systems
340(6)
9.3.1 Energy routers
342(3)
9.3.2 Information sensing and processing
345(1)
9.3.3 Network topologies for EI
345(1)
9.4 Current challenges of EI systems
346(1)
References
347(4)
Index 351
Ersan Kabalci is Department Head of Electrical and Electronics Engineering at Nevsehir University, Turkey. He received his MSc and PhD in Electrical and Electronics Engineering from Gazi University, Turkey, where his research focused on implementing an enhanced modulation scheme for multilevel inverters. Dr. Kabalci also serves as an Associate Editor for several international indexed journals and as a reviewer for more than 25 international journals on power electronics and renewable energy sources. His current research interests include power electronic applications and drives for renewable energy sources, microgrids, distributed generation, power line communication, and smart grid applications. He has been a member of the IEEE since 2009. Associate Professor Yasin Kabalc, Ph.D., Electrical and Electronics Engineering, Faculty of Engineering, Nide Ömer Halisdemir University, Nigde-Turkey.

Research interests: Power line communications, Wireless Communications, 5G and beyond, Internet of Things (IoT), Smart grid, Internet of Energy, Remote monitoring of renewable energy sources.