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05521cam a2200649Mu 4500
000001334998
20210114163708
m d
cr cnu---unuuu
201121s2020 xx o ||| 0 eng d
▼a 178561763X
▼a 9781785617638
▼q (electronic bk.)
▼a 2569706
▼b (N$T)
▼a (OCoLC)1223097684
▼a EBLCP
▼b eng
▼c EBLCP
▼d N$T
▼d 248023
▼a TL220
▼a 629.2293
▼2 23
▼a Kishor, Nand.
▼a ICT for Electric Vehicle Integration with the Smart Grid
▼h [electronic resource].
▼a Stevenage:
▼b Institution of Engineering & Technology,
▼c 2020.
▼a 1 online resource (485 p.).
▼a Transportation Ser.
▼a Description based upon print version of record.
▼a 5.4 Power-demand management for multiple customers.
▼a Intro -- Title -- Copyright -- Contents -- Preface -- 1 Advanced mobility communication -- 1.1 Introduction -- 1.2 Background -- 1.2.1 Cooperative ITS regulatory framework -- 1.2.2 State on cooperative ITS standardisation -- 1.2.3 Cooperative ITS developments and initiatives -- 1.2.4 3GPP initiatives -- 1.2.5 LTE-V and CV2X -- 1.3 Target services -- 1.4 Cooperative ITS current state -- 1.4.1 Standardisation in vehicular communications -- 1.4.2 List of related standards for cooperative ITS -- 1.5 5G and future mobility -- 1.6 Conclusions -- References
▼a 2 Grid integration and management of EVs through machine-to-machine communication -- List of abbreviations -- 2.1 Introduction -- 2.2 M2M in distributed energy management systems -- 2.3 M2M communication for EVs -- 2.3.1 M2M communication architecture (3GPP) -- 2.4 Electric vehicle data logging systems -- 2.4.1 Data logging system -- 2.4.2 Hardware description -- 2.4.3 DLS operation -- 2.5 Scalability of electric vehicles -- 2.5.1 Radio resource and IP connection of LTE -- 2.5.2 Radio access of M2M -- 2.5.3 LTE user-plane protocol -- 2.5.4 Analytical model
▼a 2.5.5 Simulation and performance evaluation -- 2.6 M2M communication with scheduling -- 2.6.1 LTE scheduling -- 2.6.2 LTE popular scheduling algorithms -- 2.6.3 Performance evaluation -- 2.7 Conclusion -- References -- 3 Electrical vehicles charging and discharging scheduling for the cloud-based energy management service -- List of abbreviation -- 3.1 Introduction -- 3.3.1 Framework and utilized data -- 3.3.2 Procedure -- 3.2 Cloud computing -- 3.3 Cloud-based energy management service -- 3.4 Electrical vehicles for the cloud-based energy management service -- 3.5 Scheduling results discussion
▼a 3.6 Conclusion -- References -- 4 Multi-criteria optimization of electric vehicle fleet charging and discharging schedule for secondary frequency control -- List of abbreviations -- Nomenclature -- 4.1 Introduction -- 4.1.1 Motivation -- 4.1.2 Literature review -- 4.1.3 Contribution -- 4.1.4 Chapter structure -- 4.2 Optimization problem -- 4.2.1 Frequency regulation -- 4.2.2 Business model -- 4.2.3 ICT architecture -- 4.2.4 Optimization objectives -- 4.3 Multi-objective optimization -- 4.3.1 Fuzzy multi-criteria decision-making -- 4.3.2 MAUT -- 4.4 Case studies -- 4.4.1 Belman-Zadeh approach
▼a 4.4.2 MAUT methodology -- 4.5 Conclusion -- Acknowledgments -- References -- 5 Power-demand management in a smart grid using electric vehicles -- List of abbreviations -- 5.1 Introduction -- 5.2 Power-demand management for single customer: Energy-resource-management technique -- 5.2.1 Load-management algorithm -- 5.2.2 EV charge management -- 5.2.3 Case studies -- 5.2.4 Comparison with an artificial neural network technique -- 5.3 Power-demand management for single customer: Load-management technique -- 5.3.1 HEMS model -- 5.3.2 Scheduling model -- 5.3.3 Case study
▼a This book provides a basis for full integration of electric vehicles into the smart grid, through the use of ICT tools. It looks at transport and energy system modelling, simulation and optimisation processes; vehicle on-line optimal control, estimation and prediction; energy system strategic planning; and services such as smart charging.
▼a Added to collection customer.56279.3
▼a Electric vehicles
▼x Power supply.
▼a Smart power grids.
▼a Electric power systems
▼x Automatic control.
▼a Distributed generation of electric power.
▼a Vehicular ad hoc networks (Computer networks)
▼a Electric networks
▼x Computer programs.
▼a Electric power distribution
▼x High tension
▼x Computer programs.
▼a Electric power transmission.
▼a Electric utilities.
▼a Energy conservation.
▼a Energy storage.
▼a Markets.
▼a Renewable energy sources.
▼a Solar power plants.
▼a Telecommunication
▼x Data processing.
▼a Wind power plants.
▼a Electronic books.
▼a Fraile-Ardanuy, Jesús.
▼i Print version:
▼a Kishor, Nand
▼t ICT for Electric Vehicle Integration with the Smart Grid.
▼d Stevenage : Institution of Engineering & Technology,c2020,
▼z 9781785617621
▼a Transportation Ser.
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2569706
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6313538
▼a EBSCOhost
▼b EBSC
▼n 2569706
▼a 강리원
▼a eBook
▼a 92
▼b N$T
| 자료유형 : | eBook |
|---|---|
| ISBN : | 178561763X |
| ISBN : | 9781785617638 |
| 개인저자 : | Kishor, Nand. |
| 서명/저자사항 : | ICT for Electric Vehicle Integration with the Smart Grid [electronic resource]. |
| 발행사항 : | Stevenage: Institution of Engineering & Technology, 2020. |
| 형태사항 : | 1 online resource (485 p.). |
| 총서사항 : | Transportation Ser. |
| 일반주기 : | Description based upon print version of record. |
| 일반주기 : | 5.4 Power-demand management for multiple customers. |
| 내용주기 : | Intro -- Title -- Copyright -- Contents -- Preface -- 1 Advanced mobility communication -- 1.1 Introduction -- 1.2 Background -- 1.2.1 Cooperative ITS regulatory framework -- 1.2.2 State on cooperative ITS standardisation -- 1.2.3 Cooperative ITS developments and initiatives -- 1.2.4 3GPP initiatives -- 1.2.5 LTE-V and CV2X -- 1.3 Target services -- 1.4 Cooperative ITS current state -- 1.4.1 Standardisation in vehicular communications -- 1.4.2 List of related standards for cooperative ITS -- 1.5 5G and future mobility -- 1.6 Conclusions -- References |
| 내용주기 : | 2 Grid integration and management of EVs through machine-to-machine communication -- List of abbreviations -- 2.1 Introduction -- 2.2 M2M in distributed energy management systems -- 2.3 M2M communication for EVs -- 2.3.1 M2M communication architecture (3GPP) -- 2.4 Electric vehicle data logging systems -- 2.4.1 Data logging system -- 2.4.2 Hardware description -- 2.4.3 DLS operation -- 2.5 Scalability of electric vehicles -- 2.5.1 Radio resource and IP connection of LTE -- 2.5.2 Radio access of M2M -- 2.5.3 LTE user-plane protocol -- 2.5.4 Analytical model |
| 내용주기 : | 2.5.5 Simulation and performance evaluation -- 2.6 M2M communication with scheduling -- 2.6.1 LTE scheduling -- 2.6.2 LTE popular scheduling algorithms -- 2.6.3 Performance evaluation -- 2.7 Conclusion -- References -- 3 Electrical vehicles charging and discharging scheduling for the cloud-based energy management service -- List of abbreviation -- 3.1 Introduction -- 3.3.1 Framework and utilized data -- 3.3.2 Procedure -- 3.2 Cloud computing -- 3.3 Cloud-based energy management service -- 3.4 Electrical vehicles for the cloud-based energy management service -- 3.5 Scheduling results discussion |
| 내용주기 : | 3.6 Conclusion -- References -- 4 Multi-criteria optimization of electric vehicle fleet charging and discharging schedule for secondary frequency control -- List of abbreviations -- Nomenclature -- 4.1 Introduction -- 4.1.1 Motivation -- 4.1.2 Literature review -- 4.1.3 Contribution -- 4.1.4 Chapter structure -- 4.2 Optimization problem -- 4.2.1 Frequency regulation -- 4.2.2 Business model -- 4.2.3 ICT architecture -- 4.2.4 Optimization objectives -- 4.3 Multi-objective optimization -- 4.3.1 Fuzzy multi-criteria decision-making -- 4.3.2 MAUT -- 4.4 Case studies -- 4.4.1 Belman-Zadeh approach |
| 내용주기 : | 4.4.2 MAUT methodology -- 4.5 Conclusion -- Acknowledgments -- References -- 5 Power-demand management in a smart grid using electric vehicles -- List of abbreviations -- 5.1 Introduction -- 5.2 Power-demand management for single customer: Energy-resource-management technique -- 5.2.1 Load-management algorithm -- 5.2.2 EV charge management -- 5.2.3 Case studies -- 5.2.4 Comparison with an artificial neural network technique -- 5.3 Power-demand management for single customer: Load-management technique -- 5.3.1 HEMS model -- 5.3.2 Scheduling model -- 5.3.3 Case study |
| 요약 : | This book provides a basis for full integration of electric vehicles into the smart grid, through the use of ICT tools. It looks at transport and energy system modelling, simulation and optimisation processes; vehicle on-line optimal control, estimation and prediction; energy system strategic planning; and services such as smart charging. |
| 일반주제명 : | Electric vehicles -- Power supply. -- |
| 일반주제명 : | Smart power grids. -- |
| 일반주제명 : | Electric power systems -- Automatic control. -- |
| 일반주제명 : | Distributed generation of electric power. -- |
| 일반주제명 : | Vehicular ad hoc networks (Computer networks) -- |
| 일반주제명 : | Electric networks -- Computer programs. -- |
| 일반주제명 : | Electric power distribution -- High tension -- Computer programs. -- |
| 일반주제명 : | Electric power transmission. -- |
| 일반주제명 : | Electric utilities. -- |
| 일반주제명 : | Energy conservation. -- |
| 일반주제명 : | Energy storage. -- |
| 일반주제명 : | Markets. -- |
| 일반주제명 : | Renewable energy sources. -- |
| 일반주제명 : | Solar power plants. -- |
| 일반주제명 : | Telecommunication -- Data processing. -- |
| 일반주제명 : | Wind power plants. -- |
| 개인저자 : | Fraile-Ardanuy, Jesús. |
| 기타형태 저록 : | Print version: Kishor, Nand ICT for Electric Vehicle Integration with the Smart Grid. Stevenage : Institution of Engineering & Technology,c2020, 9781785617621 |
| 언어 | 영어 |
| URL : |
|---|
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