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Influences of Electric Vehicles on Power System and Key Technologies of Vehicle-to-Grid 1st ed. 2016 [Hardback]

  • Formāts: Hardback, 105 pages, height x width: 235x155 mm, weight: 454 g, 18 Illustrations, color; 28 Illustrations, black and white; XV, 105 p. 46 illus., 18 illus. in color., 1 Hardback
  • Sērija : Power Systems
  • Izdošanas datums: 14-Mar-2016
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662493624
  • ISBN-13: 9783662493625
  • Hardback
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  • Formāts: Hardback, 105 pages, height x width: 235x155 mm, weight: 454 g, 18 Illustrations, color; 28 Illustrations, black and white; XV, 105 p. 46 illus., 18 illus. in color., 1 Hardback
  • Sērija : Power Systems
  • Izdošanas datums: 14-Mar-2016
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662493624
  • ISBN-13: 9783662493625
This book analyzes the influence of electric vehicles on microclimate and the indirect influence on power load from a unique perspective. It discusses different aspects of Vehicle-to-grid (V2G) technology, including large and small-scale charging infrastructures, and describes the effect on electricity price, voltage, frequency and other key V2G technologies. It introduces various aspects of the influence of electric vehicles on the power grids and the control strategies for achieving economic, safe and steady grid operation using V2G technologies. This book is suitable for senior undergraduates and postgraduates majoring in electrical, transportation, or environmental engineering, as well as other related professionals.

Influences of EVs on Power System by Improving the Microclimate.- The Response of EV Charging Loads to TOU Price.- The Response of EV Charging Loads to the Grid Voltage.- The Response of Large-Scale EV Charging Loads to Frequency.- The Asynchronous Response of Small-Scale Charging Facilities to Grid Frequency.- Analysis on Typical Schemes of the Integration of EV Charging Facilities into the Grid.- EV Charging Facility Planning.
1 Influences of EVs on Power System by Improving the Microclimate
1(24)
1.1 Introduction
1(2)
1.2 The Impact of Urban Microclimate on Electric ACEC
3(8)
1.2.1 Case and Data Selection
4(1)
1.2.2 Electrical ACEC Data
5(2)
1.2.3 Effect of UHIE on Perceived Temperature
7(1)
1.2.4 Effect of THE on Perceived Temperature
8(1)
1.2.5 Effect of CE on Perceived Temperature
9(2)
1.3 Interaction Between Urban Microclimate and Electric ACEC
11(2)
1.3.1 Comprehensive Effect of Urban Microclimate on Electric ACEC
11(1)
1.3.2 The Feedback of Electric ACEC on Urban Microclimate
12(1)
1.4 Discussion About Interaction Between Urban Microclimate and Electric ACEC
13(3)
1.5 The Influence of EVs on Urban Microclimate
16(1)
1.6 Case Study on Influences of EVs on Urban Microclimate
17(1)
1.7 Reduction of ACEC
18(1)
1.8 Conclusions
19(6)
References
20(5)
2 The Response of EV Charging Loads to TOU Price
25(12)
2.1 Introduction
25(1)
2.2 Optimized Charging Model in Response to TOU Price
26(2)
2.3 Algorithm
28(2)
2.4 Case Study
30(4)
2.4.1 Settings of Simulation
30(2)
2.4.2 The Results and Analysis of Simulation
32(2)
2.5 Conclusions
34(3)
References
35(2)
3 The Response of EV Charging Load to the Grid Voltage
37(12)
3.1 Introduction
37(2)
3.2 The Profile of the Proposed Strategy
39(4)
3.2.1 The Selection of Voltage Signal
39(1)
3.2.2 UVLS with the Participation of EV Charging Load
40(3)
3.3 Case Study
43(4)
3.3.1 Parameters and Model of Simulation
43(1)
3.3.2 Results of the Simulation
44(3)
3.4 Conclusions
47(2)
References
48(1)
4 The Response of Large-Scale EV Charging Loads to Frequency
49(24)
4.1 Introduction
49(1)
4.2 Characteristics of EV Charging Loads
49(1)
4.3 The Current Related Research of EVs on FR
50(2)
4.3.1 EVs' Advantages in FR
50(1)
4.3.2 The Current Related Research of FR Based on the Coordination Among EVs, AGC, BESSs
51(1)
4.4 Properties of FR Resources
52(3)
4.4.1 Traditional FR Resources
52(1)
4.4.2 Large-Scale Energy Storage Devices
52(1)
4.4.3 EV/BESS FR Resource
53(2)
4.5 Coordinated Control Strategy for EVs/BESSs
55(7)
4.5.1 Coordination Principle
55(2)
4.5.2 Implementation Method for Coordinated FR
57(5)
4.6 Case Study and Results
62(7)
4.6.1 Simulation Model and Parameters
62(3)
4.6.2 Simulations of Power System FR
65(4)
4.7 Conclusions
69(4)
References
69(4)
5 The Asynchronous Response of Small-Scale Charging Facilities to Grid Frequency
73(14)
5.1 Introduction
73(1)
5.2 Formulation of the Proposed Control Method
74(1)
5.3 The Demonstration of Coordination
75(2)
5.4 The Demonstration of Equality
77(1)
5.5 Case Study
78(5)
5.5.1 Simulation Model and Parameters
78(2)
5.5.2 Validation of Coordination
80(2)
5.5.3 Validation of Equality
82(1)
5.6 Conclusions
83(4)
References
84(3)
6 Analysis on Typical Schemes of the Integration of EV Charging Facilities into the Grid
87(10)
6.1 Introduction
87(1)
6.2 Main Considerations on the Integration of Charging Facilities into the Grid
88(1)
6.3 Estimate of the EVCS's Reverse Discharge Capacity
88(1)
6.4 Typical Schemes of the Integration of Charging Facilities into the Grid
89(5)
6.4.1 Schemes of the Integration of EVCPs into the Grid
89(1)
6.4.2 EVCSs Directly Integrated into or Adjacent to 110 kV Substations
90(1)
6.4.3 EVCSs Integrated into the Tie Point of Looped Distribution Grid
91(2)
6.4.4 Parallel Operation of EVCSs with the Special Important Load
93(1)
6.5 Conclusions
94(3)
References
94(3)
7 EV Charging Facility Planning
97
7.1 Introduction
97(1)
7.2 Stages of EV Charging Facility Planning
97(1)
7.3 Charging Modes Selection and Demand Forecasting
98(3)
7.3.1 Charging Modes Selection
98(2)
7.3.2 Charging Demand Forecasting
100(1)
7.4 Charging Facility Planning
101(2)
7.4.1 Planning Principles and Process
101(1)
7.4.2 Planning Model
102(1)
7.5 Case Study
103(2)
7.5.1 Analysis on Charging Mode Selection
103(1)
7.5.2 Analysis on Charging Facility Planning
104(1)
7.6 Conclusions
105
References
105
Prof. Canbing Li is engaged in energy saving and smart grid research, and was awarded 2012 New Century Excellent Talents in University of China, Granted by Ministry of Education, China. He has successfully secured national 863 project, national science and technology support sub-plan, the national natural science fund project. Professor Li is IEEE senior member and evaluation experts of national energy conservation center.

Prof. Yijia Cao is engaged in smart grid and energy strategy research and has successfully secured outstanding youth fund of national natural science fund project, key project of national natural science funds, national 973 program, national 863 program, national international technology cooperation plan. He is also the Yangtze river scholars distinguished professor and subject matter experts in "twelfth five-year" energy sector of ministry of science and technology. Now he is vice president of Hunan University. Ms. Kuang Yonghong is PhD student at College of Electrical and Information Engineering and Dr. Bin Zhou is Assistant Professor at College of Electrical and Information Engineering of Hunan University.