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Content Provider | IET Digital Library |
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Author | Feng, Liang Wu, Kuihua Wu, Jian Xing Sun, Wei Yang, Bo Wang, Jian An, Peng |
Abstract | In order to make full use of the cooperation of the electric vehicle batteries and the wind power generation to realise the peak load shifting, this study mainly investigates the optimisation scheduling strategy of synergistic dispatch between electric vehicle batteries and wind power. Firstly, three synergistic dispatch model including electric vehicles, wind power, and power load demand, and three constraint conditions of the available time, the residual capacity of battery, and the charge–discharge power are proposed by considering the characteristics of transportation and power battery of electric vehicles. This optimisation model is then solved by the improved particle swarm optimisation algorithm. Finally, simulation experiments analyse the factors affecting the synergistic optimisation model of electric vehicles and wind power by considering three kinds of wind power output including normal and peak-regulation and different wind power penetration and the number of electric cars to participate in power grid interaction, and the effectiveness of the synergistic optimisation model to achieve the peak load shifting is confirmed. |
Starting Page | 1940 |
Ending Page | 1946 |
Page Count | 7 |
Volume Number | 2017 |
e-ISSN | 20513305 |
Issue Number | Issue 13, Jan (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2017/13 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2017.0668 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2017-01-01 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Automobile Battery Powered Vehicle Charge-discharge Power Constraint Condition Electric Cars Electric Vehicle Batteries Improved Particle Swarm Optimisation Algorithm Normal-regulation Optimal Scheduling Model Optimisation Scheduling Strategy Optimisation Technique Particle Swarm Optimisation Peak Load Shifting Peak-regulation Power Generation Dispatch Power Generation Scheduling Power Grid Power Grid Interaction Power Load Demand Residual Capacity Synergistic Dispatch Model Synergistic Optimisation Model Transportation Wind Power Generation Wind Power Penetration Wind Power Plant |
Content Type | Text |
Resource Type | Article |
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