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| Content Provider | IET Digital Library |
|---|---|
| Author | Tang, Yuchen Zhong, Jin Bollen, Math |
| Abstract | Effective charging and vehicle-to-grid (V2G) control strategies can utilise the properties of electric vehicles (EVs) to obtain various benefits. EVs are modelled as individuals in existing charging control algorithms. In this study, a new modelling method of EVs and an optimal charging control strategy are proposed so that all EVs in a control area can be regarded as a single object in the optimisation process. The strategy minimises the total charging cost of EVs, and can be further expanded to serve V2G control. With the new modelling method, the computational burden of the optimisation algorithm can be reduced significantly and does not increase with the number of EVs. Thus the strategy is extremely effective when the number of EVs becomes large, and the implementation cost could be more reasonable since less computational capacity is required. Case studies are presented to illustrate the performance of the strategy. |
| Starting Page | 2012 |
| Ending Page | 2018 |
| Page Count | 7 |
| ISSN | 17518687 |
| Volume Number | 10 |
| e-ISSN | 17518695 |
| Issue Number | Issue 8, May (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/10/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0133 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2016-05-19 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Aggregated Optimal Charging Battery Powered Vehicle Computational Capacity Control of Electric Power System EV Modelling Method EV Total Charging Cost Large-electric Vehicle Population Optimal Charging Control Strategy Optimisation Optimisation Process Optimisation Technique Power Grid Power System Control Transportation V2G Control Strategy Vehicle-to-grid Control Vehicle-to-grid Control Strategy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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