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| Content Provider | IET Digital Library |
|---|---|
| Author | Singh, Jyotsna Tiwari, Rajive |
| Abstract | The ongoing and anticipated growth in the use of electric vehicles (EVs) in transportation brings new opportunities for the development of new smart grids. EVs can transfer power from vehicle-to-grid (V2G) to potentially contribute towards improving grid functionality and stability. Coordinated charging/discharging of EVs is a possible solution to the challenges imposed by random charging and potential ways to extract benefits from the V2G functionality of EVs in the grid. Furthermore, coordinated scheduling can be augmented with effective operative tools to improve the operation of system. Towards addressing this goal, this study proposes a two-stage optimisation to investigate the impact on the distribution system in terms of losses and voltage when distribution feeder reconfiguration (DFR) is employed with different scheduling strategies of EVs. In the first stage, the optimal charging/discharging schedule of EVs is developed on the basis of the technical and economic objective. A genetic algorithm-based approach is used to model EV demands. The DFR problem is solved in the second stage with a new, improved version of a grey wolf optimisation algorithm considering the optimal EV load demand obtained from the first stage. The efficacy of proposed methodology is demonstrated on 69-bus distribution system and 118-bus distribution system. |
| Starting Page | 4249 |
| Ending Page | 4261 |
| Page Count | 13 |
| ISSN | 17518687 |
| Volume Number | 13 |
| e-ISSN | 17518695 |
| Issue Number | Issue 18, Sep (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/13/18 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6330 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2019-08-01 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 118-bus Distribution System 69-bus Distribution System Anticipated Growth Battery Powered Vehicle Battery Storage Plants Distributed Power Generation Distribution Feeder Reconfiguration Distribution Network Electric Vehicle EV Demands EVs Load Genetic Algorithm Grid Functionality Increased Power Loss Ongoing Growth Optimal EV Load Demand Optimisation Optimisation Technique Other Power Stations And Plant Power Distribution Economics Power Grid Power Loss Minimisation Power System Economics Power System Managemen Power System Operation Random Charging Scheduling Smart Grid Smart Power Grid Stability Transportation Uncoordinated Charging Vehicle-to-grid |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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