Abstract
Greenhouse gas emission, fast depletion of fossil fuels, the oil crisis and the increased cost of petroleum products are the major factors that need a shift from internal combustion engines to Electric Vehicles. The commercial deployment of EVs requires a large charging infrastructure to charge and discharge the EVs. Vehicle to Grid is a new emerging technology which came into existence because a large number of EVs can be used as load as well as an energy storage system to support the grid. However, the uncoordinated EV charging shows the crucial impact on the power system. Thus, optimum coordination of the V2G system needed. Thus, this paper presents a comprehensive state of art research of V2G system. The presented paper describes the methodology adopted for power flow under V2G scheme. Further, it explains the key barriers for adoption of V2G at a commercial level. Moreover, the state of art comparison is given for V2G, vehicle to home (V2H) and vehicle to vehicle (V2V). Later, the various optimization techniques have explained how they support the optimal energy management system under a coordinated V2G system.
| Original language | English |
|---|---|
| Article number | 012103 |
| Journal | IOP Conference Series: Materials Science and Engineering |
| Volume | 561 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 12 Nov 2019 |
| Externally published | Yes |
| Event | 1st International Conference on Materials Science and Manufacturing Technology 2019, ICMSMT 2019 - Coimbatore, Tamil Nadu, India Duration: 12 Apr 2019 → 13 Apr 2019 |
Keywords
- Bidirectional
- Electric Vehicle
- Genetic Algorithm
- Unidirectional
- Vehicle to Grid