Abstract
Demand Response (DR), directed at the electric grid load caused by the incorporation of Electric Vehicles (EVs), is important to a large extend due to the high impact caused by vehicles to the electric systems. The present work results in the allocation of energy resources for recharging EVs in service station and their impact, as well as the different electric charge. It is a Heuristic model based on the demand response to demand in the middle of the Hungarian algorithm, that is, it has the appropriate allocation of energy resources for the charging of EVs. Taking into account several load stages that focus on the DR for wich they are modeled and determined the types of load that were used wich: a) slow, b) fast, c) ultra-fast, d) ultra-fast, in wich, the different behaviors will be evaluated that results when inserting EVs, will be evaluated. It also explains the differents varieties and the different varieties of EVs that are used for the purpose of achieving an efficient use of solar radiation for winter and summer.
| Translated title of the contribution | Assignment of Resources for the Recharging of Electric Vehicles in Service Stations Based on the Response to the Demand. |
|---|---|
| Original language | Spanish (Ecuador) |
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Revista De I+D Tecnológico |
| Volume | 14 |
| Issue number | 14 |
| DOIs | |
| State | Published - 14 Dec 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Charging stations
- Demand response
- Electric vehicle batteries
- Electric vehicles
- Optimization
- Renewable energies
CACES Knowledge Areas
- 317A Electricity and Energy
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