Abstract
With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs' parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781665480321 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022 - Novi Sad, Serbia Duration: 10 Oct 2022 → 12 Oct 2022 |
Publication series
| Name | IEEE PES Innovative Smart Grid Technologies Conference Europe |
|---|---|
| Volume | 2022-October |
Conference
| Conference | 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022 |
|---|---|
| Country/Territory | Serbia |
| City | Novi Sad |
| Period | 10/10/22 → 12/10/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Electric Vehicles
- Monte Carlo simulation
- optimization energy Exchange
- time-of-use tariffs
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