Due to the ever-increasing presence of renewable sources, the need of energy storage systems is growing. However, the costs of dedicated energy storage systems are not profitable yet and so different solutions are understudy. The Vehicle to Grid function (V2G) in particular has received wide attention. In this paper will be shown how the V2G can be managed in order to make a small photovoltaic park fully dispatchable. The challenge in defining the model has been to set specific rules and constraints aimed to protect the means of transport functionalities of the vehicles. The results are achieved through a simulation run by a python code able to simulate both the charging/discharging process of vehicles and the vehicles flux during the 24 hours. Two kinds of results will be analyzed. In the first case, the software will provide a single simulation result, showing how a finite number of vehicle can match a single case of energy request from the photovoltaic plant. The second case instead will iterate the simulation in order to find the minimum number of simultaneously connected vehicles able to fulfil the energy request from the plant for every hour of the day, using different load profiles and energy production scenarios.
Charging Strategies for Electric Vehicles with Vehicle to Grid Implementation for Photovoltaic Dispatchability
Brenna, Morris;Foiadelli, Federica;SOCCINI, ANDREA;
2018-01-01
Abstract
Due to the ever-increasing presence of renewable sources, the need of energy storage systems is growing. However, the costs of dedicated energy storage systems are not profitable yet and so different solutions are understudy. The Vehicle to Grid function (V2G) in particular has received wide attention. In this paper will be shown how the V2G can be managed in order to make a small photovoltaic park fully dispatchable. The challenge in defining the model has been to set specific rules and constraints aimed to protect the means of transport functionalities of the vehicles. The results are achieved through a simulation run by a python code able to simulate both the charging/discharging process of vehicles and the vehicles flux during the 24 hours. Two kinds of results will be analyzed. In the first case, the software will provide a single simulation result, showing how a finite number of vehicle can match a single case of energy request from the photovoltaic plant. The second case instead will iterate the simulation in order to find the minimum number of simultaneously connected vehicles able to fulfil the energy request from the plant for every hour of the day, using different load profiles and energy production scenarios.File | Dimensione | Formato | |
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