Chapter of Book
Forecasting Recharging Demand to Integrate Electric Vehicle Fleets in Smart Grids
Author/s | Guerrero Alonso, Juan Ignacio
Personal Vázquez, Enrique Parejo Matos, Antonio García Caro, Sebastián García Delgado, Antonio León de Mora, Carlos |
Editor | León de Mora, Carlos |
Department | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Publication Date | 2019 |
Deposit Date | 2020-04-25 |
Published in |
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ISBN/ISSN | 978-1-78984-106-0 978-1-78984-105-3 978-1-78923-818-1 |
Abstract | Electric vehicle fleets and smart grids are two growing technologies. These technologies
provided new possibilities to reduce pollution and increase energy efficiency.
In this sense, electric vehicles are used as mobile ... Electric vehicle fleets and smart grids are two growing technologies. These technologies provided new possibilities to reduce pollution and increase energy efficiency. In this sense, electric vehicles are used as mobile loads in the power grid. A distributed charging prioritization methodology is proposed in this paper. The solution is based on the concept of virtual power plants and the usage of evolutionary computation algorithms. Additionally, the comparison of several evolutionary algorithms, genetic algorithm, genetic algorithm with evolution control, particle swarm optimization, and hybrid solution are shown in order to evaluate the proposed architecture. The proposed solution is presented to prevent the overload of the power grid. |
Citation | Guerrero Alonso, J.I., Personal Vázquez, E.,...,León de Mora, C. (2019). Forecasting Recharging Demand to Integrate Electric Vehicle Fleets in Smart Grids. En C. León de Mora (Ed.), Advanced Communication and Control Methods for Future Smartgrids (pp. 254-). IntechOpen |
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