Abstract
Electric vehicle fleets and smart grids are two growing technologies. These technologies have 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, a comparison of several evolutionary algorithms—namely genetic algorithm, genetic algorithm with evolution control, particle swarm optimization, and hybrid solution—is shown, in order to evaluate the proposed architecture. The proposed solution is presented as a means to prevent overload of the power grid.
Highlights
The electric vehicle (EV) represents a new research field in smart grid (SG) ecosystems
There are several research lines related to EVs: fast charging networks, battery performance modeling, parasitic energy consumption, EV promotional policies, increasing the range of the battery in EV, etc.; and other research lines related to EV energy management: contract models for consumption vehicle, market model to adopt EVs, distributed energy resources management systems (DERMS), distributed energy resources (DER) standards, faster charging technologies, demand response management systems (DRMS), the role of aggregators in V2G, energy efficiency, customer support, driver support, etc
This paper proposed a solution for fleet charging prioritization based on the concept of a virtual power plant (VPP) and using distributed evolutionary computation algorithms to optimize the prioritization of EV fleets at different levels of SG ecosystems
Summary
The electric vehicle (EV) represents a new research field in smart grid (SG) ecosystems. There are several research lines related to EVs: fast charging networks, battery performance modeling, parasitic energy consumption, EV promotional policies, increasing the range of the battery in EV, etc.; and other research lines related to EV energy management: contract models for consumption vehicle, market model to adopt EVs, distributed energy resources management systems (DERMS), distributed energy resources (DER) standards, faster charging technologies, demand response management systems (DRMS), the role of aggregators in V2G (vehicle-to-grid), energy efficiency, customer support, driver support, etc All these lines are influenced by the current regulation and may different greatly between countries
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