The burden of electric mobility will be mainly on the distribution system that, particularly during the peak hours, will be exposed to critical operation conditions by a high number of high density simultaneous loads. By adding control capabilities to charge and discharge of cars’ batteries, Vehicle-to-Grid technology can exalt the benefits from their whole energy storage capacity and Distributors can then be helped in the active management of the network by the services offered. For a full exploitation of Vehicle-toGrid potentialities, the role of the aggregator is essential to create value to customers by offering services to the distribution system operator. In the paper, a Particle Swarm Optimization is used to define the aggregator’s optimal control strategy to optimize the recharging patterns of a fleet of EVs taking into account financial contracts, driver’s behavior, energy prices, etc.

Electric Vehicles Aggregator Management in Active Distribution Networks

PILO, FABRIZIO GIULIO LUCA;GHIANI, EMILIO;CELLI, GIANNI;PISANO, GIUDITTA;RUGGERI, SIMONA;SOMA, GIAN GIUSEPPE
2012-01-01

Abstract

The burden of electric mobility will be mainly on the distribution system that, particularly during the peak hours, will be exposed to critical operation conditions by a high number of high density simultaneous loads. By adding control capabilities to charge and discharge of cars’ batteries, Vehicle-to-Grid technology can exalt the benefits from their whole energy storage capacity and Distributors can then be helped in the active management of the network by the services offered. For a full exploitation of Vehicle-toGrid potentialities, the role of the aggregator is essential to create value to customers by offering services to the distribution system operator. In the paper, a Particle Swarm Optimization is used to define the aggregator’s optimal control strategy to optimize the recharging patterns of a fleet of EVs taking into account financial contracts, driver’s behavior, energy prices, etc.
2012
978-88-87237-15-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/105802
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