1 research outputs found
Optimal Fully Electric Vehicle load balancing with an ADMM algorithm in Smartgrids
In this paper we present a system architecture and a suitable control
methodology for the load balancing of Fully Electric Vehicles at Charging
Station (CS). Within the proposed architecture, control methodologies allow to
adapt Distributed Energy Resources (DER) generation profiles and active loads
to ensure economic benefits to each actor. The key aspect is the organization
in two levels of control: at local level a Load Area Controller (LAC) optimally
calculates the FEVs charging sessions, while at higher level a Macro Load Area
Aggregator (MLAA) provides DER with energy production profiles, and LACs with
energy withdrawal profiles. Proposed control methodologies involve the solution
of a Walrasian market equilibrium and the design of a distributed algorithm.Comment: This paper has been accepted for the 21st Mediterranean Conference on
Control and Automation, therefore it is subjected to IEEE Copyrights. See
IEEE copyright notice at http://www.ieee.org/documents/ieeecopyrightform.pd