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 FEV's 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. © 2013 IEEE.

Optimal fully electric vehicle load balancing with an ADMM algorithm in smartgrids / Mercurio, Andrea; DI GIORGIO, Alessandro; Fabio, Purificato. - ELETTRONICO. - (2013), pp. 119-124. (Intervento presentato al convegno 2013 21st Mediterranean Conference on Control and Automation, MED 2013 tenutosi a Platanias-Chania, Crete nel 25 June 2013 through 28 June 2013) [10.1109/med.2013.6608708].

Optimal fully electric vehicle load balancing with an ADMM algorithm in smartgrids

MERCURIO, ANDREA;DI GIORGIO, ALESSANDRO;
2013

Abstract

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 FEV's 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. © 2013 IEEE.
2013
2013 21st Mediterranean Conference on Control and Automation, MED 2013
distributed systems; full-electric vehicles; full-electric vehicles(fev); load balancing; power systems; primal dual methods; renewable energy and sustainability; vehicle to grid; vehicle to grid (v2g)
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Optimal fully electric vehicle load balancing with an ADMM algorithm in smartgrids / Mercurio, Andrea; DI GIORGIO, Alessandro; Fabio, Purificato. - ELETTRONICO. - (2013), pp. 119-124. (Intervento presentato al convegno 2013 21st Mediterranean Conference on Control and Automation, MED 2013 tenutosi a Platanias-Chania, Crete nel 25 June 2013 through 28 June 2013) [10.1109/med.2013.6608708].
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