Dynamic Programming for Optimal Integration of Plug-in Hybrid Electric Vehicles (PHEV s) in Residential Electric Grid Areas

Harun Turker (1) , Ahmad Hably (2) , Seddik Bacha (3)

1 G2ELab - Laboratoire de Génie Electrique de Grenoble
2 GIPSA-SYSCO - GIPSA - Systèmes non linéaires et complexité
3 G2Elab-SYREL - G2Elab-SYstèmes et Réseaux ELectriques

Plug-in Hybrid Electric Vehicles (PHEVs) will strongly penetrate in the car fleet. Based on databases of the houses Daily Loads Profiles (DLPs) and on a probabilistic algorithm of PHEVs connections in residential electric grid areas, this paper determines the minimal charging current or PHEVs charging power which assures that the batteries reached the desired State of Charge (SOC) at the departure time without any charging restriction during peak hours. A dynamic optimization algorithm programming which defines an optimal constant charging current for the PHEV is developed. If charging occurs at home, the application of the proposed optimal algorithm on 10 000 cases shows statistically that a load power chargers for PHEVs charged in residential electric grid areas equals to 373W (230Vx1.62A) ensures that 99.4% of the PHEVs batteries have a SOC equals to 100% for the next use.

Mots clés: State of Charge; Daily Load Profile; Dynamic optimization algorithm; Minimal charging current or power; Optimal algorithm; Plug-in Hybrid Electric Vehicle; Probabilistic algorith m; Residential electric grid areas; State of Charge.

Domaines: Automatique / Robotique; Energie électrique

Harun Turker, Ahmad Hably, Seddik Bacha. Dynamic Programming for Optimal Integration of Plug-in Hybrid Electric Vehicles (PHEV s) in Residential Electric Grid Areas. IECON 2012 - 38th Annual Conference of the IEEE Industrial Electronics Society, Oct 2012, Montreal, Canada. pp.1-6, ⟨10.1109/IECON.2012.6389428⟩. ⟨hal-00798107⟩