DocumentCode :
666689
Title :
Network cooperative distributed pricing control system for large-scale optimal charging of PHEVs/PEVs
Author :
Rahbari-Asr, Navid ; Mo-Yuen Chow ; Zaiyue Yang ; Jiming Chen
Author_Institution :
Electr. & Comput. Eng. Dept., North Carolina State Univ., Raleigh, NC, USA
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
6148
Lastpage :
6153
Abstract :
Efficient demand management policies at the grid side are required for large scale charging of Plug-in Hybrid Electric Vehicles and Plug-in Electric vehicles (PHEVs/PEVs). The SoC level and Charging Cost should be optimized while the aggregate load is kept under a safety limit to avoid overloads. Conventionally, optimal managing of the charging rates requires gathering and processing data in a center. However, as the scale of the problem increases to consider thousands of charging stations distributed over a vast geographical area, the central approach suffers from vulnerability to single node/link failures as well as scalability. This paper introduces a novel decentralized network cooperative approach for controlling the PHEV/PEV charging rates. In this approach, each charging station acts as a local retailer of energy, selling the power to the plugged in vehicle while coordinating the price with its neighbors. In response to the offered price, the Smart-Charger of the vehicle adjusts the charging current to maximize the utility of the PHEV/PEV user. By iteratively repeating this process, the convergence to the global optimum is attained without the requirement for any central unit. Robustness to single link/node failures is another advantage of our method.
Keywords :
hybrid electric vehicles; pricing; PHEV-PEV; SoC level; charging cost; charging rates; charging station; decentralized network cooperative approach; efficient demand management policies; energy retailer; geographical area; grid side; large-scale optimal charging; link-node failures; network cooperative distributed pricing control system; plug-in hybrid electric vehicles; processing data; safety limit; scalability; single node-link failures; smart-charger; Batteries; Convergence; Observers; Optimization; Peer-to-peer computing; System-on-chip; Vehicles; Consensus Networks; Cooperative Systems; Decentralized Control; Distributed Optimization; PHEV/PEV Demand Management; Real-Time Pricing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6700146
Filename :
6700146
Link To Document :
بازگشت