DocumentCode :
233108
Title :
A new approach to distributed charging control for plug-in hybrid electric vehicles
Author :
Yuting Mou ; Hao Xing ; Zhiyun Lin ; Minyue Fu
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
8118
Lastpage :
8123
Abstract :
Plug-in hybrid electric vehicles (PHEV) tend to become more widespread in the next decades. However, large penetration of PHEVs will overload the distribution system. In smart grid, the charging of PHEVs can be controlled to reduce the peak load, which is known as demand side management (DSM). In this paper, we focus on the impact of PHEV charging on low-voltage transformers. The objective is to flatten the load curve of low-voltage transformers, while each consumer´s requirement for their PHEV to be charged to the required level by their specified time is satisfied. We first formulate it as a convex optimization problem and then propose a distributed water-filling-based algorithm to solve it. Proofs of optimality and numerical simulations are given to demonstrate the effectiveness of our algorithm.
Keywords :
convex programming; demand side management; distributed control; hybrid electric vehicles; secondary cells; smart power grids; transformers; DSM; PHEV charging; convex optimization; demand side management; distributed charging control; distributed water-filling based algorithm; load curve; low-voltage transformers; plug-in hybrid electric vehicles; smart grid; Aggregates; Batteries; Educational institutions; Numerical simulation; Plug-in hybrid electric vehicles; Power demand; System-on-chip; Demand Side Management; Distributed Convex Optimization; Plug-in Hybrid Electric Vehicle; Smart Grid; Water Filling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896359
Filename :
6896359
Link To Document :
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