DocumentCode :
232737
Title :
Scheduling of electric vehicle charging request and power allocation at charging stations with renewable energy
Author :
Li Jingwei ; Yang Bo ; Xu Yang ; Chen Cailian ; Guan Xinping ; Zhang Weidong
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
7066
Lastpage :
7071
Abstract :
Smart grid, a concept proposed in 2003, is now attracting more and more attention because of its ability to integrate intensive information and renewable energy generating infrastructures. This paper focuses on scheduling charging process between multiple electric vehicles and charging stations in smart grid with renewable energy and storage devices. From the perspective of the whole system, the goal of minimizing the time average electricity cost with time-varying electricity price can be reached in this paper. With the participation of storage devices, charging-station-private renewable generation and electric vehicles power demands, we mathematically formulate a stochastic optimal problem and address it by employing Lyapunov optimization methods. Through mathematical derivation, stability of storage devices is achieved. Meanwhile, the upper bound for time average electricity cost can be calculated. The feature of our research is the independence on stochastic distribution of demand and renewable generation. Simulation results show the convergence of storage device state of charging (SOC) and illustrate the efficiency and performance of our algorithm.
Keywords :
battery powered vehicles; cost reduction; energy storage; mathematical analysis; optimisation; power generation economics; power system stability; pricing; renewable energy sources; scheduling; smart power grids; stochastic processes; Lyapunov optimization method; SOC; charging-station-private renewable generation; electric vehicle charging request scheduling; electric vehicle power demand; mathematical formulation; power allocation; renewable energy generating infrastructure; smart grid; stability; state of charging; stochastic demand distribution; stochastic optimal problem; storage device; time average electricity cost minimization; time-varying electricity pricing; Batteries; Charging stations; Electricity; Optimization; Renewable energy sources; System-on-chip; Vehicles; EV guidance; Lyapunov optimization; Smart grid; energy storage device; renewable generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896166
Filename :
6896166
Link To Document :
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