DocumentCode
645723
Title
Integration of PHEV smart charging method to hybrid wind power/battery storage system
Author
Yin Yao ; Wenzhong Gao ; Yan Li
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA
fYear
2013
fDate
22-24 Sept. 2013
Firstpage
1
Lastpage
6
Abstract
In this paper, a stochastic model of plug-in hybrid electric vehicles´ (PHEV) charging loads is developed in Matlab to investigate its impact on the power grid. In this model, two main types of PHEVs are defined: public transportation vehicles and private vehicles. Different charging time schedules, charging speeds and battery capacities are considered for each type of vehicles. The simulation results reveal that there are two obvious load peaks (at noon and in the evening), if dumb charging method (V0G) is applied. Therefore, smart charging method (V1G) is introduced to mitigate the variation of charging loads. The optimization process is based on the output data of a wind power/battery energy storage system, so as to make better use of surplus wind power. Since variations on both generation and demand sides are decreased, the stability and reliability of the whole power system could be improved dramatically.
Keywords
battery powered vehicles; battery storage plants; hybrid electric vehicles; hybrid power systems; wind power plants; Matlab; PHEV smart charging method; battery capacities; charging load variation; charging speeds; charging time schedules; dumb charging method; hybrid wind power-battery storage system; load peaks; plug-in hybrid electric vehicle charging loads; power grid; power system reliability; power system stability; private vehicles; public transportation vehicles; smart charging method; stochastic model; surplus wind power; Batteries; Hybrid power systems; Load modeling; System-on-chip; Vehicles; Wind power generation; Plug-in hybrid electric vehicle; demand side response; smart charging; stochastic model; wind power/battery energy hybrid system;
fLanguage
English
Publisher
ieee
Conference_Titel
North American Power Symposium (NAPS), 2013
Conference_Location
Manhattan, KS
Type
conf
DOI
10.1109/NAPS.2013.6666873
Filename
6666873
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