Integration of PHEV smart charging method to hybrid wind power/battery storage system

Yin Yao, Wenzhong Gao, Yan Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication45th North American Power Symposium, NAPS 2013
DOIs
StatePublished - Dec 1 2013
Event45th North American Power Symposium, NAPS 2013 - Manhattan, KS, United States
Duration: Sep 22 2013Sep 24 2013

Publication series

Name45th North American Power Symposium, NAPS 2013

Other

Other45th North American Power Symposium, NAPS 2013
CountryUnited States
CityManhattan, KS
Period9/22/139/24/13

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

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    Yao, Y., Gao, W., & Li, Y. (2013). Integration of PHEV smart charging method to hybrid wind power/battery storage system. In 45th North American Power Symposium, NAPS 2013 [6666873] (45th North American Power Symposium, NAPS 2013). https://doi.org/10.1109/NAPS.2013.6666873