Optimal control of PEVs for energy cost minimization and frequency regulation in the smart grid accounting for battery state-of-health degradation

Tiansong Cui, Yanzhi Wang, Shuang Chen, Qi Zhu, Shahin Nazarian, Massoud Pedram

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

9 Scopus citations

Abstract

Plug-in electric vehicles (PEVs) are considered the key to reducing the fossil fuel consumption and an important part of the smart grid. The plug-in electric vehicle-to-grid (V2G) technology in the smart grid infrastructure enables energy flow from PEV batteries to the power grid so that the grid stability is enhanced and the peak power demand is shaped. PEV owners will also benefit from V2G technology as they will be able to reduce energy cost through proper PEV charging and discharging scheduling. Moreover, power regulation service (RS) reserves have been playing an increasingly important role in modern power markets. It has been shown that by providing RS reserves, the power grid achieves a better match between energy supply and demand in presence of volatile and intermittent renewable energy generation. This paper addresses the problem of PEV charging under dynamic energy pricing, properly taking into account the degradation of battery state-of-health (SoH) during V2G operations as well as RS provisioning. An overall optimization throughout the whole parking period is proposed for the PEV and an adaptive control framework is presented to dynamically update the optimal charging/discharging decision at each time slot to mitigate the effect of RS tracking error. Experimental results show that the proposed optimal PEV charging algorithm minimizes the combination of electricity cost and battery aging cost in the RS provisioning power market.

Original languageEnglish (US)
Title of host publicationProceedings - Design Automation Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015-July
ISBN (Print)9781450335201
DOIs
StatePublished - Jul 24 2015
Externally publishedYes
Event52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015 - San Francisco, United States
Duration: Jun 8 2015Jun 12 2015

Other

Other52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015
CountryUnited States
CitySan Francisco
Period6/8/156/12/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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    Cui, T., Wang, Y., Chen, S., Zhu, Q., Nazarian, S., & Pedram, M. (2015). Optimal control of PEVs for energy cost minimization and frequency regulation in the smart grid accounting for battery state-of-health degradation. In Proceedings - Design Automation Conference (Vol. 2015-July). [7167319] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/2744769.2744882