Optimized electric vehicles charging in an urban village network considering transformer aging

Chitchai Srithapon, Prasanta Ghosh, Anirat Siritaratiwat, Rongrit Chatthaworn

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

Abstract

Electric vehicle (EV) replacing the internal combustion engine may be the solution to the PM2.5 pollution issues. However, uncontrolled increase of EVs would challenge the power-distribution-system operation, which includes the reduction of distribution transformer lifetime. Therefore, it is necessary to implement some level of control over EV charging procedure, especially in the residential network. In this paper, we present an optimization method for EV charging considering a transformer aging factor in an urban village environment. The optimized strategy focuses on the reduction of the charging cost, power loss and peak load power. The optimization problem is solved using the Genetic Algorithm (GA) in MATLAB. As a case study, we have used data from the village in Udon Thani, Thailand to demonstrate the applicability of the proposed method. Simulation results show a reduction in the charging cost, power loss cost and peak demand power. In addition, the application of the proposed method prolongs the transformer lifetime, which can benefit both EV owner and distribution system operator (DSO).

Original languageEnglish (US)
Title of host publication2019 IEEE Electrical Power and Energy Conference, EPEC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728134062
DOIs
StatePublished - Oct 2019
Event2019 IEEE Electrical Power and Energy Conference, EPEC 2019 - Montreal, Canada
Duration: Oct 16 2019Oct 18 2019

Publication series

Name2019 IEEE Electrical Power and Energy Conference, EPEC 2019

Conference

Conference2019 IEEE Electrical Power and Energy Conference, EPEC 2019
CountryCanada
CityMontreal
Period10/16/1910/18/19

Keywords

  • electric mobility
  • genetic algorithm
  • optimization
  • residential network
  • transformer loss of life

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Energy Engineering and Power Technology

Fingerprint Dive into the research topics of 'Optimized electric vehicles charging in an urban village network considering transformer aging'. Together they form a unique fingerprint.

  • Cite this

    Srithapon, C., Ghosh, P., Siritaratiwat, A., & Chatthaworn, R. (2019). Optimized electric vehicles charging in an urban village network considering transformer aging. In 2019 IEEE Electrical Power and Energy Conference, EPEC 2019 [9074820] (2019 IEEE Electrical Power and Energy Conference, EPEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEC47565.2019.9074820