Optimization of electric vehicle charging scheduling in urban village networks considering energy arbitrage and distribution cost

Chitchai Srithapon, Prasanta Ghosh, Apirat Siritaratiwat, Rongrit Chatthaworn

Research output: Contribution to journalArticle

Abstract

Electric vehicles (EV) replacing the internal combustion engine vehicle may be the solution for the particulate matter (PM) 2.5 pollution issue. However, the uncontrolled charging of EVs would challenge the power system operation. Therefore, it is necessary to implement some level of control over the EV charging procedure, especially in the residential network. In this paper, an optimization of EVs charging scheduling considering energy arbitrage and the distribution network cost of an urban village environment is presented. The optimized strategy focuses on decreasing the loss of EV owners’ energy arbitrage benefit, introduced as the penalty cost. Also, peak demand, power loss, and transformer aging are included in the estimation of the cost function for the distribution network. The optimization problem is solved using the genetic algorithm. As a case study, data from the urban village in Udon Thani, Thailand, are utilized to demonstrate the applicability of the proposed method. Simulation results show a reduction in the loss of energy arbitrage benefit, transformer peak load, power loss and the transformer loss of life. Therefore, the application of the optimized EV charging can prolong transformer lifetime benefiting both the EV owner and the distribution system operator.

Original languageEnglish (US)
Article number349
JournalEnergies
Volume13
Issue number2
DOIs
StatePublished - Jan 1 2020

Fingerprint

Vehicle Scheduling
Electric Vehicle
Arbitrage
Electric vehicles
Transformer
Scheduling
Optimization
Costs
Energy
Distribution Network
Electric power distribution
Particulate Matter
Internal Combustion Engine
Distribution System
Internal combustion engines
Pollution
Cost functions
Power System
Cost Function
Penalty

Keywords

  • Electric vehicle
  • Energy arbitrage
  • Optimization
  • Power loss
  • Residential network
  • Transformer aging

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Optimization of electric vehicle charging scheduling in urban village networks considering energy arbitrage and distribution cost. / Srithapon, Chitchai; Ghosh, Prasanta; Siritaratiwat, Apirat; Chatthaworn, Rongrit.

In: Energies, Vol. 13, No. 2, 349, 01.01.2020.

Research output: Contribution to journalArticle

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