Multi-period optimization model for electricity generation planning considering plug-in hybrid electric vehicle penetration

Lena Ahmadi, Ali Elkamel, Sabah A. Abdul-Wahab, Michael Pan, Eric Croiset, Peter L. Douglas, Evgueniy Entchev

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

One of the main challenges for widespread penetration of plug-in hybrid electric vehicles (PHEVs) is their impact on the electricity grid. The energy sector must anticipate and prepare for this extra demand and implement long-term planning for electricity production. In this paper, the additional electricity demand on the Ontario electricity grid from charging PHEVs is incorporated into an electricity production planning model. A case study pertaining to Ontario energy planning is considered to optimize the value of the cost of the electricity over sixteen years (2014-2030). The objective function consists of the fuel costs, fixed and variable operating and maintenance costs, capital costs for new power plants, and the retrofit costs of existing power plants. Five different case studies are performed with different PHEVs penetration rates, types of new power plants, and CO2 emission constraints. Among all the cases studied, the one requiring the most new capacity, (~8748 MW), is assuming the base case with 6% reduction in CO2 in year 2018 and high PHEV penetration. The next highest one is the base case, plus considering doubled NG prices, PHEV medium penetration rate and no CO2 emissions reduction target with an increase of 34.78% in the total installed capacity in 2030. Furthermore, optimization results indicate that by not utilizing coal power stations the CO2 emissions are the lowest: ~500 tonnes compared to ~900 tonnes when coal is permitted.

Original languageEnglish
Pages (from-to)3978-4002
Number of pages25
JournalEnergies
Volume8
Issue number5
DOIs
Publication statusPublished - 2015

Fingerprint

Plug-in hybrid vehicles
Hybrid Electric Vehicle
Plug-in
Electricity
Optimization Model
Penetration
Planning
Power Plant
Costs
Power plants
Coal
Grid
Production Planning
Energy
Lowest
Maintenance
Sector
Objective function
Optimise
Target

Keywords

  • Carbon management
  • Energy planning
  • Forecasting
  • Mixed integer programing
  • Optimization
  • Plug-in hybrid electric vehicles
  • Power plants

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Multi-period optimization model for electricity generation planning considering plug-in hybrid electric vehicle penetration. / Ahmadi, Lena; Elkamel, Ali; Abdul-Wahab, Sabah A.; Pan, Michael; Croiset, Eric; Douglas, Peter L.; Entchev, Evgueniy.

In: Energies, Vol. 8, No. 5, 2015, p. 3978-4002.

Research output: Contribution to journalArticle

Ahmadi, Lena ; Elkamel, Ali ; Abdul-Wahab, Sabah A. ; Pan, Michael ; Croiset, Eric ; Douglas, Peter L. ; Entchev, Evgueniy. / Multi-period optimization model for electricity generation planning considering plug-in hybrid electric vehicle penetration. In: Energies. 2015 ; Vol. 8, No. 5. pp. 3978-4002.
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