Evaluation of the Electric Vehicle Impact in the Power Demand Curve in a Smart Grid Environment

Hugo Morais, Tiago Sousa, Zita Vale, Pedro Faria

Research output: Contribution to journalJournal articleResearchpeer-review


Smart grids with an intensive penetration of distributed energy resources will play an important role in future power system scenarios. The intermittent nature of renewable energy sources brings new challenges, requiring an efficient management of those sources. Additional storage resources can be beneficially used to address this problem; the massive use of electric vehicles, particularly of vehicle-to-grid (usually referred as gridable vehicles or V2G), becomes a very relevant issue. This paper addresses the impact of Electric Vehicles (EVs) in system operation costs and in power demand curve for a distribution network with large penetration of Distributed Generation (DG) units. An efficient management methodology
for EVs charging and discharging is proposed, considering a multi-objective optimization problem. The main goals of the proposed methodology are: to minimize the system operation costs and to minimize the difference between the minimum and maximum system demand (leveling the power demand curve). The proposed methodology perform the day-ahead scheduling of distributed energy resources in a distribution network with high penetration of DG and a large number of electric vehicles. It is used a 32-bus distribution network in the case study section considering different scenarios of EVs penetration to analyze their impact in the network and in the other energy resources management
Original languageEnglish
JournalEnergy Conversion and Management
Pages (from-to)268–282
Publication statusPublished - 2014


  • Distributed generation
  • Power demand curve
  • Mixed-integer linear programming
  • Smart grid
  • Vehicle-to-grid


Dive into the research topics of 'Evaluation of the Electric Vehicle Impact in the Power Demand Curve in a Smart Grid Environment'. Together they form a unique fingerprint.

Cite this