Optimal Charging Scheduling of Electric Vehicles in Smart Grids by Heuristic Algorithms Articles uri icon

publication date

  • April 2014

start page

  • 2449

end page

  • 2475

issue

  • 4

volume

  • 7

International Standard Serial Number (ISSN)

  • 1996-1073

abstract

  • Transportation electrification has become an important issue in recent decades and the large scale deployment of electric vehicles (EVs) has yet to be achieved. The smart coordination of EV demand addresses an improvement in the flexibility of power systems and reduces the costs of power system investment. The uncertainty in EV drivers' behaviour is one of the main problems to solve to obtain an optimal integration of EVs into power systems. In this paper, an optimisation algorithm to coordinate the charging of EVs has been developed and implemented using a Genetic Algorithm (GA), where thermal line limits, the load on transformers, voltage limits and parking availability patterns are taken into account to establish an optimal load pattern for EV charging-based reliability. This methodology has been applied to an existing residential low-voltage system. The results indicate that a smart charging schedule for EVs leads to a flattening of the load profile, peak load shaving and the prevention of the aging of power system elements.

keywords

  • electric vehicles; smart grids; genetic algorithms; power-systems; load management; demand; optimizattion; impact; integration; networks; model