A new intelligent method for optimal coordination of vehicle-to-grid plug-in electric vehicles in power systems

Article type: Research Article

Authors: Akbari-Zadeh, Mohammad-Reza | Kavousi-Fard, Farzaneh | Hoseinzadeh, Rasool | Baziar, Aliasghar | Saleh, Sadreddin

Affiliations: Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran

Note: [] Corresponding author. Rasool Hoseinzadeh, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran. Tel./Fax: +98 735468725; E-mails: m.saeedimoghadama@gmail.com; r.seda.rec@gmail.com

Abstract: Plug-in Electric Vehicles (PEVs) will play significant role in the future smart grids. In this regard, the increasing appearance of PEVs can create new challenges in the optimal operation of these devices. In this way, this paper suggests a new method for optimal coordination of PEVs for reducing the total cost of the system during the day. The proposed method makes use of the idea of vehicle-to-grid (V2G) for shifting the energy demand in the grid. The problem is then formulated in an intelligent framework based on bat algorithm (BA) and Monte Carlo method to be solved optimally. Meanwhile, we suggest a new modification method for BA to improve its search ability for optimal coordination of PEVs. The proposed problem is examined on the IEEE test system with five PEV fleets.

Keywords: Plug-in Electric Vehicle (PEV), Vehicle-to-Grid (V2G), Modified Bat Algorithm (MBA)

DOI: 10.3233/IFS-141414

Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1291-1298, 2015