Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles
Joint Authors
Rahman, Imran
Mahinder Singh, Balbir Singh
Abdullah-Al-Wadud, M.
Vasant, Pandian
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Recent researches towards the use of green technologies to reduce pollution and higher penetration of renewable energy sources in the transportation sector have been gaining popularity.
In this wake, extensive participation of plug-in hybrid electric vehicles (PHEVs) requires adequate charging allocation strategy using a combination of smart grid systems and smart charging infrastructures.
Daytime charging stations will be needed for daily usage of PHEVs due to the limited all-electric range.
Intelligent energy management is an important issue which has already drawn much attention of researchers.
Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems.
In this paper, gravitational search algorithm (GSA) has been applied and compared with another member of swarm family, particle swarm optimization (PSO), considering constraints such as energy price, remaining battery capacity, and remaining charging time.
Simulation results obtained for maximizing the highly nonlinear objective function evaluate the performance of both techniques in terms of best fitness.
American Psychological Association (APA)
Rahman, Imran& Vasant, Pandian& Mahinder Singh, Balbir Singh& Abdullah-Al-Wadud, M.. 2015. Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074305
Modern Language Association (MLA)
Rahman, Imran…[et al.]. Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1074305
American Medical Association (AMA)
Rahman, Imran& Vasant, Pandian& Mahinder Singh, Balbir Singh& Abdullah-Al-Wadud, M.. Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074305
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074305