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Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm

Rahman, Imran and Vasant, Pandian and Mahinder Singh, Balbir Singh and Abdullah-Al-Wadud, M. (2014) Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm. In: 3rd International Conference on Fundamental and Applied Sciences (ICFAS2014), June 3-5, 2014, KL Convention Centre, Kuala Lumpur, MALAYSIA.

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Abstract

Recent researches towards the use of green technologies to reduce pollution and increase penetration of renewable energy sources in the transportation sector are gaining popularity. The development of the smart grid environment focusing on PHEVs may also heal some of the prevailing grid problems by enabling the implementation of Vehicle-to-Grid (V2G) concept. Intelligent energy management is an important issue which has already drawn much attention to researchers. Most of these works require formulation of mathematical models which extensively use computational intelligence-based optimization techniques to solve many technical problems. Higher penetration of PHEVs require adequate charging infrastructure as well as smart charging strategies. We used Gravitational Search Algorithm (GSA) to intelligently allocate energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Academic Subject One:Mission Oriented Research - Green Technologies - Water - Natural gas - Optimization
Academic Subject Two:Academic Department - Electrical And Electronics - Instrumentation and Control - Robotics - Hybrid vehicle
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:11900
Deposited By: Pandian Vasant
Deposited On:07 Oct 2016 01:42
Last Modified:07 Oct 2016 01:42

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