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PSO-based Method to Find Electric Vehicle's Optimal Charging Schedule under Dynamic Electricity Price
Conference proceeding

PSO-based Method to Find Electric Vehicle's Optimal Charging Schedule under Dynamic Electricity Price

Jing An, BingYao Huang, Qi Kang, MengChu Zhou and IEEE
2013 10TH IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), pp.913-918
IEEE International Conference on Networking Sensing and Control
01/01/2013
DOI: https://doi.org/10.1109/ICNSC.2013.6548859

Abstract

Automation & Control Systems Computer Science Computer Science, Hardware & Architecture Remote Sensing Science & Technology Technology
Owning to greenhouse effect and exhaustible gasoline, there is a need for the automobile industry to develop electric vehicles (EVs). EV owners' major concern is about how to minimize operating cost under dynamic market electricity price. Optimization of a charging scenario draws great attention from the researchers worldwide. This paper presents a particle swarm optimization (PSO) based optimization approach that can help EV owners achieve the most economical charging behavior.

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