Application of new multi-objective optimization algorithm for EV scheduling in smart grid through the uncertainties

Ecological and economics issues are caused to give careful consideration to electric vehicles (EV) and sustainable power source assets. One of the proposed answers for increment the impact of these assets, is to utilize the electric vehicles potential. The capability of electric vehicles require pla...

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Veröffentlicht in:	Journal of ambient intelligence and humanized computing Jg. 11; H. 5; S. 2071 - 2103
Hauptverfasser:	Yin, WanJun, Mavaluru, Dinesh, Ahmed, Munir, Abbas, Mazhar, Darvishan, Aida
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2020 Springer Nature B.V
Schlagworte:	Algorithms Alternative energy sources Artificial Intelligence Computational Intelligence Consumers Demand side management Ecological effects Electric potential Electric power systems Electric vehicles Electricity distribution Energy consumption Energy resources Energy storage Engineering Flexibility Fossil fuels Hybrid vehicles Impact strength Industrial plant emissions Integer programming Multiple objective analysis Optimization Optimization algorithms Original Research Planning Pollutants Power management Power plants Power sources Renewable resources Robotics and Automation Scheduling Smart grid Uncertainty User Interfaces and Human Computer Interaction EV Demand response Renewables source Multi-objective scheduling Optimization
ISSN:	1868-5137, 1868-5145
Online-Zugang:	Volltext
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