Multi-objective energy management of multiple microgrids under random electric vehicle charging

In view of the increasing development of decentralized power systems and electric vehicles, this paper seeks to improve the energy management performance of multiple microgrid systems under the uncertainty associated with electric vehicle charging. A multi-objective optimization model is established...

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Veröffentlicht in:	Energy (Oxford) Jg. 208; S. 118360
Hauptverfasser:	Tan, Bifei, Chen, Haoyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.10.2020 Elsevier BV
Schlagworte:	Adaptive algorithms Algorithms Back propagation networks carbon case studies Computer simulation Consistency algorithm Decomposition Deep learning Distributed generation Economic models Electric power systems Electric vehicle charging Electric vehicles Electrical loads energy Energy management Evolutionary algorithms Evolutionary computation Genetic algorithms Long short-term memory Machine learning Mathematical models Multi-microgrids Multiple objective analysis Neural networks Operating costs Optimization Pareto optimality Shannon-Wiener index Transmission loss uncertainty Long short-term memory Pareto optimality Electric vehicles Shannon-Wiener index Multi-microgrids Consistency algorithm
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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