An enhanced adaptive bat algorithm for microgrid energy scheduling

Microgrid (MG) systems have been growing rapidly with increasing electric power generation through small distributed generators (DGs) including renewable generation systems. Optimal energy scheduling is one of the most important and challenging issues in the field of MG. In this paper, an enhanced a...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 232; p. 121014
Main Authors:	Yang, Qiangda, Dong, Ning, Zhang, Jie
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.10.2021 Elsevier BV
Subjects:	Adaptive algorithms Algorithms Bat algorithm Chiroptera Cogeneration Distributed generation Electric power Electric power distribution Electric power generation Energy Energy scheduling heat Information sharing Microgrid Optimization Photovoltaics power generation Power plants Scheduling Searching solar energy Wind power Energy scheduling Microgrid Bat algorithm
ISSN:	0360-5442, 1873-6785
Online Access:	Get full text
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