A novel sizing method of a standalone photovoltaic system for powering a mobile network base station using a multi-objective wind driven optimization algorithm

•A novel MO-WDO method to optimally size a standalone PV system is proposed.•LSTM model is proposed to predict the performance of a PV module.•An explicit battery model is utilized to express its dynamic behaviour.•Well formulated multi-objective functions are utilized.•Sizing ratios for the PV syst...

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Bibliographic Details
Published in:	Energy conversion and management Vol. 238; p. 114179
Main Authors:	Ibrahim, Ibrahim Anwar, Sabah, Slaiman, Abbas, Robert, Hossain, M.J., Fahed, Hani
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 15.06.2021 Elsevier Science Ltd
Subjects:	administrative management Algorithms Arrays Artificial neural networks Batteries Computer simulation Deep learning energy conversion Errors life cycle costing Life cycle costs Life cycles linear models Long short-term memory Long term memory Machine learning memory Minimum cost Mobile network base station Model accuracy Multi-objective optimization Multiple objective analysis Neural networks Optimization Optimization algorithms Photovoltaic (PV) Photovoltaic cells Photovoltaics probability Radio equipment Sizing solar collectors Standalone PV system Statistical analysis Testing time Weather Wind Deep learning Photovoltaic (PV) Multi-objective optimization Mobile network base station Standalone PV system
ISSN:	0196-8904, 1879-2227
Online Access:	Get full text
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