A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization algorithm

•A metaheuristic-driven method is proposed to optimally design off-grid micro-grids.•A data compression-directed model reduction preserves the computational tractability.•The moth-flame optimizer is superior to the well-established algorithms in this area.•A direct load control-demand response progr...

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Bibliographic Details
Published in:	Energy conversion and management Vol. 200; p. 112105
Main Authors:	Mohseni, Soheil, Brent, Alan C., Burmester, Daniel
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 15.11.2019 Elsevier Science Ltd
Subjects:	Algorithms batteries case studies Compression Computer applications Computer simulation consumers (people) Data compression Demand response Economics Electric converters Electric power demand Electric power grids Electric power supplies Electric vehicle Electric vehicles electricity Electricity consumption Electrification energy energy costs Energy management Energy storage Energy technology Iran life cycle costing Life cycle costs Meta-heuristic optimization Micro-grid Model reduction Optimal sizing Optimization Optimization algorithms Overloading Payback periods Performance evaluation Photovoltaics planning Problem solving Profitability Renewable energy sources Renewable energy technologies Sizing solar collectors Sustainable development Sustainable energy Turbines Wind power Wind turbines Iran Micro-grid Renewable energy sources Demand response Electric vehicle Optimal sizing Meta-heuristic optimization
ISSN:	0196-8904, 1879-2227
Online Access:	Get full text
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