A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm

•A nature-inspired driven approach is proposed to optimally design off-grid microgrid.•Development of a rule-based energy management scheme based on queuing theory.•The optimization problem minimizes energy cost and maximizes system reliability.•The proposed grasshopper optimization algorithm is com...

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Veröffentlicht in:	Energy conversion and management Jg. 221; S. 113161
Hauptverfasser:	Bukar, Abba Lawan, Tan, Chee Wei, Yiew, Lau Kwan, Ayop, Razman, Tan, Wen-Shan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.10.2020 Elsevier Science Ltd
Schlagworte:	Algorithms Alternative energy batteries Carbon dioxide Carbon dioxide emissions Clean energy Continuity (mathematics) Convergence cost effectiveness Diesel fuels Diesel generators Distributed generation Electrification energy conversion Energy management Energy management scheme energy use and consumption exhibitions flow generators (equipment) Grasshopper optimization grasshoppers literature Literature reviews Metaheuristic algorithms methodology Multiple objective analysis Objective function objectives Optimization algorithms Pareto-optimal front Particle swarm optimization Photovoltaics planning Power flow Renewable energy sources researchers Rule-based algorithm Search algorithms Sensitivity analysis Simulation storage supply Sustainable development Sustainable energy Turbines uncertainty Wind power Wind turbines yields Grasshopper optimization Rule-based algorithm Energy management scheme PV Metaheuristic algorithms Pareto-optimal front
ISSN:	0196-8904, 1879-2227
Online-Zugang:	Volltext
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