The quantitative techno-economic comparisons and multi-objective capacity optimization of wind-photovoltaic hybrid power system considering different energy storage technologies

•Quantitative techno-economic comparisons of energy storages are conducted.•Operation characteristics of devices are considered in capacity optimization.•Comprehensive performance metrics of multi-objective algorithms are proposed.•Sensibility analysis of different load profile and resources level a...

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Veröffentlicht in:	Energy conversion and management Jg. 229; S. 113779
Hauptverfasser:	He, Yi, Guo, Su, Zhou, Jianxu, Wu, Feng, Huang, Jing, Pei, Huanjin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.02.2021 Elsevier Science Ltd
Schlagworte:	accuracy administrative management Algorithms batteries Capacity optimization Cost analysis cost effectiveness degradation Economics energy conversion Energy management Energy storage Evolutionary algorithms Genetic algorithms Hybrid systems hybrids hydrogen Hydrogen storage Hydrogen-based energy Model accuracy Multi-objective evolutionary algorithm Multiple objective analysis Operation characteristics Optimization Particle swarm optimization Performance assessment Photovoltaics probability Quantitative techno-economic comparison Reliability sorting Sorting algorithms storage supply Thermal energy Wind Capacity optimization Operation characteristics Quantitative techno-economic comparison Multi-objective evolutionary algorithm Energy storage
ISSN:	0196-8904, 1879-2227
Online-Zugang:	Volltext
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