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...

Full description

Saved in:

Bibliographic Details
Published in:	Energy conversion and management Vol. 229; p. 113779
Main Authors:	He, Yi, Guo, Su, Zhou, Jianxu, Wu, Feng, Huang, Jing, Pei, Huanjin
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.02.2021 Elsevier Science Ltd
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!