Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower pollination algorithm

Full text for this resource is not available from the Research Repository.

Moghaddam, Mohammad Jafar Hadidian, Kalam, Akhtar ORCID: 0000-0002-5933-6380, Nowdeh, Saber Arabi, Ahmadi, Abdollah, Babanezhad, Manoochehr and Saha, Sajeeb (2019) Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower pollination algorithm. Renewable Energy, 135. pp. 1412-1434. ISSN 0960-1481

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/41446
DOI https://doi.org/10.1016/j.renene.2018.09.078
Official URL https://www.sciencedirect.com/science/article/pii/...
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > College of Science and Engineering
Keywords photovoltaic panels; wind turbine; fuel cell; total net present cost; intelligent flower pollination algorithm; energy; loss of energy expected; loss of load expected; teaching-learning based optimization; particle swarm optimization; hybrid renewable energy
Citations in Scopus 75 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login