Comparison of numerical methods and metaheuristic optimization algorithms for estimating parameters for wind energy potential assessment in low wind regions
Haiyan Jiang,
Jianzhou Wang,
Jie Wu and
Wei Geng
Renewable and Sustainable Energy Reviews, 2017, vol. 69, issue C, 1199-1217
Abstract:
Recently, with energy crises and environmental problems becoming increasingly obvious, the utilization of wind power has become a big concern. Meanwhile, the inconsistent relationship between China's economy and wind energy potential distribution has caused inevitable difficulties in transportation of wind power and even in grid integration. Therefore, the establishment of electrical power system integrated with local-used low-speed wind power has got considerable attention.
Keywords: Metaheuristic optimization algorithms; BA; CS; PSO; Low-speed wind assessment (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032116310176
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:69:y:2017:i:c:p:1199-1217
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic
DOI: 10.1016/j.rser.2016.11.241
Access Statistics for this article
Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski
More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().