Modeling wind power investments, policies and social benefits for deregulated electricity market – A review
Lakshmi Chinmoy,
S. Iniyan and
Ranko Goic
Applied Energy, 2019, vol. 242, issue C, 364-377
Abstract:
This paper reviews the different aspects of modeling wind energy systems namely investment, policies, performance, and social benefits for integration in deregulated power market. The wind energy system models depend on wind resource, electrical response of wind turbine generator and the returns of economic market. The paper focuses on identifying the sub-problems and their modeling approaches. Variability of the local power system and the wind resource are chaotic and are usually difficult to model. Satisfactory and some successful algorithms are discussed in detail. Machine Learning models are presented to predict market return and described by market trend and resource forecast. This paper, proposes the representation of risk from large wind integration in unit commitment and presents regional aggregation. The review is followed by critical costs modeling for wind energy projects and market risk mitigation strategies. Finally, social impact and energy security compliance from large scale wind integration are reviewed.
Keywords: Large scale wind integration; Energy models; Aggregation; Wind energy market; Wind energy policy; Cost of wind energy; Planning (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261919304970
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:appene:v:242:y:2019:i:c:p:364-377
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2019.03.088
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().