A wind vector simulation model and its application to adequacy assessment
Shuwei Miao,
Hejun Yang and
Yingzhong Gu
Energy, 2018, vol. 148, issue C, 324-340
Abstract:
Modelling wind profile is crucial to the adequacy assessment of wind-integrated generation system. This paper characterizes the wind profile as a wind vector that consists of wind speed and direction. A wind vector simulation model is proposed to produce long-term wind vector samples, whilst maintain the probability distribution of actual wind vector as well as its gusty characteristics. Such model is incorporated into sequential simulation process of wind-integrated generation system, while the wake effect is considered with Jensen model. Then, adequacy assessment procedure considering wake effect is developed. Collected wind vector data from four distinctive sites in North Dakota in US are used to verify the proposed model. The wind-integrated IEEE Reliability Test System (IEEE-RTS) is used to demonstrate the application of the proposed model and the procedure to adequacy assessment. The impacts of wake effect, peak load, and wind turbine type on system adequacy are investigated in detail.
Keywords: Adequacy assessment; Copula; Monte Carlo simulation; Wake effect; Wind-integrated generation system (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544218301270
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:energy:v:148:y:2018:i:c:p:324-340
DOI: 10.1016/j.energy.2018.01.109
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().