A new measure of wind power variability with implications for the optimal sizing of standalone wind power systems

RENEWABLE ENERGY

卷:150

Article

Yuan, Qiheng¹  Zhou, Keliang³  Yao, Jing² 

[1] Univ Glasgow, James Watt Sch Engn, Glasgow G11 8QQ, Lanark, Scotland

[2] Univ Glasgow, Urban Big Data Ctr, Glasgow G12 8RZ, Lanark, Scotland

[3] Wuhan Univ Technol, Sch Automat, Wuhan 430070, Peoples R China

关键词: Wind power variability measurement;    Standalone wind power system;    Power fluctuation mitigation;    Power supply reliability;    Optimal sizing;   

DOI  :  10.1016/j.renene.2019.12.121

来源: Elsevier

【 摘 要 】

This paper proposes a new measure of wind power variability and investigates the impacts of wind power variability on the optimal sizing of Standalone Wind Power (SWP) systems. The proposed new measure of the wind power variability in the frequency domain, which mainly includes a cumulative energy distribution index and a fluctuation factor, is applied to assess the variability of wind power throughout 6 consecutive years from 6 far apart sites from latitude 0 degrees-50 degrees across America. Big data assessment results indicate the intermittent wind power at one site can be treated as Quasi-Time-Invariant (QTI) in the frequency domain. Big data simulations of the six SWP systems with the same residential load demand at the six sites provide QTI responses of the power supply reliability against the sizing of the system components in the mitigation of wind power variability. A case study of optimal sizing of a SWP system at Chicago, was carried out, which aims to minimize the system cost while satisfying the requirement of power supply reliability. It can be found from the study that, the proposed approach provides a new way to significantly reduce the computation in the optimal sizing of SWP systems. (C) 2019 Elsevier Ltd. All rights reserved.

【 授权许可】

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