Irregular distribution of wind power prediction

Autor:	Kun YUAN, Kaifeng ZHANG, Yaxian ZHENG, Dawei LI, Ying WANG, Zhenglin YANG
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Wind power prediction Normal distribution Irregular distribution Distribution model Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
Zdroj:	Journal of Modern Power Systems and Clean Energy, Vol 6, Iss 6, Pp 1172-1180 (2018)
Druh dokumentu:	article
ISSN:	2196-5625 2196-5420
DOI:	10.1007/s40565-018-0446-9
Popis:	Abstract Wind power is volatile and uncertain, which makes it difficult to establish an accurate prediction model. How to quantitatively describe the distribution of wind power output is the focus of this paper. First, it is assumed that wind speed is a random variable that satisfies the normal distribution. Secondly, based on the nonlinear relationship between wind speed and wind power, the distribution model of wind power prediction is established from the viewpoint of the physical mechanism. The proposed model successfully shows the complex characteristics of the wind power prediction distribution. The results show that the distribution of wind power prediction varies significantly with the point forecast of the wind speed.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/6ea1a4db530f4beda8f82d570a668db0 Zobrazit plný text záznamu Full text from SpringerLink View record in DOAJ