A New Fluctuation Index: Characteristics and Application to Hydro-Wind Systems

Xianxun Wang, Yadong Mei, Hao Cai and Xiangyu Cong
Additional contact information
Xianxun Wang: State Key Laboratory of Water Resource and Hydropower Engineering Science, Wuhan University, Wuhan 430072, Hubei, China
Yadong Mei: State Key Laboratory of Water Resource and Hydropower Engineering Science, Wuhan University, Wuhan 430072, Hubei, China
Hao Cai: State Key Laboratory of Water Resource and Hydropower Engineering Science, Wuhan University, Wuhan 430072, Hubei, China
Xiangyu Cong: POWERCHINA Kunming Engineering Corporation Limited, Kunming 650051, Yunnan, China

Energies, 2016, vol. 9, issue 2, 1-17

Abstract: Hydro-wind system output fluctuations are the primary factors used to assess the effects of hydropower on power companies compensating for wind power intermittency. Considering that most fluctuation indices can only characterize one aspect of fluctuations, namely, the quantitative or contour variations, we present a new index that uses the standard deviation (SD) and rotation angle to detect the quantitative variations and contour changes, respectively. Herein, the new index is compared with commonly used indices, specifically, the first-order difference, SD, and Richards-Baker flashiness indices. The results of tests performed using various processes and disposals show that: (1) when dealing with the process by moving average, repeating or overlay disposal, the new index performs comparably to the other indices, while when dealing with the process by zooming disposal, it more fully describes the fluctuation characteristics by taking both quantitative and contour variations into consideration; (2) when the new index is used to characterize the hydro-wind output fluctuations with different resources and capacities, the outcomes coincide with the mechanisms of hydro-wind systems. This study presents a new way to characterize the fluctuation of hydro-wind output.

Keywords: fluctuation characterization; hydro-wind output; standard deviation; rotation angle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://www.mdpi.com/1996-1073/9/2/114/pdf (application/pdf)
https://www.mdpi.com/1996-1073/9/2/114/ (text/html)

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:gam:jeners:v:9:y:2016:i:2:p:114-:d:64022

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().