Abstract
The quantitative analysis of wind power intermittency is the basic work for wind power integration with high efficiency and safety. Firstly, the frequency of start-stop of wind turbine in unit time is defined as a new parameter to describe the intermittence of wind power. Based on the metric, the data from two typical wind farms that located in the northern area of China is used to analyze the seasonal and nycterohemeral variation characteristics of wind power intermittency. The probability distribution of the frequency of start-stop of wind turbine is assessed in this research as well. The results show that intermittent characteristics has a large seasonal variation difference but similar nycterohemeral variations charactiscs. Moreover, wind power intermittency is generally stronger in daytime. The longitudinal time series analysis method is used to assess the probability distribution of the start-stop frequency of wind turbines at different time. The Exponential2 function is used to fit this distribution. Next, function adaptability of data from different years are further studied. Finally, the application feasibility of this parameter in real scene is discussed.
| Translated title of the contribution | Quantitative measurement and analysis of wind power intermittence based on start-stop frequency of wind turbines |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 342-350 |
| Number of pages | 9 |
| Journal | Taiyangneng Xuebao/Acta Energiae Solaris Sinica |
| Volume | 42 |
| Issue number | 4 |
| DOIs | |
| State | Published - 28 Apr 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Fingerprint
Dive into the research topics of 'Quantitative measurement and analysis of wind power intermittence based on start-stop frequency of wind turbines'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver