Abstract
Wind power is one of the most popular renewables and occupies a great proportion in the total capacity of the grid system. Secure operations of the grid system such as scheduling and dispatching dependent much on the prediction accuracy of power generation. This paper reviews wind power forecasting methods in multi-spatial scales and multi-temporal scales. In different spatial scales, methods for a single turbine, a wind farm, and even a large wind power generation area are considered in three parts respectively. In each part, firstly, forecasting methods are divided into methods with only historical wind information and methods with additional meteorological information, and then, classified up to four different temporal scales. Discussion about the similarity and discrepancy of these methods are also presented at the end of each part. Finally, this paper gives two examples of real applications where wind power forecasting methods are significant.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 36th Chinese Control Conference, CCC 2017 |
| Editors | Tao Liu, Qianchuan Zhao |
| Publisher | IEEE Computer Society |
| Pages | 10576-10583 |
| Number of pages | 8 |
| ISBN (Electronic) | 9789881563934 |
| DOIs | |
| State | Published - 7 Sep 2017 |
| Event | 36th Chinese Control Conference, CCC 2017 - Dalian, China Duration: 26 Jul 2017 → 28 Jul 2017 |
Publication series
| Name | Chinese Control Conference, CCC |
|---|---|
| ISSN (Print) | 1934-1768 |
| ISSN (Electronic) | 2161-2927 |
Conference
| Conference | 36th Chinese Control Conference, CCC 2017 |
|---|---|
| Country/Territory | China |
| City | Dalian |
| Period | 26/07/17 → 28/07/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Forecast method
- Review
- Spatial scale
- Temporal scale
- Wind power forecasting
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