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Wind Power Prediction System Software Performance Analysis and Optimization Research.
- Source :
- AIP Conference Proceedings; 2019, Vol. 2066 Issue 1, p020045-1-020045-6, 6p
- Publication Year :
- 2019
-
Abstract
- Wind farm power fluctuations will have a certain impact on the operation of the regional power grid, mainly due to voltage fluctuations caused by power fluctuations. Therefore, research and development of wind power prediction technology, especially ultra-short-term power forecasting. In order to submit the necessary information to the power dispatching department as soon as possible, it is convenient for system scheduling. At present, the power forecasting system on the dispatch side and part of the wind farm in China has gained popularity. However, there are widespread deficiencies in the stable operation of the system. As China's wind power forecasting system is further promoted in power grids and wind farms, how to further improve the stability and high efficiency of system operation has become an urgent issue. Therefore, combining the actual production experience of the existing wind power forecasting system, we analyze the performance of the existing wind power forecasting system to find out the problems that affect the smooth operation of the system, and consult domestic and foreign data to provide targeted information for each problem. There are constructive optimization proposals and a set of optimization solutions are given at the end. In addition, according to the final proposed solution, we have developed a wind power forecasting system optimization model to compare changes in the performance of the system before and after optimization, and then verify whether the optimization scheme is correct [ABSTRACT FROM AUTHOR]
- Subjects :
- WIND power
SYSTEMS software
WIND forecasting
WIND power plants
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2066
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 141688413
- Full Text :
- https://doi.org/10.1063/1.5089087