Method of uncertainty analysis and error evaluation of wind-wind output

Canjie Wu

doi:10.1117/12.2682251

26 May 2023 Method of uncertainty analysis and error evaluation of wind-wind output

Canjie Wu

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127000I (2023) https://doi.org/10.1117/12.2682251
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

As a new type of energy, wind power and photovoltaic power generation are clean, low-carbon and renewable. As a reserve resource of modern power energy, compared with traditional fossil energy, they have their natural advantages. Since the beginning of the 21st century, scenic power generation has maintained a rapid development trend in the world, and its proportion in the power energy continues to grow. It has become a part of the modern power system that cannot be ignored. Compared with traditional fossil energy, solar power generation itself has great intermittency and uncertainty, which is also the main reason limiting the efficient use of solar power generation at present. In order to reduce the impact of large-scale grid-connection of solar power generation on the safe and economic operation of the power grid, it is necessary to predict the power of wind power and photovoltaic power generation. Accurate power generation prediction can reduce the risk of power grid operation and improve the economy of the power grid.

Citation Download Citation

Canjie Wu "Method of uncertainty analysis and error evaluation of wind-wind output", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127000I (26 May 2023); https://doi.org/10.1117/12.2682251

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