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

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.