| Abstract |
Renewable energy includes wind power, solar power, geothermal energy, biomass energy... and so on. Although it is very extensive, wind power and solar power are the most popular methods at present, especially the huge resources invested in offshore wind power. However, wind power varies with regions, seasons and weather, which affects the stability of wind power generation, which is not conducive to the overall power dispatch. If the weather information can be used to predict the wind power generation in advance , Which can make power dispatching more flexible. Based on historical data of power generation from Changhua Zhanggong Wind Power Station and meteorological data from Changhua County West Observation Station of Meteorological Bureau, this paper uses linear regression to establish a polynomial relationship between wind speed and power generation, and explores the use of wind speed to estimate power generation. It is found that the difference between the basic linear regression, the quadratic equation and the cubic equation is relatively large, while the difference between the cubic equation and the fifth equation is relatively small. It can also be seen that the third power of the wind speed is indeed related to the power of the wind. |
