Analysis of the Impact of Low Temperature and Freezing Weather in Northern Guangxi on High-Altitude Wind Power Generation

  Introduction  The Hunan-Guangxi Corridor, rich in wind resources, is a channel for cold air to move southward into Guangxi. Every winter, there are often severe weather conditions such as low temperatures and freezing, which can lead to problems such as ice coating on wind turbine blades, changes in material and structural properties, and changes in load, resulting in reduced service life of wind turbines and affecting power generation capacity. In Guangxi, the impact of cold wave and low temperature weather on wind power generation has received widespread attention. Low temperature conditions have a significant impact on the operation phase of wind farms. Currently, there are few studies that statistically analyze the operation of wind turbines under low-temperature conditions and their impacts.

  Method  This paper utilized real-time observation data and 0.25 × 0.25 reanalysis data from the European Center ERA5, as well as data from wind energy companies in Guangxi on ice induced shutdowns and wind curtailment power losses. An analysis was conducted on the impact of the low temperature and freezing weather from December 15 to 24, 2023 on the high-altitude wind power generation in northern Guilin. Simultaneously, the formation mechanism and forecasting techniques of Guilin's severe low temperature and freezing weather were analyzed.

  Result  It is found that there is a correlation between environmental temperature, air humidity, and wind power loss, and a correlation formula is derived.

  Conclusion  This research provides a foundation for further prediction and early warning of low temperature weather and wind power generation in Guilin high-altitude wind farm. Using temperature forecasting products from numerical forecasting, the number of daily shutdowns and power losses in the future can be predicted in advance, assisting in wind power forecasting. At the same time, high-precision freezing disaster weather forecast and warning can optimize customer resource allocation, reduce customer property losses, and ensure personnel and equipment safety.