The invention discloses a
wind power plant micro-siting assessment method based on
spatial analysis and climate adaptability, relates to the technical field of
wind power plant siting, and solves the problems that in the prior art,
spatial analysis depends on static topographic data, climate adaptability assessment uses dynamic meteorological data, and the static topographic data and the dynamic meteorological data lack a space-
time synchronization mechanism; and a prediction result has a large deviation. The method comprises the following steps: firstly, acquiring multi-
source data and fusing to realize time-space synchronization of the data; then, constructing and solving an objective function to obtain a candidate
point set, and screening out an optimized point distribution scheme of which the prevailing
wind direction coverage is greater than a set threshold value; and finally, inputting prediction data of various extreme climates into the cost-per-kilowatt-hour model, introducing
extreme climate toughness parameters into calculation to carry out climate adaptability data correction, and calculating return on investment cycles under different carbon emission scenes. Through the steps, the limitation that only static wind resources are concerned on traditional
site selection is broken through, and combined evaluation of the regional climate adaptability and the complex
terrain adaptability is achieved.