Method for estimating limited wind power output under low-temperature cold-tide extreme weather conditions

• Main Authors: PENG XIAOSHENG, SONG JIAJIONG, LI BAOJU, WANG ZHENG, WANG BO
• Format: Patent
• Language: Chinese; English
• Published: 03.02.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY

The invention discloses a method for estimating limited wind power output under low-temperature and cold-wave extreme weather conditions, which comprises the following steps of: dividing existing wind power plant data for training and testing a prediction model, and defining indexes in combination with low-temperature and cold-wave weather; screening the training data to obtain data of a wind power output limited time period and a wind power output normal time period under the low-temperature cold-wave extreme weather condition, and performing sample data combination expansion through a timeGAN and a CycleGAN; feature spectrums of the two types of data are constructed respectively, and a wind power output limited judgment model is obtained through training by combining an SVM algorithm; a wind power output limited time period prediction model and a wind power output normal time period prediction model under the low-temperature cold-wave extreme weather condition are constructed through an LSTM network model;