Energy storage optimization control method and system for wind storage combined operation

• Main Authors: SUN CAIXIN, SHEN XUHUI, YAN YAO, GUAN HEGEGE, LI NAN, FAN WENGUANG, PAN XIAOFENG
• Format: Patent
• Language: Chinese; English
• Published: 11.10.2022
• 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; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an energy storage optimization control method and system for wind storage combined operation. The method comprises the steps that corrected ultra-short-term power prediction data corresponding to all moments in a prediction period are acquired; substituting the ultra-short-term power prediction data into a pre-constructed energy storage flexible control model, and solving the energy storage flexible control model by using a particle swarm optimization algorithm to obtain an energy storage charging and discharging power reference value corresponding to each moment in a prediction time period; and performing optimization control on the charging and discharging power at each moment in the energy storage prediction time period based on the energy storage charging and discharging power reference value. According to the technical scheme provided by the invention, the particle swarm optimization algorithm is utilized to solve the energy storage flexible control model, the energy storage chargi