Wind power plant energy storage power prediction time window selection method and device based on ant colony algorithm

• Main Authors: SUN CAIXIN, WANG PENGFEI, SHEN XUHUI, MA JIE, WANG HONGCE, SHI CHENGYU, YANG JIELI, PAN XIAOFENG
• Format: Patent
• Language: Chinese; English
• Published: 08.11.2022
• 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 a wind power plant energy storage power prediction time window selection method and equipment based on an ant colony algorithm, and the method comprises the steps: calculating a confidence interval of a power error, a short-term prediction electric quantity and a real-time limit, employing the ant colony algorithm for calculation, obtaining a specified position element of an ant colony algorithm taboo table as simulation data, and carrying out the calculation of the simulation data; calculating mathematical expectations of earnings at different moments, and drawing a graph according to the mathematical expectations to select an optimal window. According to the invention, the transmission of deviation data can be reduced, the control strategy of the energy storage system is optimized, and the actual power of the wind power plant is optimized; on one hand, a good data basis can be provided for formulating an energy storage flexible control strategy, on the other hand, data which is far aw