Data-driven power distribution network distributed new energy consumption capability assessment method

• Main Authors: WANG RUOGU, LIU SHUHUA, LIU JIAN, SUN HONGLI, BAI HUAN, TANG LUTIAN, FENG NANZHAN, XIE HAIPENG, CHEN YUCHENG, GAO XIN, ZHANG YANTAO
• Format: Patent
• Language: Chinese; English
• Published: 20.07.2021
• 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 data-driven power distribution network distributed new energy consumption capability assessment method. The method comprises the following steps: 1) recording data accumulated by actual production and operation of a power system; 2) establishing a maximum new energy consumption capability evaluation model of the power distribution network; 3) calculating a maximum new energy output value as a label set by solving the model, and further forming a complete data set; 4) establishing a graph convolutional neural network model for power distribution network consumption capability evaluation, processing the data set in the step 3), and training the deep network by using the data set; and 5) quantizing a to-be-solved power grid operation mode, quickly and accurately calculating a maximum new energy output value through the trained network, and further calculating to obtain an annual power distribution network new energy output duration curve and the maximum new energy consumption electric qu