Gravity energy storage power distribution method based on load prediction model

• Main Authors: ZHANG RUI, HAO WENBEI, LIU ZHIYANG, YIN JIALIN, SONG HANGXUAN, XU MINGYU, MU XINGHUA
• Format: Patent
• Language: Chinese; English
• Published: 15.07.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a gravity energy storage power distribution method based on a load prediction model, relates to a gravity energy storage power distribution technology, and aims to solve the problem of unreasonable gravity energy storage power distribution caused by low load prediction accuracy in the prior art. According to the invention, a load prediction model based on a GAN network is established; the load of the gravity energy storage system is predicted by using the load prediction model, and a prediction result is output; calculating a peak regulation demand value and a frequency modulation demand value based on the prediction result; obtaining the value of a peak regulation participation factor and the value of a frequency modulation participation factor by combining the constraint condition of the gravity energy storage system and adopting a particle swarm algorithm; a peak regulation participation factor and a frequency modulation participation factor are adopted to jointly construct a power