Direct current power transmission system reactive power control method based on time sequence convolution residual network

• Main Authors: LI XIAOXIA, YANG HAILIANG, HUANG CONG, QIU WEI, LIAO MINGYANG, ZHENG QIKAI, HUANG SONGQIANG, HU FUYOU, SUN SHANGYUAN, LI HUAN, CHEN MINGJIA, LUO YIHUI
• Format: Patent
• Language: Chinese; English
• Published: 29.03.2024
• 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

According to the direct current power transmission system reactive power control method based on the time sequence convolution residual network provided by the invention, when the time sequence convolution residual network is trained, the historical optimal reactive power control strategy output by the reactive power optimization model is used for training; the reactive power optimization model is constructed based on the principle of the lowest network loss and the lowest voltage offset, so that the time sequence convolution residual network is trained based on the historical optimal reactive power control strategy output by the reactive power optimization model, and the optimal reactive power control strategy output by the reactive power optimization model is optimized. The time sequence convolution residual network not only can learn an optimal control strategy which enables the network loss and the voltage offset of the direct current power transmission system to be the lowest, but also can learn the time