Multi-dimensional correlation three-core cable dynamic current-carrying capacity prediction method and system

• Main Authors: LIU WENPING, ZHOU HENG, LUO HAIXIN, ZHANG ZHIQIANG, MENG CHENXU, YANG XIAOYONG, CHEN QUAN, YANG TING, NIU BORUI, LI XINHAI, ZENG LINGCHENG, CHEN YU, DENG XIAOLONG, LIU YONG, YAO GUANGJIU
• Format: Patent
• Language: Chinese; English
• Published: 25.04.2023
• Subjects: ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR; PHYSICS; TARIFF METERING APPARATUS; TESTING

The invention relates to the technical field of power cable current-carrying capacity, and discloses a multi-dimensional correlation three-core cable dynamic current-carrying capacity prediction method and system, and the method comprises the steps: obtaining cable temperatures of a three-core cable under different laying environment conditions and corresponding cable loads; fitting a cable temperature-load change sequence set obtained after classification, calculating a characteristic value of the cable temperature, optimizing network parameters of a GRNN generalized regression neural network by adopting an artificial bee colony algorithm, and performing iterative training by taking the characteristic value of the cable temperature as an input quantity and taking the cable load corresponding to the temperature data as an output quantity to obtain a cable temperature-load change sequence set; inputting the cable temperature measured at the future moment into the trained GRNN generalized regression neural netw