Online optimization method for high-temperature solid oxide electrolytic hydrogen production system

The invention relates to an online optimization method of a high-temperature solid oxide electrolytic hydrogen production system. The online optimization method comprises the following steps: S1, initializing model correction period parameters and online optimization period parameters; s2, using a least square support vector machine (LSSVM) to establish a mechanism model and a data model of field data errors as error correction of electrolytic tank voltage prediction, setting an online optimization period, and performing periodic rolling correction on electrolytic tank voltage prediction; s3, establishing a power model of each auxiliary machine part of the high-temperature solid oxide electrolytic hydrogen production system, calculating the hydrogen production efficiency of the electrolytic hydrogen production system as a target function, and setting upper and lower limits of each operation parameter; and S4, solving the optimal operation parameters of the hydrogen production efficiency in the current optimiz