A method and device for determining process control data based on a power project

Abstract

The application relates to a power project-based process management data determination method and device. The method comprises the following steps: acquiring real-time electrical data of a storage battery corresponding to a power project, each preset state-of-charge estimation sub-model, real-time scene data of the storage battery and an initial state-of-charge estimation model; according to the real-time scene data of the storage battery, each preset state-of-charge estimation sub-model is deployed on each neuron node of the model; the real-time electrical data of the storage battery is input into the deployed model to obtain real-time state-of-charge estimation data; the parameters of the deployed model are adjusted by using a random state-of-charge algorithm and the real-time state-of-charge estimation data to obtain an optimized state-of-charge estimation model; the real-time electrical data of the storage battery is input into the optimized model to obtain optimized state-of-charge estimation data; and the real-time state-of-charge estimation data and the optimized state-of-charge estimation data are fused to obtain target state-of-charge estimation data, so that the operation and maintenance efficiency of the power project can be improved.

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