Method and device for processing power system data, and electronic device

Abstract

The invention provides a method and device for processing power system data, and an electronic device. The method comprises the following steps of obtaining the learning value information in the operation data of a power system on the basis of a pre-trained depth strengthening learning model; determining the running state of the power system according to the obtained learning value information; according to the running state of the power system, determining a control decision, wherein the control decision is used for guaranteeing safe and stable operation of the power system. According to theinvention, starting from the power grid data, the learning value information in the running data of the power system is obtained on the basis of the pre-trained depth strengthening learning model, andthe running state of the power system is determined according to the obtained learning value information and a reasonable control scheme is given; the dependence of the power grid analysis on the physical model can be avoided, the model framework does not need to be readjusted for different scenes and different running modes, the training efficiency is high, and the applicability is high.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, device and electronic equipment for processing power system data. Background technique [0002] With the increasing proportion of new power supply and consumption such as new energy and electric vehicles in the power grid, traditional power system analysis methods are less applicable to power grid analysis and control under the new development situation, and cannot meet the requirements of power grid development. Specifically, the traditional power system Analytical control often uses physical model-based modeling to construct mathematical equations and solve them, and determine the system state based on the calculation results. However, as the structure of the power system becomes more and more complex, the analysis method based on the physical model is difficult to adapt to the needs of the power grid, and the reliability of the analysis results decreases. C...

AI Technical Summary

Problems solved by technology

[0002] With the increasing proportion of new power supply and consumption such as new energy and electric vehicles in the power grid, traditional power system analysis methods are less applicable to power grid analysis and control under the new development situation, and cannot meet the requirements of power grid development. Specifically, the traditional power system Analytical control often uses physical model-based modeling to construct mathematical equations and solve them, and determine the system state based on the calculation results

However, as the structure of the power system becomes more and more complex, the analysis method based on the physical model is difficult to adapt to the needs of the power grid, and the reliability of the analysis results decreases.

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