A method and device for power quality control based on deep learning
A power quality, deep learning technology, applied in adaptive control, general control system, control/regulation system, etc., can solve the problems of real-time, poor accuracy and so on
Active Publication Date: 2022-01-25
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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[0004] This application provides a power quality control method and device based on deep learning, which is used to solve the existing technical problems of poor real-time and poor accuracy of power quality control
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[0036] The embodiment of the present application provides a deep learning-based power quality control method and device, which are used to solve the existing technical problems of poor real-time and poor accuracy of power quality control.
[0037] In order to make the purpose, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the following The described embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0038] see figure 1 , the first embodiment of the present application provides a power quali...
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This application provides a power quality control method and device based on deep learning, including: obtaining power quality data; inputting power quality data into a trained power quality control model; performing calculations through the power quality control model to obtain power quality control The power quality problem identification result output by the model and the power quality problem solving strategy corresponding to the power quality problem recognition result are used to control the power quality of the power grid system according to the power quality problem solving strategy corresponding to the power quality problem recognition result. In this application, by adding deep learning, based on the actual power quality data input to the trained power quality control model, through the deep learning network to identify power quality problems and obtain corresponding power quality problem solving strategies, in order to carry out real-time monitoring of the power grid system according to the obtained strategies The control adjustment solves the technical problems of poor real-time and poor accuracy of the existing power quality control methods.
Description
technical field [0001] The present application relates to the technical field of power control, and in particular to a deep learning-based power quality control method and device. Background technique [0002] Power quality issues have attracted more and more attention from power supply companies and power consumers. The factors that affect power quality mainly focus on the reduction of power factor of the distribution network, harmonics generated by frequency converters during work, and unbalanced three-phase loads. aspect. At the same time, with the combination of AC and DC, new energy access and the use of a large number of power electronic equipment, the modern power grid shows more complex random characteristics and multi-source big data characteristics, which greatly increases the uncertainty and complexity of the power grid operating environment. It has a very profound impact on the modern power grid dispatching system. [0003] The existing power quality control me...
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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 雷二涛马明杜婉琳王玲周永言王朋刘剑锋向谆潘君镇
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID