Voltage support strength real-time monitoring method and system, storage medium and electronic equipment
The invention discloses a voltage support strength real-time monitoring method and system, a storage medium and electronic equipment, and belongs to the technical field of power grid stability analysis. According to the method, the pre-trained graph attention network model is utilized to predict the...
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creator | SUN HUADONG LI ZONGHAN YU LIN LEE BO-NA XU SHIYUN |
description | The invention discloses a voltage support strength real-time monitoring method and system, a storage medium and electronic equipment, and belongs to the technical field of power grid stability analysis. According to the method, the pre-trained graph attention network model is utilized to predict the parameters which cannot be measured in the new energy multi-station short-circuit ratio in real time, so that the voltage support strength of the new energy power system is quantified in real time, and the accuracy of voltage support strength prediction is greatly improved. Moreover, the data size and the calculation speed required by the method meet the necessary conditions of response driving, so that low-cost and large-range application is facilitated, the consumption level of a power grid for new energy power generation is better improved, the operation safety of new energy equipment is improved, and development and utilization of new energy are promoted. Therefore, the technical problem of low accuracy of the |
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According to the method, the pre-trained graph attention network model is utilized to predict the parameters which cannot be measured in the new energy multi-station short-circuit ratio in real time, so that the voltage support strength of the new energy power system is quantified in real time, and the accuracy of voltage support strength prediction is greatly improved. Moreover, the data size and the calculation speed required by the method meet the necessary conditions of response driving, so that low-cost and large-range application is facilitated, the consumption level of a power grid for new energy power generation is better improved, the operation safety of new energy equipment is improved, and development and utilization of new energy are promoted. 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According to the method, the pre-trained graph attention network model is utilized to predict the parameters which cannot be measured in the new energy multi-station short-circuit ratio in real time, so that the voltage support strength of the new energy power system is quantified in real time, and the accuracy of voltage support strength prediction is greatly improved. Moreover, the data size and the calculation speed required by the method meet the necessary conditions of response driving, so that low-cost and large-range application is facilitated, the consumption level of a power grid for new energy power generation is better improved, the operation safety of new energy equipment is improved, and development and utilization of new energy are promoted. 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According to the method, the pre-trained graph attention network model is utilized to predict the parameters which cannot be measured in the new energy multi-station short-circuit ratio in real time, so that the voltage support strength of the new energy power system is quantified in real time, and the accuracy of voltage support strength prediction is greatly improved. Moreover, the data size and the calculation speed required by the method meet the necessary conditions of response driving, so that low-cost and large-range application is facilitated, the consumption level of a power grid for new energy power generation is better improved, the operation safety of new energy equipment is improved, and development and utilization of new energy are promoted. Therefore, the technical problem of low accuracy of the</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY |
title | Voltage support strength real-time monitoring method and system, storage medium and electronic equipment |
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