An intelligent dispatching system for power grid in substation area

By adopting dynamic adaptive sampling strategies and hierarchical data processing architecture in the power supply grid in the station area, combined with the ADP algorithm, the problem that existing systems cannot capture load changes in real time is solved, efficient data processing and scheduling decisions are achieved, and the stability and resource utilization efficiency of the power grid are improved.

CN119134354BActive Publication Date: 2025-04-29BEIJING DEHUI RUIYUAN CONSULTING CO LTD
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Patent Information

Application Number
CN202411277445.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-12
Publication Date
2025-04-29
Estimated Expiration
2044-09-12

AI Technical Summary

Technical Problem

The existing power supply scheduling system in the existing station area cannot capture the rapid changes in power load and distributed energy in real time due to the fixed sampling frequency, resulting in lag in the scheduling system, unable to adjust the power supply strategy in time, and generate redundant data when the load is stable, increasing the system burden.

Method used

Adaptive sampling strategy that dynamically adjusts the data acquisition frequency is adopted, and the acquisition frequency is dynamically adjusted according to the real-time power load change rate, distributed energy output volatility and prediction error. Combined with the hierarchical data processing architecture and the adaptive dynamic programming ADP algorithm, a personalized scheduling strategy is generated and executed in real time.

Benefits of technology

It realizes timely capture of key data when load changes rapidly, reduces redundant data collection, reduces system storage and processing burden, improves the response speed and data processing efficiency of the scheduling system, and ensures the stability of the power grid and the optimization of resource utilization.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the field of electric power design technology, and in particular to an intelligent dispatching system for a power grid in an area; the present invention adopts an adaptive sampling strategy of real-time load fluctuations and distributed energy output characteristics; when the system detects rapid changes or abnormal fluctuations in load, the data collection frequency is automatically increased to ensure the capture of key information; when the load is stable, the sampling frequency is reduced to reduce the collection of redundant data; the adaptive sampling can dynamically adjust the collection frequency to ensure that important data is not lost at critical moments, while reducing the system burden; a layered data processing architecture is adopted to divide data processing into two layers, edge and cloud, the edge layer is responsible for preliminary processing of data collected in the area, including denoising, feature extraction, etc., to ensure data quality; only the key data that has been preliminarily processed is uploaded to the cloud for data analysis and decision optimization; the burden of data transmission and processing is reduced, and the real-time response capability of the dispatching system is improved.
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Citation Information

Patent Citations

  • Intelligent power supply equipment on low-voltage side of power grid district

    CN112713603A

  • Autonomous scheduling type virtual power plant system

    CN117878886A