AGC test verification scene library construction method and system containing new energy

By standardizing and processing multi-source historical data of the power grid and conducting closed-loop simulation tests, a composite test scenario library was constructed, which solved the problem of the single dimension of AGC test scenario division and realized the comprehensive verification and efficient simulation test of the AGC system under new energy conditions.

CN122287151APending Publication Date: 2026-06-26STATE GRID JIANGSU ELECTRIC POWER CO LTD RESEARCH INSTITUTE +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID JIANGSU ELECTRIC POWER CO LTD RESEARCH INSTITUTE
Filing Date
2026-05-22
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

The existing AGC test scenarios are divided into only one dimension and lack composite test scenarios and abnormal working condition test scenarios adapted to new energy, resulting in the ineffective reuse of test data resources and low simulation test efficiency.

Method used

By standardizing and cleaning up historical operation data from multiple power grid sources, an initial data set for AGC testing is constructed. Valid samples are selected through closed-loop simulation testing. Feature clustering is performed based on typical, fault, and new energy output scenarios to eliminate redundant samples. A composite test scenario library is constructed, and extreme abnormal operating condition test scenarios are derived.

Benefits of technology

It enables effective verification of AGC systems under complex operating conditions, improves the effectiveness and reusability of test scenarios, covers composite operating conditions of typical, fault, and new energy power output scenarios, and enhances the efficiency and relevance of simulation tests.

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Abstract

This invention relates to the field of power dispatch and control technology, and in particular to a method and system for constructing an AGC test and verification scenario library containing new energy sources. The method first standardizes and cleans abnormal data from multi-source historical power grid operation data, performs AGC unit inversion correction, and generates initial AGC test data sets by dividing the data into segments according to a preset test duration. Then, based on each data set, AGC closed-loop simulation tests are performed, and valid test samples are selected according to power flow convergence to construct a preliminary scenario library. Further, from three dimensions—typical operation scenarios, fault scenarios, and new energy output scenarios—the valid samples are clustered and labeled to extract composite test scenarios and remove redundant samples. Finally, an AGC abnormal operating condition quantification model is constructed to derive extreme abnormal operating condition test scenarios, forming the final scenario library, thereby improving the comprehensive verification capability of the AGC system under high-proportion new energy conditions.
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