Method and device for identifying operation mode of high-proportion new energy power system

By acquiring time-series simulation data of high-proportion renewable energy power systems, identifying characteristic indicators and performing cluster analysis, typical operating modes are identified. This solves the problem that traditional methods cannot accurately capture the operating characteristics of power systems, and enables precise identification of extreme risks and system optimization.

CN120951026APending Publication Date: 2025-11-14ELECTRIC POWER RES INST CHINA SOUTHERN POWER GRID CO LTD +1
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Patent Information

Application Number
CN202511464853.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-14
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

Traditional power system operation mode analysis methods cannot accurately capture the actual operating conditions of power systems in the context of high-proportion renewable energy penetration and power electrification, and are difficult to reveal the risks of the system under extreme conditions.

Method used

By acquiring time-series operation simulation data of high-proportion new energy power systems, determining multiple characteristic indicators, conducting cluster analysis, and based on the cluster analysis results, identifying typical operation modes with representativeness and risk disclosure capabilities according to pre-constructed typical operation mode screening rules.

Benefits of technology

It can comprehensively capture the dynamic operating characteristics of the system at different time scales, accurately depict the complex operating state under the background of high proportion of new energy access, significantly improve the ability to identify potential risks under extreme operating modes, and provide a scientific basis for power system planning, operation optimization and stability analysis.

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Abstract

The invention provides a high-proportion new energy power system operation mode identification method. The method comprises the steps of obtaining time sequence operation simulation data of a high-proportion new energy power system; determining a plurality of characteristic indexes of a daily operation scene of the high-proportion new energy power system according to the time sequence operation simulation data; performing clustering analysis on each feature index to obtain a clustering analysis result; and determining a typical operation mode of the high-proportion new energy power system according to a clustering analysis result and a pre-constructed typical operation mode screening rule. Compared with a traditional method, the method not only can dynamically adapt to a complex operation environment brought by high-proportion new energy access, but also can remarkably improve the identification capability of potential risks in an extreme operation mode, and extracts a typical operation mode with representativeness and risk revealing capability.
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