A power system stability boundary evaluation method, system, device and storage medium based on multi-time scale source and load characteristics

By employing a multi-timescale source-load characteristic assessment method, combined with steady-state and dynamic indicators, a fusion stability boundary for the power system is constructed. This addresses the insufficient applicability of traditional static analysis methods in electronic power grids, achieving more accurate stability assessment and enhanced security.

CN122136867APending Publication Date: 2026-06-02YUNNAN POWER GRID CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YUNNAN POWER GRID CO LTD
Filing Date
2026-02-05
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately assess the stability boundary of new power systems, especially after the introduction of renewable energy and power electronic equipment, where traditional static analysis methods cannot fully reflect the risk of dynamic instability.

Method used

A source-load characteristic evaluation method based on multiple time scales is adopted, which combines steady-state and dynamic stability indices. The maximum steady-state power is determined by static analysis and a dynamic disturbance tolerance function is established to construct a fusion stability boundary.

Benefits of technology

It enables comprehensive stability assessment of power systems at different time scales, provides more accurate security assessment tools, and enhances the power grid's ability to cope with source-load uncertainties and its security margin.

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Abstract

This invention discloses a method, system, device, and storage medium for power system stability boundary assessment based on multi-timescale source-load characteristics. It relates to the field of power system stability analysis and assessment. The method includes: establishing a power grid topology and defining steady-state and dynamic evaluation indicators; performing long-term static analysis; determining the maximum steady-state power of each node and sampling to generate a set of steady-state operating points; performing short-term dynamic analysis based on this set; establishing a dynamic model of power electronic equipment; evaluating the maximum power disturbance that each steady-state point can withstand; fitting a dynamic disturbance tolerance function; and fusing the static power limit and the dynamic tolerance function to construct a complete stability boundary expression. This invention can simultaneously assess the system's long-term static limit and short-term dynamic disturbance tolerance, forming a more comprehensive stable operating boundary and significantly improving adaptability and safety early warning capabilities for high-proportion renewable energy access and power electronic grids.
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