A stability analysis and early warning method for a building hydrogen-electricity coupling direct current microgrid

CN121365809BActive Publication Date: 2026-05-29STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
Filing Date
2025-12-16
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, the stability analysis methods for building hydrogen-electric coupled DC microgrids cannot accurately capture the nonlinear coupling effect across time scales between the electrical subsystem and the hydrogen energy subsystem. This results in lagging control strategies that are susceptible to disturbances, lack of collaborative optimization, and difficulty in achieving stability early warning and reliable operation.

Method used

By constructing a unified feature matrix of time-scale dynamic characteristics and integrating multi-time-scale dynamic information of electrical and hydrogen energy subsystems, a collaborative optimization control strategy is generated, including multi-scale time-frequency decomposition, cross-domain coupling coefficient calculation, topology data analysis, and nonlinear mapping, to achieve forward-looking prediction and collaborative regulation of instability risk.

Benefits of technology

It improves the accuracy of state perception and early warning capabilities for microgrid stability, ensures system security and reliability, avoids control conflicts and resource waste, and enhances autonomous operation and dynamic adjustment capabilities.

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Abstract

The present application belongs to the technical field of microgrid stability analysis, and particularly relates to a stability analysis and early warning method for a building hydrogen-electricity coupling direct current microgrid, which comprises the following steps: obtaining electromagnetic transient state variables of an electrical subsystem in the direct current microgrid and electrochemical reaction state variables of a hydrogen energy subsystem, and constructing a unified feature matrix of time scale dynamic characteristics; extracting stability features, projecting the stability features to a low-dimensional space through nonlinear mapping, forming a representation fingerprint, and calculating an instantaneous stability margin under a current state; performing time sequence deduction, calculating a stability evolution trajectory within a future time window, and generating a predicted offset vector of an offset direction and amplitude; when the predicted offset vector exceeds the instantaneous stability margin, taking minimization of the predicted offset vector as an optimization objective, and generating a collaborative control strategy for collaborative regulation of a hydrogen energy subsystem operating point and an electrical subsystem operating point. The present application can realize perception and early warning of instability risks, and guarantee stable and reliable operation of the microgrid.
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