A power dispatch situation early warning method based on operation intention constraint

By constructing an operational intent constraint model and combining it with spatiotemporal consistency analysis, the insufficient identification of multi-period progressive risks in the power dispatching system was solved, achieving a high-sensitivity, low-false-alarm-rate early warning effect and enhancing the auxiliary value of dispatching decisions.

CN122134065APending Publication Date: 2026-06-02NANJING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF SCI & TECH
Filing Date
2026-05-06
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing power dispatching systems cannot effectively identify progressive risks over multiple cycles, resulting in high false alarm rates, delayed or missed warnings. The lack of dynamic models as a benchmark makes it impossible to distinguish between normal coordinated adjustments and harmful drift.

Method used

A model constraining operational intent is constructed, and a reasonable range of state changes is learned from historical compliant scheduling behaviors through a data-driven approach. Combined with spatiotemporal consistency analysis and model boundary comparison, a comprehensive early warning criterion is generated, and situational early warning information is synthesized.

Benefits of technology

It has achieved highly sensitive and low false alarm rate identification of hidden and progressive risks, improved the objectivity and accuracy of early warning, and enhanced the auxiliary value of early warning information for dispatching decisions.

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Abstract

This invention proposes a power dispatching situation early warning method based on operational intent constraints. An operational intent constraint model is constructed as a dynamic early warning benchmark. The model analyzes in real time the temporal directional consistency and spatial multivariate synergy of system state changes within a continuous dispatching cycle, comparing this to the model's boundaries to calculate a comprehensive consistency deviation index. When the index indicates that the operational situation continuously deviates from the compliance range, a restricted situation evolution prediction is triggered. Within the reasonable change space defined by the operational intent constraint model, future dispatching paths are generated and their risks are assessed. Situational early warning information is synthesized to generate interpretable early warning information that includes risk location, severity assessment, and evolution prediction. This invention performs restricted evolution prediction within constraints, enabling early warning results to indicate current risks, greatly enhancing the auxiliary value and engineering operability of early warning information for dispatching decisions.
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