Method and system for evaluating flexible resource adjustment capability based on tag and risk analysis

By constructing a multi-state finite automaton model and multi-dimensional value label clustering, a multi-dimensional capability envelope and a system-level capability map are generated. This solves the problems of inconsistent descriptions of heterogeneous resources and neglect of dynamic characteristics in load-side flexibility resource assessment, realizes dynamic quantification of flexible resources and risk avoidance, and improves the efficiency of power grid dispatching decisions.

CN122022497BActive Publication Date: 2026-07-21STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
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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
2026-04-13
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing methods for assessing load-side flexibility resources fail to uniformly describe heterogeneous resources, ignore dynamic characteristics, and do not fully consider uncertainty risks, resulting in overly optimistic assessment results that cannot support real-time power system dispatch and lack effective visualization.

Method used

A multi-state finite automaton model is constructed to generate a multi-dimensional capability envelope. A virtual aggregate is constructed based on multi-dimensional value label clustering, robust quantization is performed, and spatiotemporal visualization is carried out to generate a system-level capability map.

Benefits of technology

It enables precise capture and multi-dimensional quantification of the dynamic characteristics of load-side flexibility resources, avoids scheduling risks, improves scheduling decision-making efficiency, and provides reliable support for precise power grid scheduling.

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Abstract

The application discloses a flexible resource regulation capacity evaluation method and system based on a label and risk analysis, and relates to the technical field of power system demand side management. The method comprises the following steps: acquiring real-time operation parameters of a load side flexibility resource, generating a multi-dimensional capacity envelope line of an individual resource based on a multi-state finite automaton model; constructing a multi-dimensional value label, clustering and grouping the flexibility resource in combination with the multi-dimensional capacity envelope line, and constructing a virtual aggregate; adopting an opportunity constraint robust aggregation method to quantize the aggregated regulation capacity of the virtual aggregate, generating a multi-dimensional vector; and fusing the multi-dimensional vector with geographic information, realizing visualization through a heat map and an interactive interface, and generating a system-level capacity atlas. The application realizes full-dimensional capacity evaluation of the flexibility resource from an individual to an aggregate, takes into account value attributes and operation risks, and provides intuitive and reliable decision support for power grid dispatching.
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