An edge-computing-based photovoltaic storage cooperative adaptive regulation method and system

By optimizing the path tracking and state transition coding of the power perturbation sequence in the photovoltaic-storage collaborative system, and combining weight reconstruction and command gradient monitoring, the problems of low regulation efficiency and insufficient stability in the existing technology are solved, and high-precision adaptive regulation effect is achieved.

CN122437097APending Publication Date: 2026-07-21STATE GRID JIANGXI COMPREHENSIVE ENERGY SERVICE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID JIANGXI COMPREHENSIVE ENERGY SERVICE CO LTD
Filing Date
2026-05-06
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies lack a weight reconstruction mechanism for each dimension of the control vector in photovoltaic-storage coordinated regulation, resulting in low regulation efficiency and limited system stability, making it difficult to meet the requirements of high-precision adaptive regulation.

Method used

By acquiring the real-time power perturbation sequence at the edge, setting multi-level power perturbation threshold ranges, performing point-by-point comparisons and weight reconstruction, optimizing the power allocation decision-making process, monitoring the command gradient sign reversal frequency, suppressing frequent control path oscillations, and generating an adaptive power regulation execution list.

Benefits of technology

It improves the accuracy of identifying sudden power fluctuations, optimizes the matching of sub-unit response and dynamic characteristics, reduces energy storage unit losses, and enhances the continuity of the control process and system stability.

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Abstract

The application relates to the technical field of light storage coordination regulation, in particular to a light storage coordination adaptive regulation method and system based on edge computing, which comprises the following steps: generating edge state embedded coding based on multi-stage power disturbance threshold matching and transfer path tracking; screening key dimensions to perform weight reconstruction and generate a dominant weight distribution sequence; performing product operation and compensation correction in combination with power regulation requirements to obtain a power distribution mapping result; statistically counting instruction gradient inversion frequency and performing suppression processing to output stable constraint instructions; and finally performing cross-checking in combination with equipment margins to generate a regulation list. The application can realize power trajectory level expression, solve the problems of frequent control path swing and insufficient recognition accuracy by strengthening high contribution degree dimensions and automatically restraining oscillation trends, reduce energy storage loss, and significantly improve the regulation accuracy and operation stability of the light storage system.
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