An intelligent monitoring and cloud analysis system for power quality of a wind-solar power storage station

By using non-intrusive multi-source data correlation analysis and impedance estimation, the problem of difficulty in quantifying harmonic responsibility in wind, solar and energy storage power stations has been solved, enabling accurate power quality analysis and management, reducing operation and maintenance costs, and improving the scientificity and efficiency of power grid planning.

CN122437228APending Publication Date: 2026-07-21THREE GORGES NEW ENERGY SIZIWANG BANNER CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
THREE GORGES NEW ENERGY SIZIWANG BANNER CO LTD
Filing Date
2026-03-26
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies cannot effectively distinguish the harmonic responsibility of equipment in wind, solar and energy storage power stations from that of the grid side, resulting in a lack of quantitative data support for governance. Furthermore, existing solutions have safety risks or large calculation errors, making them difficult to adapt to the complex operating scenarios of wind, solar and energy storage power stations.

Method used

A non-intrusive multi-source data correlation analysis and impedance estimation method is adopted. Through unified data acquisition and edge computing, combined with a cloud-based intelligent diagnostic engine, harmonic responsibility quantification and source tracing are realized. Impedance estimation is performed using station operation data to generate accurate power quality analysis reports.

Benefits of technology

It has enabled precise quantification of harmonic responsibility within wind, solar, and energy storage power stations, reduced operation and maintenance costs, improved the scientific nature and efficiency of governance, reduced interference with the power grid, and supported the planning and governance of regional power grids.

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Abstract

The application provides a wind-solar-storage power station electric energy quality intelligent monitoring and cloud analysis system, and belongs to the technical field of electric energy quality monitoring and analysis. The system adopts a two-layer architecture of "edge collection + cloud analysis", a multi-protocol adapter is built in a unified data collection gateway on the station side, and heterogeneous device data is converted into a unified data model; a cloud intelligent diagnosis engine calculates the responsibility proportion of each harmonic voltage of a public connection point of the station through a non-intrusive algorithm, realizes harmonic responsibility quantization and traceability; an automatic report generation engine automatically generates a professional report according to the diagnosis result; and a case self-learning module constructs a knowledge base, realizes experience intelligent matching and reuse. The application solves the problem that the harmonic responsibility of the wind-solar-storage power station is difficult to quantify and distinguish, and realizes the intelligentization, automation and regional cluster management of electric energy quality monitoring.
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