Power generation facility output characteristic evaluation method and system based on space-time distribution map

CN121097799BActive Publication Date: 2026-05-29STATE GRID JIBEI ELECTRIC POWER COMPANY +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID JIBEI ELECTRIC POWER COMPANY
Filing Date
2025-07-21
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies cannot effectively evaluate distributed generation equipment in both time and space dimensions, resulting in a one-sided and lagging evaluation of output characteristics.

Method used

By interactively acquiring historical dynamic data and static spatial data of distributed generation equipment, performing time-series alignment and multi-granularity segmentation, constructing a basic layer of equipment distribution, performing single-dimensional quantification and time-series correlation of equipment output characteristics, mining the temporal dynamic patterns and spatial distribution patterns of output characteristics, and combining time and space weighted analysis, outputting the spatiotemporal output characteristics of distributed equipment.

Benefits of technology

It enables comprehensive evaluation of distributed generation equipment, improves the comprehensiveness and timeliness of output characteristic evaluation, dynamically displays the output characteristics of the equipment, and supports optimized scheduling and decision-making.

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Abstract

The application relates to the technical field of distributed power generation, and provides a power generation equipment output characteristic evaluation method and system based on a space-time distribution diagram. The method comprises the following steps: obtaining historical dynamic data and static spatial data of distributed power generation equipment interactively; after time sequence alignment of the dynamic data, multi-granularity data segmentation is performed to obtain subdivided-granularity dynamic time data of a plurality of power generation equipments; one-dimensional quantification of the dynamic time data is performed to output subdivided-granularity quantification values; a device distribution diagram layer is constructed based on the static spatial data, the subdivided-granularity quantification values are time sequence correlated to the layer, and a time sequence multi-granularity output characteristic layer is obtained; two-dimensional rule mining is performed based on the layer to obtain time dynamic rules and spatial distribution rules; and space-time weighted rules are output to obtain the space-time output characteristics of the distributed equipment, so that the technical problem of one-sided and lagging output characteristic evaluation is solved, and the technical effect of improving the comprehensiveness and timeliness of output characteristic quantification evaluation is achieved.
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