Panoramic theory-based power grid resource aggregation method and device, and storage medium
CN119378888AActive Publication Date: 2025-01-28GUANGDONG POWER GRID CO LTD +1
Patent Information
- Application Number
- CN202411478884.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-22
- Publication Date
- 2025-01-28
- Estimated Expiration
- 2044-10-22
AI Technical Summary
Technical Problem
The prior art is directly used for all controllable resources, ignoring the differences between different resources, resulting in long response time and poor aggregation effect.
Method used
The power grid resource aggregation method based on the panoramic theory is adopted, and the resource cluster division and scheduling potential are used to obtain the operation data and group indicators of various resource equipment and set up a group of resource clusters to optimize resource aggregation.
Benefits of technology
The response speed and aggregation effect of power grid resources has been improved, and the more efficient and economic utilization of resources is achieved.
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Figure CN119378888A_ABST
Abstract
The invention provides a power grid resource aggregation method and device based on a panorama theory and a storage medium. The method comprises the following steps: acquiring operation data of various resource devices in a power grid and grouping indexes corresponding to the various resource devices; clustering division is carried out on the resource devices of the corresponding types by applying the clustering indexes corresponding to the various resource devices to obtain a plurality of resource clusters, and resource information of each resource cluster is obtained; quantizing the scheduling potential of the corresponding resource cluster by adopting the resource information to obtain a scheduling potential value; and establishing a matching degree model of the power grid by adopting a panoramic theory, inputting different scheduling potential values into the matching degree model for operation to obtain a matching degree between every two resource clusters, and performing aggregation processing on the resource clusters according to the matching degrees to obtain a plurality of aggregation clusters. According to the method, the problems of long response time and poor aggregation effect caused by neglecting differences among different resources when the method is directly used for all controllable resources in the prior art are solved.
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Citation Information
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