Method and device for dynamic use of power data asset value based on multi-scene coupling

By constructing a dynamic utilization method for the value of power data assets coupled across multiple scenarios, and combining it with an adaptively improved whale optimization algorithm, the limitations of value assessment and algorithm efficiency issues of power data assets in multiple scenarios are solved, thereby maximizing the value and robustness of power data assets in complex scenarios.

CN122175189APending Publication Date: 2026-06-09EAST CHINA BRANCH OF STATE GRID CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
EAST CHINA BRANCH OF STATE GRID CORP
Filing Date
2026-01-23
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies for evaluating the value of power data assets suffer from limitations such as single-scenario value assessment, lack of scenario coupling mechanisms, insufficient handling of uncertainties, and low efficiency of solution algorithms. These issues prevent power data assets from achieving multi-scenario collaborative application and maximizing their value.

Method used

A dynamic utilization method for the value of power data assets based on multi-scenario coupling is constructed. This method involves building a two-layer dynamic value assessment model that integrates multi-scenario value linkage, data spatiotemporal coupling, and data quality constraints. An adaptive improved whale optimization algorithm is then used to solve the model, thereby achieving optimal utilization of power data assets in multi-scenario environments.

Benefits of technology

It maximizes the value of power data assets under multi-scenario coupling, improves the efficiency of value mining and application benefits of data assets in complex scenario environments, and enhances robustness to demand fluctuations and data quality uncertainties in multiple scenarios.

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Abstract

The application belongs to the technical field of data product operation and power data asset optimization, and discloses a power data asset value dynamic application method and device based on multi-scene coupling, which comprises the following steps: constructing the interaction relationship between power generation data assets, power consumption data assets, power grid data assets and multiple application scenes, and constructing system operation core constraint conditions; quantifying the value linkage relationship between different application scenes and the adaptability of various data assets to each application scene; taking the maximization of comprehensive value as an objective function, fusing multi-scene benefits, costs and data constraints, and forming a high-dimensional nonlinear optimization problem; designing a solution method based on an adaptive improved whale optimization algorithm to output an optimal value application strategy under the premise of meeting real-time requirements. The application realizes the optimal value application and maximum benefit of power data assets in a multi-scene environment.
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