Carbon emission flow calculation method and system of power system

Through multimodal data fusion and dynamic graph construction technology, combined with intelligent algorithms and multi-level feedback adjustment, dynamic allocation optimization and adaptive adjustment of carbon emission flow in the power system are achieved, solving the problem of limited optimization and improvement capabilities of the existing technology under dynamic load conditions, and improving the dynamic adaptability of the system and the scientific nature of carbon emission management.

CN119692702APending Publication Date: 2025-03-25STATE GRID JIANGSU ELECTRIC POWER CO LTD CHANGZHOU BRANCH
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Patent Information

Application Number
CN202411791753.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-06
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The existing carbon emission flow calculation methods of power system are difficult to quickly respond to and adjust the distribution of carbon emission flow under dynamic load conditions, resulting in limited optimization and improvement capabilities.

Method used

Through the fusion of multimodal data and dynamic graph construction technology, combined with intelligent algorithms, dynamic allocation optimization and adaptive adjustment of carbon emission flow in the power system are realized. Specific steps include collecting multimodal data, generating dynamic adjacency matrix with feature fusion, using adaptive genetic algorithms and multiagent reinforcement learning for allocation optimization, combining regional and global feedback mechanisms to dynamically adjust carbon emission flow intensity, generating carbon emission flow density data through graph neural networks and optimizing transmission paths, and using multi-level trend prediction and adaptive fuzzy control for feedback adjustment.

Benefits of technology

The dynamic response and load balancing of carbon emission flow in the power system are achieved, the system's adaptability under dynamic changing conditions is improved, and the scientificity and accuracy of carbon emission management are ensured.

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Abstract

The invention discloses a carbon emission flow calculation method and system especially for an electric power system, and belongs to the technical field of carbon emission of the electric power system. The method comprises the steps of multi-modal data acquisition and fusion, dynamic graph construction, carbon flow distribution optimization based on combination of an adaptive genetic algorithm and reinforcement learning, carbon flow density analysis based on a graph neural network, carbon flow trend prediction based on a deep enhanced memory network, carbon emission flow feedback adjustment and carbon emission flow distribution. Through multi-level feedback control and path optimization, dynamic balance and adaptive distribution of the carbon emission flow of the electric power system are realized, the response efficiency of carbon flow distribution in the electric power system is improved, the stability and rationality of the carbon flow load under different conditions are guaranteed, and the adaptive capacity of dynamic change of the electric power system is improved.
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