Refined Simulation Calculation Method for Carbon Emissions in Regional Power Systems

By collecting data from the regional power system, combining GIS and distributed storage technologies, constructing a neural network model and using the random forest algorithm for correction, a full-cycle, multi-dimensional, and detailed accounting of carbon emissions from the regional power system was achieved. This solved the problem of large errors in the accounting results of traditional methods and improved the accuracy of carbon emission positioning and the intelligence of data support.

CN121168285BActive Publication Date: 2026-01-30MARKETING SERVICE CENT OF STATE GRID GANSU ELECTRIC POWER CO
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Patent Information

Application Number
CN202511706269.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-20
Publication Date
2026-01-30
Estimated Expiration
2045-11-20

AI Technical Summary

Technical Problem

Traditional methods for calculating carbon emissions in regional power systems rely on macroeconomic statistics and do not fully consider various carbon emission factors, resulting in large errors in the calculation results. This makes it difficult to meet the needs of refined emission reduction decisions. Furthermore, existing simulation tools have weak carbon emission calculation functions and cannot accurately locate key carbon emission nodes, which restricts the pertinence and effectiveness of emission reduction measures.

Method used

By collecting regional power system data and combining it with GIS technology to determine the carbon emission accounting boundary, using distributed storage technology to partition and store the data, and combining it with neural network algorithms to build a simulation calculation model, the model is corrected by integrating environmental data and random forest algorithms to output refined accounting simulation data.

Benefits of technology

It enables detailed, multi-dimensional accounting of carbon emissions from regional power systems throughout their entire lifecycle, improving accounting accuracy and intelligence. It can accurately locate key carbon emission nodes, provide clear carbon emission data support, and solve the problems of large errors and difficult location in traditional methods.

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Abstract

This invention discloses a method for refined simulation calculation of carbon emissions from regional power systems, belonging to the field of simulation calculation technology. The method includes the following steps: collecting regional power system data; initially calculating carbon emissions from the generation side, grid side, and user side; determining the carbon emission accounting boundary of the regional power system based on regional geographic information data; obtaining distributed storage data using distributed storage technology; extracting features from the topological data to obtain regional topological feature data; constructing a simulation calculation model by combining the distributed storage data with a neural network algorithm; outputting refined simulation data for carbon emissions from the regional power system; and correcting the refined simulation data by integrating environmental data and a random forest algorithm, finally outputting the corrected refined simulation data for carbon emissions from the regional power system. This invention achieves refined simulation calculation of carbon emissions from regional power systems throughout their entire lifecycle and across multiple dimensions.
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