Power system dispatching optimization operation method and system considering source-load interaction

By constructing a source-load interaction model for carbon responsibility sharing and optimizing the power market model, the source-load interaction problem in the power system is solved, the optimization of power system scheduling and carbon emission reduction are achieved, and the coordinated development of the electricity-carbon-green certificate market is promoted.

CN119651773AActive Publication Date: 2025-03-18GUANGDONG POWER GRID CO LTD
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Patent Information

Application Number
CN202411717327.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-03-18
Estimated Expiration
2044-11-27

AI Technical Summary

Technical Problem

In complex power systems, it is difficult for the existing technology to effectively consider source-to-load interaction, resulting in high scheduling costs of power systems, large carbon emissions, and repeated measurement of green power environmental value, affecting the coordinated development of the market.

Method used

By constructing a source-load interactive model for carbon responsibility sharing, the electrical energy quotation of thermal power generator sets is optimized, and the power purchase optimization model of the load-side power user and the output optimization model of the source-side generator set are constructed. The bidding behavior of the electric-carbon-green certificate multiple markets is considered to achieve coordination and optimization between source-loads.

Benefits of technology

It reduces the operating costs and carbon emissions of the power system, optimizes the dispatch of new power systems, and realizes effective connection of green power environmental value and coordinated market development.

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Abstract

The invention relates to an electric power system dispatching optimization operation method and system considering source-load interaction, belongs to the technical field of electric power, and solves the problems that the power generation amount of an existing electric power system does not consider the complex conditions of two-stage electric power, green evidence and carbon market and the like. The method comprises the following steps: constructing a carbon responsibility allocation source-load interaction model based on output, carbon emission and carbon emission quota of each energy unit; constructing a load-side power consumer electricity purchase optimization model, constructing a load-side power consumer electricity purchase cost model and a first constraint condition, and constructing an inter-provincial market electric energy cost model and a second constraint condition; constructing a source side generator set output optimization model; performing conversion processing on the models to predict clearing results of the thermal power generator set and the green power generator set; and scheduling and optimizing the generating capacity of the thermal power generator set and the green power generator set according to the predicted clearing results of the thermal power generator set and the green power generator set. And scheduling and optimizing the generating capacity of the power system by considering two-stage power, green evidence and carbon markets.
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