Electric heating comprehensive energy system unit combination method based on interior point bender decomposition

By constructing a mixed-integer linear programming model and using the characteristic line method to analyze the partial differential equation of temperature conduction in the pipeline, and combining the interior-point Bends decomposition algorithm to optimize the unit combination of the integrated electric-thermal energy system, the unit combination optimization problem was solved, the system's operating efficiency and reliability were improved, and the cost was reduced.

CN121563167AActive Publication Date: 2026-02-24SOUTH CHINA UNIV OF TECH
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Patent Information

Application Number
CN202610097153.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-23
Publication Date
2026-02-24
Estimated Expiration
2046-01-23

AI Technical Summary

Technical Problem

The optimization of unit combination in existing integrated electric-thermal energy systems has failed to effectively address the system's cost-effectiveness and environmental impact, resulting in low operating efficiency and insufficient reliability.

Method used

A mixed-integer linear programming model is constructed using an interior-point Bendez decomposition method. The partial differential equation of temperature conduction in the pipeline is analyzed by combining the method of characteristics to optimize the unit combination. The solution efficiency is improved by modifying the Bendez decomposition algorithm using the interior-point method.

Benefits of technology

It has enabled the efficient operation of the integrated electric-thermal energy system, reduced operating costs, improved the system's economic efficiency and environmental friendliness, and ensured the stability and flexibility of the power and heat network.

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Abstract

The invention relates to the technical field of optimal scheduling of an integrated energy system, and discloses an electric heating integrated energy system unit combination method based on interior point Benders decomposition. The method comprises the following steps: firstly, constructing a mixed integer linear programming model, determining decision variables such as power unit start-stop / scheduling, thermodynamic system output and heat supply network temperature, aiming at minimizing the total operation cost of the system, integrating multiple constraint conditions, analyzing a pipeline temperature conduction partial differential equation by adopting a characteristic line method, and improving the temperature dynamic description accuracy; and the model is solved through an improved Benders decomposition algorithm combined with an interior point method, and parallel solving of the main problem and the sub-problems is achieved. Through IEEE standard system simulation verification, the method can realize electric-thermal system collaborative optimization scheduling, adapts to wind power uncertainty, guarantees system stability, reduces operation cost, and improves energy utilization efficiency.
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