Cross-day two-stage random scheduling method for industrial park integrated energy system

By employing a two-stage stochastic scheduling method across days, the characteristics of renewable energy output fluctuations were fitted, an uncertainty scenario set was constructed, and power purchase, sales, and energy storage strategies were optimized. This solved the problem of renewable energy consumption and achieved the optimization of the economic efficiency and low-carbon nature of the integrated energy system in the industrial park.

CN121599341APending Publication Date: 2026-03-03TSINGHUA UNIVERSITY +2
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Patent Information

Application Number
CN202511637941.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-10
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Existing integrated energy system dispatching methods in industrial parks have failed to effectively address the uncertainties of fluctuations in renewable energy output and electricity prices, resulting in renewable energy not being able to be consumed locally, causing power curtailment losses and issues of economic viability and stability.

Method used

A cross-day two-stage stochastic scheduling method is adopted. By fitting the fluctuation characteristics of new energy output through historical data, an uncertainty scenario set is constructed, a two-stage stochastic programming model is established, the power purchase and sale capacity and the charging and discharging strategy of energy storage equipment are optimized, and rolling optimization and adjustment are carried out.

Benefits of technology

It has improved the capacity for renewable energy consumption, reduced operating costs, achieved synergistic optimization of economic efficiency and low carbon emissions, and enhanced the system's flexibility and stability in the spot market environment.

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Abstract

The invention provides a cross-day two-stage random scheduling method for an industrial park integrated energy system, and the method comprises the steps: fitting the output fluctuation characteristics of new energy power generation equipment in a cross-day time scale based on historical data, and constructing an uncertainty scene set containing a new energy prediction error; establishing a cross-day two-stage stochastic programming model; according to the two-stage model, an optimal scheduling scheme is solved so as to minimize the overall operation cost, and the operation cost comprises the demand electric charge, the electricity purchase electric charge, the new energy power abandoning cost, the unit start-stop cost and the standby penalty cost; and on the basis of tie line power constraint and dynamic response characteristics of the multi-energy coupling equipment, feasibility verification and rolling optimization adjustment are performed on the scheduling scheme. According to the method, the new energy consumption capability of the industrial park integrated energy system under the cross-day time scale can be effectively improved, the total operation cost is reduced, and collaborative scheduling of demand cost optimization and spot market participation is realized.
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