A method, device, equipment and medium for scheduling an electrically driven steam system

By employing a closed-loop scheduling system with dual-channel time-series prediction and intelligent optimization models in the electric-driven steam system, the dynamic mismatch between the volatility of photovoltaic power generation and the rigid demand of steam load was solved, achieving stable system operation and efficiency improvement.

CN122394080APending Publication Date: 2026-07-14HUBEI CHINA TOBACCO INDUSTRY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUBEI CHINA TOBACCO INDUSTRY CO LTD
Filing Date
2026-03-25
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve stable operation of industrial steam systems under highly volatile photovoltaic power generation conditions, leading to frequent equipment start-ups and shutdowns and poor economic efficiency.

Method used

A closed-loop intelligent scheduling system based on a target dual-channel time-series prediction model and an intelligent optimization model is adopted. By acquiring the target operating status data sequence, the system predicts the photovoltaic power and steam load demand, generates a dynamic scheduling strategy, and achieves multi-objective collaborative optimization.

Benefits of technology

Under highly fluctuating photovoltaic power supply conditions, stable operation of the electric-driven steam system was achieved, improving work efficiency and reducing equipment wear and operating costs.

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Abstract

The application discloses a kind of scheduling method, device, equipment and medium of electrically-driven steam system.The method comprises: obtaining the target operating state data sequence corresponding to target electrically-driven steam system;Based on target double-channel time series prediction model, data prediction is carried out on target operating state data sequence, and the predicted photovoltaic power and predicted steam load demand corresponding to target electrically-driven steam system are obtained;Based on target intelligent optimization model, strategy construction is carried out on predicted photovoltaic power and predicted steam load demand, and the target scheduling strategy corresponding to target electrically-driven steam system is generated.Through the technical scheme of the application, electrically-driven steam system can still work stably under high fluctuation photovoltaic power supply conditions, and the working efficiency of electrically-driven steam system is improved.
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