Day-day two-stage optimization scheduling method and system for RSOC integrated energy system

By adopting the two-stage optimization scheduling method in the RSOC comprehensive energy system, a multi-model joint optimization scheduling model is established, the equipment operation status is optimized and rolling adjustment is carried out, the problems of increasing clean energy penetration rate and complexity of demand response in the comprehensive energy system are solved, and the system is stable operation, cost reduction and control accuracy are improved.

CN119647857AActive Publication Date: 2025-03-18SOUTHWEST PETROLEUM UNIV
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Patent Information

Application Number
CN202411710439.3
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

The increased penetration rate of clean energy and the flexibility of demand response in the integrated energy system have led to complex and changeable system operation. Traditional optimization scheduling has not been able to meet the basic requirements for stable operation of the system, and the supply and demand imbalance is significant.

Method used

The two-stage optimization scheduling method of the RSOC comprehensive energy system is adopted. By establishing the RSOC variable operating condition operation model, the cogeneration model and the multi-load demand response model, the two-stage optimization scheduling model of the day-day optimization scheduling model is jointly established to optimize the equipment operation status and rolling adjustments to achieve the optimal scheduling operation plan.

Benefits of technology

While ensuring the stable and reliable operation of the system, the system operation cost is reduced, the optimization control accuracy is improved, the source-load volatility is alleviated, and the system flexibility and supply and demand balance capability are enhanced.

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Abstract

The invention discloses a day-ahead-day two-stage optimization scheduling method and system for an RSOC integrated energy system. The method comprises the steps that the RSOC integrated energy system is established based on running characteristics of the RSOC; respectively establishing an RSOC variable working condition operation model, a combined heat and power generation model and a multi-element load demand response model based on the RSOC comprehensive energy system; based on the RSOC variable working condition operation model, the combined heat and power generation model and the multi-element load demand response model, jointly establishing a day-ahead-intra-day two-stage optimization scheduling model; optimizing the day-ahead-intra-day two-stage optimization scheduling model based on a day-ahead plan scheduling target and a day-ahead constraint condition to obtain optimal operation state data of system equipment; and based on the optimal operation state data, the intra-day rolling optimization target and the intra-day constraint condition, performing rolling adjustment on the day-ahead-intra-day two-stage optimization scheduling model to obtain an optimal scheduling operation scheme. Under the condition of ensuring stable and reliable operation of the comprehensive energy system, the operation cost of the system is reduced, and the optimization control precision of the system is improved.
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