A new energy source load storage collaborative prediction and dispatching system and method

CN122931982APending Publication Date: 2026-10-16CHINA TOWER CO LTD YANCHENG BRANCH
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Patent Information

Application Number
CN202610777798.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-01
Publication Date
2026-10-16

AI Technical Summary

Technical Problem

[0005]本发明的目的在于提供一种新能源源荷储协同预测与调度系统及方法，以解决现有源荷储协同调度中新能源发电设备状态变化与可发能力刻画不足、调度场景与实际运行条件匹配度不高，以及柔性负荷响应、储能运行和风险调度之间联动不足的问题

Benefits of technology

[0069]The beneficial effects of this invention are as follows: By introducing equipment state constraint correction processing during the coordinated scheduling of new energy sources, loads, and storage, this invention uses new energy forecast data, equipment state data, and capacity mapping data together to characterize the renewable energy generation capacity. This allows the distribution of renewable energy generation power to reflect the available capacity status and state risk of renewable energy power generation equipment during the scheduling cycle. Compared to methods that construct scheduling inputs solely based on conventional forecast results, this invention can reduce the deviation between the scheduling scenario and the actual renewable energy generation capacity of the equipment, providing a more suitable source-side uncertainty input for subsequent coordinated scheduling of sources, loads, and storage.

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Abstract

The application discloses a new energy source-load-storage collaborative prediction and dispatching system and method, and relates to the technical field of new energy power dispatching.The system forms a dispatching input data set through a data acquisition module, determines an effective available power upper limit based on new energy prediction data, equipment state data and capacity mapping data through an equipment state constraint correction module, and performs state constraint correction on a theoretical available power distribution; a scene construction module constructs a representative scene and a scene probability based on the corrected new energy available power distribution, price uncertainty data and load deviation uncertainty data; and a risk dispatching module solves a dispatching strategy in combination with a flexible load response amount, energy storage charging and discharging power, contract declaration execution power and a conditional risk value item.The application can improve the matching of dispatching scenes and actual operation states of equipment, and enhance the executability and risk adaptability of a new energy source-load-storage collaborative dispatching strategy.
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