Distributed resource flexible deviation control method and device based on deviation band, computer equipment, readable storage medium and program product

By receiving load forecast data and basic deviation bands from the power consumption end, calculating dynamic deviation factors, and adjusting the load status of the power consumption end, the high cost problem faced by aggregators when dealing with load deviations of distributed resources is solved, and efficient flexible deviation control and stable power resource dispatch are achieved.

CN122418751APending Publication Date: 2026-07-17SHENZHEN POWER SUPPLY BUREAU
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Patent Information

Application Number
CN202610596921.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, aggregators cannot effectively distinguish the direction and value of load deviations when facing distributed resource load deviations, resulting in excessively high power balancing costs. Furthermore, existing risk-sharing mechanisms cannot adapt to load fluctuations and lack flexible control measures.

Method used

By receiving load forecast data and basic deviation band from the power user, the total load forecast data is calculated, the dynamic deviation factor is determined, and the data is sent to the power user to adjust the dynamic deviation band, adapt to load fluctuation characteristics, and achieve flexible control.

Benefits of technology

It improves the efficiency of load deviation response and regulation, reduces the probability of load deviation exceeding the control range, and enhances the accuracy of power resource dispatch and allocation and the stability of distributed resource aggregation.

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Abstract

The invention relates to a distributed resource flexible deviation control method and device based on a deviation band, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving load prediction data reported by a plurality of power utilization ends and a basic deviation band selected by each power utilization end in the plurality of power utilization ends; calculating to obtain total load prediction data according to the load prediction data reported by the plurality of power utilization terminals, and submitting the total load prediction data to a first resource interaction platform; obtaining first real-time load data of a plurality of power utilization ends, calculating to obtain first total real-time load data, and determining a dynamic deviation factor according to a deviation between the first total real-time load data and the total load prediction data; and issuing the dynamic deviation factors to the plurality of power utilization ends, so that the plurality of power utilization ends adjust own loads based on the respective corresponding basic deviation bands and the dynamic deviation factors. By adopting the method, the resource transfer accuracy can be improved, and resource waste is reduced.
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