A method and system for dynamic scheduling of charging pile power
By performing Kalman filtering noise reduction and proportional-integral-derivative control on the charging pile load, and optimizing the charging pile power scheduling in combination with the total load limit of the distribution area, the problems of inaccurate load data processing and insufficient scheduling stability in the existing technology are solved, and more accurate load trend identification and stability control are achieved.
CN122159248APending Publication Date: 2026-06-05ZHEJIANG XINSHAN NEW ENERGY TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG XINSHAN NEW ENERGY TECH CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-06-05
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Figure CN122159248A_ABST
Abstract
The application relates to the technical field of power load regulation, and discloses a method and system for dynamic scheduling of charging pile power. The method comprises the following steps: obtaining a real-time data sequence containing a basic load and a charging pile load, and obtaining a load fluctuation trend after denoising by using a Kalman filtering algorithm; calculating an instantaneous change rate of the basic load, and determining a power offset amount that needs to be compensated on the charging pile side when the instantaneous change rate exceeds a preset change threshold; inputting the power offset amount into a proportional-integral-derivative control algorithm to generate a preliminary power scheduling instruction for each charging pile; verifying and amplitude correcting the preliminary power scheduling instruction in combination with an upper limit of a total load of a transformer area to obtain an optimized power scheduling instruction; controlling each charging pile to adjust output power, generating a scheduled total load curve and performing stability verification; and when a verification result does not satisfy a preset safety threshold, updating Kalman filtering algorithm parameters and using the updated Kalman filtering algorithm parameters for subsequent real-time data processing. The method can improve the real-time performance, stability and safety of transformer area load regulation.
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