Energy storage load multi-stage frequency modulation method and system based on soc dynamic partitioning

CN122118786AActive Publication Date: 2026-05-29NR ELECTRIC CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NR ELECTRIC CO LTD
Filing Date
2026-04-09
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, the SOC zoning strategy of energy storage systems is a fixed value, which is difficult to match the time-varying characteristics of grid frequency fluctuations. This leads to a mismatch between the available energy storage capacity and frequency regulation requirements, and the oscillation of the SOC zoning boundary causes unstable frequency regulation control, affecting battery life.

Method used

By dynamically adjusting the SOC partition boundary based on the characteristics of grid frequency fluctuations and monitoring the stability of the state of charge in real time, configuring safety, early warning and protection zones, and combining grid frequency deviation and state of charge change trajectory, stable frequency regulation commands are generated.

Benefits of technology

It achieves dynamic matching between the energy storage system and the grid frequency regulation demand, improves the stability of frequency regulation control and battery life, avoids battery overcharging and over-discharging, and optimizes the utilization efficiency of energy storage resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application belongs to the technical field of frequency modulation management, and specifically discloses a multi-stage frequency modulation method and system for energy storage load based on SOC dynamic partitioning. The method divides historical power grid frequency data according to hourly granularity, merges time periods according to the similarity of statistical characteristics of adjacent hours, and differentially configures the SOC sub-domain boundary for different time periods, thereby realizing dynamic matching of energy storage control and power grid frequency modulation demand, enabling the SOC partition to dynamically perceive the fluctuation intensity of the power grid frequency, solving the adaptability problem of insufficient adjustment capacity or excessive response of the fixed partition strategy. At the same time, the current battery state of charge value is obtained in real time, and the stability of the change trajectory thereof within a unit time is monitored. When the state of charge is unstable, the current state of charge value is filtered, and the high-confidence state of charge after filtering is used to determine the sub-domain, thereby ensuring the robustness of the sub-domain determination logic and making the issued frequency modulation instruction smoother and more continuous.
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