VSG-based energy storage power station adaptive inertial support control method, system, equipment and medium

By dynamically optimizing inertial and damping parameters and combining them with the status of the power grid and energy storage batteries, the problems of inertial support incompatibility and battery safety in the VSG control method are solved, achieving precise regulation of the power grid frequency and protection of the battery.

CN122052035APending Publication Date: 2026-05-15이너 몽골리아 일렉트릭 파워 그룹 컴퍼니 리미티드 이너 몽골리아 일렉트릭 파워 리서치 인스티튜트 브랜치
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Patent Information

Application Number
CN202610227755.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-26
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

In existing VSG control methods, the inertial parameters are fixed and cannot be dynamically adjusted, resulting in poor adaptability of the inertial support when the grid frequency fluctuates. This leads to coupling conflicts between AGC commands and inertial support, reduced frequency regulation accuracy, and insufficient optimization of the energy storage power station's state parameters, which may result in battery overcharging and over-discharging, shortening its lifespan.

Method used

By collecting parameters from the power grid and energy storage battery pack, the inertial time constant and damping coefficient are dynamically optimized. Combined with the VSG rotor motion equation, the inertial support power is calculated and processed in coordination with AGC commands to finally generate power commands, thereby achieving coordinated control of the inertial support and battery status.

Benefits of technology

It improves the accuracy of inertial support, reduces frequency fluctuations, ensures battery safety, extends battery life, and improves frequency regulation accuracy.

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Abstract

The invention provides a VSG-based energy storage power station adaptive inertial support control method, system and device and a medium, and relates to the technical field of energy storage power station control. The method comprises the steps that power grid operation parameters and energy storage battery pack state parameters are collected, the power grid operation parameters comprise the power grid frequency and the frequency change rate, and the energy storage battery pack state parameters comprise the remaining electric quantity and the battery temperature; calculating frequency deviation according to the power grid frequency and the power grid rated frequency, judging the power grid disturbance level according to the frequency change rate and the frequency deviation, and judging the battery safety state according to the residual electric quantity and the battery temperature; determining a disturbance adaptation coefficient according to the power grid disturbance level, determining a battery state correction coefficient according to the battery safety state, and dynamically optimizing an inertia time constant and a damping coefficient of the VSG based on the disturbance adaptation coefficient and the battery state correction coefficient; based on the inertia time constant and the damping coefficient, basic inertia support power is calculated in combination with a VSG rotor motion equation, and the basic inertia support power and a frequency modulation component of the AGC instruction are subjected to cooperative processing to obtain a final power instruction; and issuing the final power instruction to the energy storage converter for execution.
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