VSG network construction energy storage parameter optimization method and device, electronic equipment and medium

By setting the dead segment of the grid frequency and frequency change rate in VSG control technology, and optimizing the virtual inertia and virtual damping using particle swarm algorithm, the problem of difficulty in taking into account both transient and steady-state performance in the existing technology is solved, and the rapid response and steady-state control of the energy storage system are achieved to ensure the safe and stable operation of the power grid.

CN119726979APending Publication Date: 2025-03-28CRRC ZHUZHOU ELECTRIC LOCOMOTIVE RESEARCH INSTITUTE CO LTD
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Patent Information

Application Number
CN202411799996.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing VSG control technology is difficult to take into account the system's transient and steady-state performance in the grid-connected operation of energy storage systems, and the parameter adaptation process only provides qualitative adjustment methods and fails to global optimization.

Method used

By setting the dead section in response to the frequency and frequency change rate of the power grid, setting the weight allocation coefficients for transient overshoot, adjusting time and steady-state power control accuracy, and optimizing virtual inertia and virtual damping using particle swarm algorithms to achieve rapid response and steady-state control of the energy storage system.

Benefits of technology

It realizes the optimization of virtual inertia and virtual damping when the frequency and frequency change rate of the power grid exceed the dead zone to ensure the optimal performance of the system under transient and steady-state conditions, and provides safe and stable support for the power grid.

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Abstract

The invention relates to a VSG network construction energy storage parameter optimization method and device, electronic equipment and a medium, and the method comprises the steps: setting a dead zone responding to the frequency of a power grid and the frequency change rate, and carrying out the real-time monitoring of the frequency of the power grid and the frequency change rate; when the dead zone is exceeded, setting weight distribution coefficients of transient overshoot, adjustment time and steady-state power control precision; the particle swarm optimization is operated, the virtual inertia and the virtual damping are optimized, and the optimization target is to minimize transient overshoot, fastest adjustment time and highest steady-state power control precision; when the dead zone is not exceeded, the power grid frequency and the frequency change rate are continuously monitored in real time, by considering transient and steady state characteristics of the system, optimization of virtual inertia and damping is realized, smooth change of adaptive parameters is ensured, the requirements of adjusting time and power control precision are met, and overshoot and oscillation of the system are effectively suppressed. The frequency support adjusting time is shortened, the steady-state deviation can be reduced, and the system can operate safely and stably.
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