Abstract

The virtual inertia and virtual damping affect both the dynamic stability of the virtual synchronous generator(VSG) and the configuration of energy storage, but there is a conflict between them while selecting the virtual inertia and virtual damping. An optimal coordination control strategy of micro-grid inverter and energy storage based on variable virtual inertia and damping is proposed to mitigate this conflict. With the integrated optimal constraint of the VSG frequency variation and the energy storage capacity, the virtual inertia and damping of VSG are configured dynamically, adopting linear quadratic optimal control. It can suppress the oscillations of the active power and frequency to improve the stability of VSG and optimally configure the energy storage capacity of VSG simultaneously. The proposed strategy aims to improve the control performance of micro-grid inverter and the system economy. The simulation and experimental results verify the effectiveness of the strategy.

Highlights

  • With the integration of various distributed generation systems, micro-grid is becoming one of the most popular topics in the world[1]

  • The selection of the inertia and damping is related to the stable operation of VSG, and it influences the economy of energy storage configuration

  • The introduction of virtual inertia is better for supporting micro-grid frequency and it influences the stability of VSG at the same time

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Summary

Introduction

With the integration of various distributed generation systems, micro-grid is becoming one of the most popular topics in the world[1]. On the basis of the research status above, an optimal control strategy of VSG based on variable inertia and damping is proposed It uses the flexible and controllable characteristics of VSG by analyzing the range of variation of virtual inertia and damping and their relationship with the energy storage capacity. With the integrated optimal constraint of VSG frequency variation and the energy storage capacity, the virtual inertia and damping of VSG are configured dynamically, adopting linear quadratic optimal control. It can suppress the oscillation of the active power and frequency to enhance the system stability and to optimally configure the capacity of energy storage simultaneously. The proposed strategy improves the VSG control performance and the system economy

Principle of VSG
Model of grid-connected VSG
Analysis of VSG stability region
Analysis of energy storage capacity based on inertia and damping
Optimal control of VSG based on variable inertia and damping
R represents the positive solution of
Simulation and experimental results
Conclusion
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