Small-Signal Modeling and Stability Analysis of Delay-Dependent Cyber-Physical Microgrid System Under Hybrid Secondary Control

This paper studies stability issues in islanded delay-dependent cyber-physical microgrid systems (CPMGSs) with the distributed hierarchical control framework. Firstly, a distributed consensus algorithm and decentralized point of common coupling voltage estimation-based hybrid secondary control is proposed for the distinctive capability of PCC voltage restoration, as well as power sharing and frequency restoration. Besides a novel linearized small-signal modeling method is developed for the frequency-domain stability analysis with low computational complexity, based on which the time-delayed state-space model (SSM) of the CPMGS is derived. Lastly, the time-domain simulations carried out in Matlab and systematical eigenvalue analysis in frequency-domain stability verify the effectiveness of the proposed control method and the accuracy of the SSM.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/pepsc63375.2024.10823626
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

Small-Signal Modeling and Stability Analysis of Delay-Dependent Cyber-Physical Microgrid System Under Hybrid Secondary Control

Rongwu Zhu, Yong Ding
Smart Grid Security and Resilience
article

Small-Signal Modeling and Stability Analysis of Delay-Dependent Cyber-Physical Microgrid System Under Hybrid Secondary Control

Rongwu Zhu, Yong Ding
article en

Abstract

This paper studies stability issues in islanded delay-dependent cyber-physical microgrid systems (CPMGSs) with the distributed hierarchical control framework. Firstly, a distributed consensus algorithm and decentralized point of common coupling voltage estimation-based hybrid secondary control is proposed for the distinctive capability of PCC voltage restoration, as well as power sharing and frequency restoration. Besides a novel linearized small-signal modeling method is developed for the frequency-domain stability analysis with low computational complexity, based on which the time-delayed state-space model (SSM) of the CPMGS is derived. Lastly, the time-domain simulations carried out in Matlab and systematical eigenvalue analysis in frequency-domain stability verify the effectiveness of the proposed control method and the accuracy of the SSM.

Harbin Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Smart Grid Security and Resilience
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