Stability analysis and control parameter optimization for AC-DC hybrid spot networks
•The small signal models are constructed under different operation modes for AC-DC hybrid spot networks.•The influence of different control parameters on the system stability is demonstrated, and the relevant parameters are optimized. AC-DC hybrid spot networks contain strong redundancy. It further...
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Veröffentlicht in: | International journal of electrical power & energy systems 2024-07, Vol.158, p.109987, Article 109987 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •The small signal models are constructed under different operation modes for AC-DC hybrid spot networks.•The influence of different control parameters on the system stability is demonstrated, and the relevant parameters are optimized.
AC-DC hybrid spot networks contain strong redundancy. It further enhances the power supply reliability of spot network systems and is helpful for the integration of distributed energy resources (DERs). However, there are few stability analysis studies of AC-DC hybrid spot networks. Focusing on the AC-DC hybrid spot network, which adopts a unified control strategy, its stability problem is studied in this article. A mathematical model of each unit is constructed for this system. Via linearization of spatial state equations, a small-signal model of the AC-DC hybrid spot network is established under different operation modes. Moreover, corresponding eigenvalue criteria are obtained, and the stability problem is analyzed by using the eigenvalue analysis method when the AC-DC hybrid spot network is subjected to a slight interference under the unified control strategy. The dominant factors of each eigenvalue are studied. Based on this approach, the influence of different control parameters on the system stability is demonstrated. Then, the control parameters are selected for control optimization. A simulation model is constructed in MATLAB/Simulink software. The eigenvalue criteria and simulation results validate the applicability of the small-signal model constructed in this article and the effectiveness of the optimization conclusions. |
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ISSN: | 0142-0615 1879-3517 |
DOI: | 10.1016/j.ijepes.2024.109987 |