Stability analysis and control parameter optimization for AC-DC hybrid spot networks

被引:0
|
作者
Zhang, Zhihua [1 ]
Sun, Mingming [1 ]
Wang, Hao [2 ]
Wang, Kun [3 ]
Zhao, Yilong [4 ]
机构
[1] China Univ Petr, Coll New Energy, Co 266580, Peoples R China
[2] Qingdao Jari Ind Control Technol Co Ltd, Qingdao 266580, Peoples R China
[3] Laiwu Dist Power Supply Co State Grid Corp China, Jinan 271100, Peoples R China
[4] Weifang Dist Power Supply Co State Grid Corp China, Weifang 261021, Peoples R China
基金
中国国家自然科学基金;
关键词
AC -DC hybrid spot network; Small -signal model; Eigenvalue criteria; Stability analysis; Parameter optimization; STRATEGY;
D O I
10.1016/j.ijepes.2024.109987
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:11
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