Impact mechanism analysis of virtual governor on transient power angle stability of VSG

被引:0
|
作者
Zhang W. [1 ]
Huang W. [1 ]
Shuai Z. [1 ]
Ge J. [1 ]
Shen C. [2 ]
Cheng H. [1 ]
Shen X. [1 ]
机构
[1] National Electric Power Conversion and Control Engineering Technology Research Center, Hunan University, Changsha
[2] School of Electrical Engineering, Southeast University, Nanjing
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
high-pass filter; low-pass filter; transient power angle stability; virtual governor; virtual synchronous generator;
D O I
10.16081/j.epae.202206028
中图分类号
学科分类号
摘要
As an important part of primary frequency regulation,VG(Virtual Governor) is extremely important for VSG(Virtual Synchronous Generator) to maintain transient power angle stability under large disturbances. The LPF(Low-Pass Filter) and HPF(High-Pass Filter) type VGs are taken for research objects,the corresponding VSG transient large signal models are built. The extended equal area criterion is adopted to analyze VSG transient power angle stability mechanism considering different governors,and the phase portrait method is used to quantitatively research the impact of VG control parameters on VSG transient power angle stability. It is found that decreasing the cut-off frequency of VG will improve the system transient power angle stability,increasing the gain of LPF type VG will strengthen the system transient power angle stability,while increasing the gain of HPF type VG will cause the system transient power angle stability strengthen first and then weaken. When the gain and cut-off frequency of VG are the same,LPF type VG has a larger margin of system transient power angle stability than that of HPF type VG. The correctness of theoretical analysis is verified by the simulative results. © 2022 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码:55 / 62+71
相关论文
共 24 条
  • [1] SHUAI Zhikang, ZOU Fuxiao, TU Chunming, Et al., Review on transient stability of microgrid[J], Automation of Electric Power Systems, 39, 16, pp. 151-159, (2015)
  • [2] Comparison of dynamic characteristics between virtual synchronous generator and droop control in inverter-based distributed generators[J], IEEE Transactions on Power Electronics, 31, 5, pp. 3600-3611, (2016)
  • [3] SUUL J A., Equivalence of virtual synchronous machines and frequency-droops for converter-based microgrids [J], IEEE Transactions on Smart Grid, 5, 1, pp. 394-395, (2014)
  • [4] ZHANG Yu, CAI Xu, ZHANG Chen, Et al., Transient synchronization stability analysis of voltage source converters:a review[J], Proceedings of the CSEE, 41, 5, pp. 1687-1702, (2021)
  • [5] SHUAI Z K, LIU X,, Et al., Parameter stability region analysis of islanded microgrid based on bifurcation theory[J], IEEE Transactions on Smart Grid, 10, 6, pp. 6580-6591, (2019)
  • [6] SHUAI Z K, LIU X,, Et al., Transient angle stability of virtual synchronous generators using Lyapunov’s direct method[J], IEEE Transactions on Smart Grid, 10, 4, pp. 4648-4661, (2019)
  • [7] WANG X F,, LIU F C,, Et al., Transient stability of voltage-source converters with grid-forming control:a design-oriented study[J], IEEE Journal of Emerging and Selected Topics in Power Electronics, 8, 2, pp. 1019-1033, (2020)
  • [8] SHUAI Z K, HUANG W,, Et al., A unified model of voltage-controlled inverter for transient angle stability analysis [J], IEEE Transactions on Power Delivery, 37, 3, pp. 2275-2288, (2022)
  • [9] WU Chunming, REN Jihong, Refined prediction of transient stability margin based on artificial intelligence[J], Electric Power Automation Equipment, 41, 12, pp. 108-114, (2021)
  • [10] SHUAI Z K, SHEN C,, Et al., Transient angle stability prediction of virtual synchronous generator using LSTM neural network[C]∥2021 IEEE Energy Conversion Congress and Exposition, pp. 3383-3387, (2021)