Enhanced control of voltage source converters considering virtual inertia theory

Author(s):  
Fatemeh Shahnazian ◽  
Jafar Adabi ◽  
Edris Pouresmaeil
2019 ◽  
Vol 34 (9) ◽  
pp. 8660-8670 ◽  
Author(s):  
Jingyang Fang ◽  
Pengfeng Lin ◽  
Hongchang Li ◽  
Yongheng Yang ◽  
Yi Tang

2021 ◽  
Author(s):  
Salem Alshahrani

Renweable energy resources degrade network inertia, thereby frequency stability is worsened. Grid-forming converter aids to stabelize the frequency measures after disturbance by applying virtual inertia to counter the reduced system inertial response. However, some challenges are encountered due to the PID control parameters setting and the virtual inertia value selection<br>


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3277
Author(s):  
Lavr Vetoshkin ◽  
Zdeněk Müller

The paper investigates the stability of a power system with synchronverters. A synchronverter is a control strategy for voltage source converters that introduces virtual inertia by mimicking synchronous machines. The authors picked a commonly known IEEE 9 bus and IEEE 39 bus test case systems for the test case studies. The paper presents the power system’s modal analysis with Voltage Source Converters (VSCs) controlled as synchronverters, vector control, or Rate of Change of Frequency-based Virtual Synchronous Generator, thus comparing different approaches to VSC control. The first case study compares selected control algorithms, the IEEE 9 bus system, with one VSC in the paper. The results demonstrate the benefits of synchronverters over other control strategies. The system with synchronverters has a higher minimal damping ratio, which is proven to be the case by numerical simulations. In the second case study, the effects of virtual inertia placement were investigated. The computations showed that placement is indeed important, however, the control strategy is as important. Besides, the system with synchronverters exhibits better stability characteristics. The paper demonstrates that the application of synchronverters is feasible and can meet the demand for algorithms that bring the benefits of virtual inertia.


2021 ◽  
Author(s):  
Salem Alshahrani

Renweable energy resources degrade network inertia, thereby frequency stability is worsened. Grid-forming converter aids to stabelize the frequency measures after disturbance by applying virtual inertia to counter the reduced system inertial response. However, some challenges are encountered due to the PID control parameters setting and the virtual inertia value selection<br>


2019 ◽  
Vol 55 (3) ◽  
pp. 2931-2941 ◽  
Author(s):  
Hongyang Zhang ◽  
Xiongfei Wang ◽  
Lennart Harnefors ◽  
Hong Gong ◽  
Jean-Philippe Hasler ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1160
Author(s):  
Mohammad Ali Dashtaki ◽  
Hamed Nafisi ◽  
Amir Khorsandi ◽  
Mojgan Hojabri ◽  
Edris Pouresmaeil

In this paper, the virtual synchronous generator (VSG) concept is utilized in the controller of the grid-connected dual two-level voltage source inverter (DTL VSI). First, the topology of the VSG and the DTL VSI are presented. Then, the state-space equations of the DTL VSI and the grid-connected two-level voltage source inverter (TL VSI), regarding the presence of the phase-locked loop (PLL) and the VSG, are given. Next, the small-signal modeling of the DTL VSI and the TL VSI is realized. Eventually, the stability enhancement in the DTL VSI compared with the TL VSI is demonstrated. In the TL VSI, large values of virtual inertia could result in oscillations in the power system. However, the ability of the DTL VSI in damping oscillations is deduced. Furthermore, in the presence of nonlinear loads, the potentiality of the DTL VSI in reducing grid current Total Harmonic Distortion (THD) is evaluated. Finally, by using a proper reference current command signal, the abilities of the DTL VSI and the TL VSI in supplying nonlinear loads and providing virtual inertia are assessed simultaneously. The simulation results prove the advantages of the DTL VSI compared with the TL VSI in virtual inertia emulation and oscillation damping, which are realized by small-signal analysis.


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