scholarly journals Virtual Inertia Control Strategy in Microgrid Based on Virtual Synchronous Generator Technology

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 27949-27957 ◽  
Author(s):  
Kai Shi ◽  
Haihan Ye ◽  
Wentao Song ◽  
Guanglei Zhou
2020 ◽  
Vol 35 (1) ◽  
pp. 594-604 ◽  
Author(s):  
Meiyi Li ◽  
Wentao Huang ◽  
Nengling Tai ◽  
Liuqing Yang ◽  
Dongliang Duan ◽  
...  

2020 ◽  
Vol 35 (4) ◽  
pp. 3316-3316
Author(s):  
Meiyi Li ◽  
Wentao Huang ◽  
Nengling Tai ◽  
Liuqing Yang ◽  
Dongliang Duan ◽  
...  

Author(s):  
Sara Yahia Altahir Mohamed ◽  
Xiangwu Yan

<p>A new power sharing method of a virtual sychronous generator control based inverters is introduced in this paper. Since virtual synchronous generator has virtual inertia and damping properties, it significantly enhances the grid stability. However, its output power considerably affects by the line impedance. Thus, in this paper, the relation between the droop control and the line impedance is analyzed at first. Then, by appling an improved droop control strategy to an inverter based on the virtual sychronous generator control, achieving proportional active and reactive power sharing unaffected by the line impedance is realized. The result shows that a smooth response is achieved. As well as, the voltage drop caused by the line impedance is totally compensated. As a result, the system stability is furtherly improved. At last, the effectiveness of the proposed method is verified through MATLAB/Simulink.</p>


Author(s):  
Santhoshkumar Thenpennaisivem ◽  
V. Senthilkumar

In this article, a hybrid technique is proposed for improving the transient and small signal response in micro grid using virtual inertia. The proposed hybrid technique is the combined execution of both the emperor penguin optimizer (EPO) and butterfly optimization algorithm (BOA), and hence it is called EPOBOA technique. The major objective of the EPOBOA technique is to “optimize the control parameters to regulate the changes occurred in the grid parameter such as voltage and frequency based on the variations of inertia”. Here, the EPO is executed to modify the parameters of virtual synchronous generator units to achieve the objective function. The searching behaviour of the EPO is adapted by using the hunting behaviour of BOA. The proposed technique is executed in MATLAB/Simulink work site, and the experimental results are analyzed under three test cases: normal condition, irradiation change condition, and load change condition. The performance of the proposed technique is compared with different existing techniques and the calculated frequency deviation index of the proposed technique in all the cases is 0.0051, 0.0045, and 0.0047 and found to be very optimal compared with existing methods. Overall, the experimental outcomes show that the proposed EPOBOA method is more efficient and confirm its ability to solve the issues.


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