scholarly journals Virtual Synchronous Generator Grid Connected Control Method Based on Virtual Impedance

2019 ◽  
Vol 1187 (2) ◽  
pp. 022026
Author(s):  
Bao-zhu Shao ◽  
Guan-feng Zhang ◽  
Jun-you Yang ◽  
Fei-fei Gao ◽  
Feng Sun ◽  
...  
Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 398 ◽  
Author(s):  
Jun Deng ◽  
Nan Xia ◽  
Jungang Yin ◽  
Jiliang Jin ◽  
Shutao Peng ◽  
...  

With the continuous proliferation of renewable energy generation, distributed photovoltaic inverters operating at a maximum power point reduce the inertia of power systems, degrading system frequency stability and potentially causing severe oscillations in systems after being disturbed. The virtual synchronous generator (VSG) control method, which causes photovoltaic inverters to possess inertia and damping, now plays an important role in the field of distributed generation. However, while introducing the advantages of synchronous machines, problems with oscillations are also introduced and the stochastic fluctuation characteristic of photovoltaics results in the stochastic drifting of the operating point. This paper presents an adaptive controller parameter design method for a photovoltaic-VSG (PV-VSG) integrated power system. Firstly, a small-signal model of the PV-VSG is built and a state space model is deduced. Then, the small-signal stability and low frequency oscillation characteristics of the photovoltaic power generation system are analyzed. Finally, considering the limitations of system oscillations and the stochastic drifting of the operating point, a global optimization design method for controller parameters used to improve system stability is proposed. The time domain simulation shows that an optimized PV-VSG could provide sufficient damping in the case of photovoltaic power output changes across a wider range.


2021 ◽  
Vol 57 (1) ◽  
pp. 46-60
Author(s):  
Xiaodong Liang ◽  
Chowdhury Andalib-Bin-Karim ◽  
Weixing Li ◽  
Massimo Mitolo ◽  
Md Nasmus Sakib Khan Shabbir

2021 ◽  
Vol 2121 (1) ◽  
pp. 012038
Author(s):  
Wenkai Li ◽  
Jie Xie ◽  
Mengzhao Zhang ◽  
Chunlin Guo

Abstract Based on the topology and small signal model of virtual synchronous generator, the influence of virtual inertia and damping coefficient on transient process is analysed. In order to solve the problem of overshoot with small damping coefficient and slow response with large damping coefficient, a fuzzy control method is introduced, which can completely eliminate overshoot without affecting the response speed. Another fuzzy controller is designed to optimize the output of the virtual synchronous generator in the primary frequency modulation process according to the SOC of the energy storage system.


Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2037
Author(s):  
Jun Deng ◽  
Jianbo Wang ◽  
Shupeng Li ◽  
Haijing Zhang ◽  
Shutao Peng ◽  
...  

With the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines possess inertia and damping. However, the stochastic dynamic behavior of wind generation results in the stochastic changing of operating condition; this paper presents an adaptive subsynchronous oscillation (SSO) damping control method for the wind generation with VSG control. Firstly, the small signal model of the permanent magnet synchronous generator (PMSG) with VSG is built, and the model of state space is derived and built. The active power of PMSG is selected as the variable parameter vector to establish a polytopic linear variable parameter system model. Then, based on the hybrid H2/H∞ control method, each vertex state feedback matrix is solved by linear matrix inequality, and a subsynchronous oscillation adaptive damping controller with polytope is obtained. Finally, the 4-machine 2-area system connected to two PMSGs with VSG control is used as the test system for time domain simulation. The simulation results demonstrate that the LPV based adaptive damping controller could provide enough damping under the circumstances of wider changes of wind power outputs.


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