Control design and small-signal modeling of multi-parallel virtual synchronous generators

Zhang, Bo; Yan, Xiangwu; Altahir, Sara Yahia

doi:10.1109/cpe.2017.7915217

Cited by 19 publications

(14 citation statements)

References 16 publications

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“…A quasi‐proportional‐resonant (quasi‐PR) controller is adopted to ensurezero steady‐state error. Then, the round‐rotor model of the synchronous generator isused as the core of inverter controller [20]

({, \begin{aligned} J \frac{normald ω}{normald t} = T_{normalm} - T_{normale} - D (ω - ω_{normalg}) \\ \frac{normald θ}{normald t} = ω \\ \dot{E} = \dot{V} + \dot{I} ()(, R_{s} + normalj X_{s}) \end{aligned})

where J is the virtual inertia, T m and T e are mechanicaland electromagnetic torques, respectively, ω is the mechanicalangular velocity of VSG, ω g is the grid angularvelocity, θ is the electrical angle, E is theelectromotive force, V is the output terminal voltage, I is the stator current, R s is thearmature resistance, X s is the synchronous reactance,and D is the damping coefficient [21, 22].…”

Section: Vsg Controlmentioning

confidence: 99%

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Active and reactive power sharing control strategy for VSGs in microgrid considering the different capacities of distributed energy resources

Altahir

Yan

Gadalla

2018

IET cyber-phys. syst.

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({, \begin{aligned} J \frac{normald ω}{normald t} = T_{normalm} - T_{normale} - D (ω - ω_{normalg}) \\ \frac{normald θ}{normald t} = ω \\ \dot{E} = \dot{V} + \dot{I} ()(, R_{s} + normalj X_{s}) \end{aligned})

Section: Vsg Controlmentioning

confidence: 99%

“…A quasi-proportional-resonant (quasi-PR) controller is adopted to ensure zero steady-state error. Then, the round-rotor model of the synchronous generator is used as the core of inverter controller [20]…”

Section: Introductionmentioning

confidence: 99%

Active and reactive power sharing control strategy for VSGs in microgrid considering the different capacities of distributed energy resources

Altahir

Yan

Gadalla

2018

IET cyber-phys. syst.

Self Cite

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“…The experiments are performed on a microgrid connected with two VSGs of the same power 15 kW, but different droop coefficient in Figure 13. The research on a microgrid of multiple VSGs system has been done by our research group in [30,31] PWM frequency for inverters is set to kHz and values of resistance inductor capacitor (RLC) filters are calculated accordingly. The system is designed to generate three-phase AC voltage.…”

Section: Multiple Vsgs System (Island Microgrid)-casementioning

confidence: 99%

“…The experiments are performed on a microgrid connected with two VSGs of the same power 15 kW, but different droop coefficient in Figure 13. The research on a microgrid of multiple VSGs system has been done by our research group in [30,31] Table 3 shows the parameters selected for the two VSGs. The droop coefficient of VSG1 is set to 10; four times less than the value set for VSG2.…”

Section: Multiple Vsgs System (Island Microgrid)-casementioning

confidence: 99%

VSG Stability and Coordination Enhancement under Emergency Condition

et al. 2018

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Renewable energy sources are integrated into a grid via inverters. Due to the absence of an inherent droop in an inverter, an artificial droop and inertia control is designed to let the grid-connected inverters mimic the operation of synchronous generators and such inverters are called virtual synchronous generators (VSG). Sudden addition, removal of load or faults in the grid causes power and frequency oscillations in the grid. The steady state droop control of VSG is not effective in dampening such oscillations. Therefore, a new control scheme, namely bouncy control, has been introduced. This control uses a variable emergency gain, to enhance or reduce the power contribution of individual VSGs during a disturbance. The maximum power contribution of an individual VSG is limited by its power rating. It has been observed that this control, successfully minimized the oscillation of electric parameters and the power system approached steady state quickly. Therefore, by implementing bouncy control, VSGs can work in coordination to make the grid more robust. The proposed controller is verified through Lyapunov stability analysis.

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“…A virtual swing equation is governed by (1), with the pole pairs of synchronous generator set to 1. All the parameters in the control system is described by physical values [10]

({, \begin{aligned} J \frac{d false(ω - ω_{N} false)}{d t} = \frac{P_{m}}{ω} - \frac{P_{e}}{ω} - D (ω - ω_{g}) \\ \frac{d θ}{d t} = ω \end{aligned})

where P m is the mechanical active power as same as the one of prime mover; P e is the electromagnetic active power. ω is the rotor angular frequency; and ω g is the angular frequency of the grid.…”

Section: Overview Of Vsg Controlmentioning

confidence: 99%

Enhanced control and parameter analysis for virtual synchronous generators without PLL

Zhang

Song

et al. 2018

J. eng.

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Control design and small-signal modeling of multi-parallel virtual synchronous generators

Cited by 19 publications

References 16 publications

Active and reactive power sharing control strategy for VSGs in microgrid considering the different capacities of distributed energy resources

Active and reactive power sharing control strategy for VSGs in microgrid considering the different capacities of distributed energy resources

VSG Stability and Coordination Enhancement under Emergency Condition

Enhanced control and parameter analysis for virtual synchronous generators without PLL

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