Dynamic performance analysis of paralleled virtual synchronous generators under grid-connected and islanded mode

Wang, Zhenxiong; Hao, Yi; Wu, Jiaqi; Zhuo, Fang; Wang, Feng; Zeng, Zhirong

doi:10.1109/apec.2017.7930868

Cited by 11 publications

(7 citation statements)

References 12 publications

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“…Firstly, consider the effect of K d on settling time t s assuming J is fixed. When the system is underdamped (1 > ξ>0), according to (38), K d is inversely proportional to t s . Thus, increasing droop/ damping gain results in settling time reduction.…”

Section: Settling Timementioning

confidence: 99%

“…Similarly, the effect of inertia J on settling time t s is directly proportional from (38) when the system is underdamped.…”

Section: Settling Timementioning

confidence: 99%

“…Although the Jacobian matrix could be used to analyse parametric sensitivity, the decoupled parametric effect on output power performance can be more clearly presented by transfer functions. In this respect, the authors of [35, 36] have provided a complex transfer function analysis with both VSG and VSC dynamics for the frequency to active power, while [37, 38] uses a simplified second‐order transfer function for the frequency to active power considering virtual inertia and droop. Chen and O'Donnell [39] provided the transfer function for reference active power to actual power output and then analysed the VSG stability constraints.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of virtual synchronous generator control and its response based on transfer functions

Chen

O’Donnell

2019

IET Power Electronics

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Virtual Synchronous Generator (VSG) control has been proposed as a means to control power electronics converter interfaced generation and storage which retains the dynamics of the conventional synchronous machine. This paper provides a comprehensive, transfer function based, analysis of VGS control, which can be used as the basis for the design of VSG transient and steady state performance. Based on a hardware validated, large signal model, a small signal model and associated transfer functions which describe the changes in real and reactive power in response to changes in references and grid frequency disturbances. The derived transfer functions are used to obtain insight into the correct design of VSG controllers. The small signal models, transfer functions and associated analysis are validated by comparison with measured results on a scaled hardware system.

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Section: Settling Timementioning

confidence: 99%

“…Similarly, the effect of inertia J on settling time t s is directly proportional from (38) when the system is underdamped.…”

Section: Settling Timementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of virtual synchronous generator control and its response based on transfer functions

Chen

O’Donnell

2019

IET Power Electronics

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“…As the parameters of PEIs are tunable rather than restrained by physical equipment, VSG algorithms can modify the inertia properties of the renewable units in real-time. General analysis for dynamic performance can also be found in [18,19], in which the influence of inertia and droop properties are analyzed based on transfer functions. Continuous change and step change of virtual inertia parameters are designed to minimize frequency deviation and energy support [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Performance Tuning for Power Electronic Interfaces Under VSG Control

2020

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Renewable generation, such as solar PV and wind power, is commonly integrated into the power grid through inertialess power electronic interfaces (PEIs). Due to the increasing penetration of renewable generation, the frequency stability of the current power system deteriorates. In order to sustain the desired level of the overall inertia, the virtual synchronous generator (VSG) algorithm has been proposed. The concept of VSG is to enable the PEIs to emulate the external properties of traditional synchronous generators (SGs), such as inertia and primary frequency responses. By exploitation of the well-established knowledge system of conventional SG-based power grids, the VSG can also be implemented with the capabilities of primary, secondary, and tertiary frequency control in multiple temporal stages. This paper focuses on parameter tuning for VSG-PEIs by performance indices. The emulation strategies are completed with the capability of secondary and tertiary frequency regulation. The transfer functions of the dynamic systems of PEIs are simplified and referred to the control theory. The composite influences of different parameters on performance indices are analyzed. The methods of the parameter tuning are proposed according to the temporal sequences of the control stages. By typical performance standards, the proposed method is verified through simulation.

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“…In terms of modelling and analysing of multi VSGs, some approaches have been documented. For example, article [17] built a simplified transfer function model of paralleled VSGs. Then the model was used to study the microgrids with multiple VSGs in both grid-connected mode and islanded mode.…”

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.

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Dynamic performance analysis of paralleled virtual synchronous generators under grid-connected and islanded mode

Cited by 11 publications

References 12 publications

Analysis of virtual synchronous generator control and its response based on transfer functions

Analysis of virtual synchronous generator control and its response based on transfer functions

Performance Tuning for Power Electronic Interfaces Under VSG Control

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

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