Virtual synchronous generators dynamic performances

Aouini, Raouia; Kilani, Khadija Ben; Marinescu, Bogdan; Elleuch, M.

doi:10.1109/cistem.2014.7077025

Cited by 15 publications

(8 citation statements)

References 6 publications

(9 reference statements)

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“…The system damping ratio is determined by J ω and D ω , and the increase of D ω or the decrease of J ω can both increase ξ Gr to reduce power impact [21]. Natural oscillation frequency of the system is determined by J ω , and the increase of J ω can reduce ω nGr .…”

Section: Active Power Characteristics Of Grid-connected Vsg With Fmentioning

confidence: 99%

An Improved Virtual Inertia Algorithm of Virtual Synchronous Generator

Liu

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Virtual synchronous generator (VSG) simulates the first-order motion equation of a synchronous generator (SG) with the algorithm. VSG can improve the system voltage and frequency support capabilities of a microgrid or a weak grid. It is now widely applied at a high penetration level of distributed generation (DG) systems. However, because there is a contradiction between active power steady-state deviation of VSG and dynamic impact regulation, the VSG running in grid-connected mode with existing strategies cannot meet the steady and dynamic control requirements. Thus, an improved virtual inertial control strategy of VSG is proposed in this paper. The active power impact is reduced effectively under the circumstance of damping coefficient D ω equal to 0 and a large inertia, thus the dynamic characteristic of active power is improved and its steady-state characteristic is maintained. Firstly, based on the analysis of the damping coefficient effect on the system dynamic process, two forms of improved virtual inertia algorithms are put forward by cascading a differential link into different positions of the first-order virtual inertia forward channel. Then, by comparing the characteristics of the system with the two improved algorithms, the improved virtual inertial strategy based on differential compensation is proven to be better, and the design of its parameters is analyzed. Finally, simulation and experimental results verify the effectiveness of the proposed algorithm.

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Section: Active Power Characteristics Of Grid-connected Vsg With Fmentioning

confidence: 99%

An Improved Virtual Inertia Algorithm of Virtual Synchronous Generator

Liu

et al. 2020

Journal of Modern Power Systems and Clean Energy

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“…However, these RESs have either small or no rotating part. Therefore, they reduce the inertia of the grid dramatically leading to frequency/voltage instability as compared to the system using sysnchronous generators (Aouini et al, 2014; Bevrani et al, 2014; Hartmann et al, 2019). The CCT reduces because of reduction in effective network inertia due to asynchronous generation (Naik et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Distributed Virtual Synchronous Generator approach versus Singular Virtual Synchronous Generator approach: A dynamic stability evaluation

2020

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This paper reports the modeling and dynamic performance of a wind penetrated multi-area power system incorporating a Singular Virtual Synchronous Generator (SVSG)/Distributed Virtual Synchronous Generator (DVSG). The active and reactive power controls are achieved by using Superconducting Magnetic Energy Storage (SMES) as Virtual Synchronous Generator (VSG). SMES based VSG control parameters are tuned offline using genetic algorithm (GA). Two topologies of VSGs are considered in this paper: SVSG at lowest inertia generator bus (SVSGGENBUS), SVSG at load bus (SVSGLOADBUS) and DVSG of comparatively smaller rating at three lowest inertia generator buses. A modified 18 machine, 70-bus power system is simulated in MATLAB/Simulink environment. System performance is assessed for two different types of disturbances: step wind disturbance and three-phase fault. The simulation results show that rate of change of frequency (ROCOF), deviations in frequency and voltage are minimized with DVSG. Transient stability measured in terms of critical clearing time (CCT) verifies that CCT is increased by DVSG topology.

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“…Traditional bulk power plants, which are dominated by synchronous machines (SMs) with speed governor and excitation control, can automatically regulate speed governor to support frequency instability events, due to the inherent rotor inertia and damping characteristic, as well as voltage (reactive power) control [8,9]. Nevertheless, converter based RES have some special characteristics, such as stochastic output, real and reactive power supplied to AC networks, quick active and reactive power response, small output impedance, and little or no inertia and damping property [10,11]. These RE sources cause fluctuations in power generation, system frequency deviations, and voltage rise due to reverse power from PV generation [8].…”

Section: Introductionmentioning

confidence: 99%

Virtual synchronous generator: an overview

Mohammed¹,

Otuoze²,

Salisu³

et al. 2019

Nig. J. Tech.

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The continuous increase in the penetration of renewable energy (RE) based distributed generations (DGs) in the power system network has created a great concern on the stability of the existing grid. Traditional bulk power plants, which are dominated by synchronous machines (SMs) can easily support system instability, due to the inherent rotor inertia and damping characteristic, as well as voltage (reactive power) control ability. Nevertheless, converter based RE has some special characteristics, such as stochastic real and reactive power output, quick active and reactive power response, small output impedance, and little or no inertia and damping property thereby causing frequency and voltage instability in the system. To solve this problem, virtual synchronous generator (VSG) concept was proposed to emulate some of the features of conventional SG through converter control strategy in order to provide additional inertia virtually. Different control schemes for VSG has been proposed in literature. Surprisingly, an overview of these schemes is yet to be efficiently presented. This paper presents an overview of the VSG control schemes. It provides the concepts, the features of the control schemes and the applications of VSG. Finally, the crucial issues regarding VSG control schemes and the necessary improvement that need to be addressed are highlighted.

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Virtual synchronous generators dynamic performances

Cited by 15 publications

References 6 publications

An Improved Virtual Inertia Algorithm of Virtual Synchronous Generator

An Improved Virtual Inertia Algorithm of Virtual Synchronous Generator

Distributed Virtual Synchronous Generator approach versus Singular Virtual Synchronous Generator approach: A dynamic stability evaluation

Virtual synchronous generator: an overview

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