Virtual Synchronous Generator Based Auxiliary Damping Control Design for the Power System with Renewable Generation

Gao, Bingtuan; Xia, Chaopeng; Chen, Ning; Cheema, Khalid Mehmood; Yang, Ling; Li, Chunlai

doi:10.3390/en10081146

Cited by 27 publications

(26 citation statements)

References 36 publications

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“…The parameters such as the damping coefficient (D) and the inertia coefficient (J) could be changed and optimised. Several examples of parameter manipulations in VSG are explained in [32][33][34][35][36]. In [32], Xu et al changes the angular acceleration to give the best OD during the transient period.…”

Section: Od Control Of Vsgmentioning

confidence: 99%

Progress in control and coordination of energy storage system‐based VSG: a review

Othman

Mokhlis

Mubin

et al. 2019

IET Renewable Power Generation

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Virtual synchronous generator (VSG) is an important concept toward frequency stabilisation of the modern power system. The penetration of power electronic-based power generation in power grid reduces the total inertia, and thus increases the risk of frequency instability when disturbance occurs in the grid. VSG produces virtual inertia by injecting appropriate active power value to the grid when needed. This virtual inertia can stabilise the grid frequency in case of a power imbalance between generation and loads or any disturbances that affected frequency stability. Its intensive research can see the importance of VSG in inertia control and various intelligent controller techniques. Owing to the importance of VSG in the modern power grid, this study provides a comprehensive review on the control and coordination of VSG toward grid stabilisation in terms of frequency, voltage and oscillation damping during inertia response. A review on the type of energy storage system used for VSG and their benefits is also presented. Finally, perspective on the technical challenges and potential future research related to VSG is also discussed in this study. Nomenclature P g measured active power Q g measured reactive power P * active power reference Q* reactive power reference V g * output voltage reference V g output voltage ω o reference angular frequency ω g grid Frequency ω r rotor angular frequency J moment of inertia constant D damping coefficient constant δ VSG phase angle X output reactance of the VSG K w governor proportional control gain K q reactive power proportional control gain T Q reactive power first-order lag time constant

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Section: Od Control Of Vsgmentioning

confidence: 99%

Progress in control and coordination of energy storage system‐based VSG: a review

Othman

Mokhlis

Mubin

et al. 2019

IET Renewable Power Generation

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“…Whether in off-grid mode or grid-connected mode, no matter when the power demand changes or the light intensity changes, PV power can operate in a stable area to adjust adaptively, and PV-VSG can provide the most effective output power matching under different load/dispatching power requirements, guaranteeing system stability in conditions of insufficient PV power. Accordingly, compared with traditional two-stage PV-VSG equipped with additional energy storage on the DC bus [19][20][21][22], the proposed control method reduces the cost of investment and operation on account of not configuring energy storage.…”

Section: (2) Variation Of Pv Maximum Output Powermentioning

confidence: 99%

“…This type of PV-VSG research ignores the potential impact of PV dynamic characteristics on VSG control, hence limiting the development of PV-VSG. For this reason, the cooperative operation mode of PV and energy storage is discussed in [19][20][21][22], which is referred to as a PV-storage system for short, in which the PV system adds a bidirectional energy storage device at the DC side to stabilize the DC bus voltage and realizes VSG function through the inverter. In the above PV-storage system, the output power of energy storage compensates for the deficiency of the PV dynamic characteristics and the variations of the load or dispatching requirements.…”

Section: Introductionmentioning

confidence: 99%

Adaptive-MPPT-Based Control of Improved Photovoltaic Virtual Synchronous Generators

Yan

Zhao

et al. 2018

Energies

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The lack of inertia and damping mechanism of photovoltaic (PV) grid-connected systems controlled by maximum power point tracking (MPPT) poses a challenge for the safety and stability of the grid. Virtual synchronous generator (VSG) technology has attracted wide attention, since it can make PV grid-connected inverter present the external characteristics of a synchronous generator (SG). Nevertheless, traditional PV-VSG is generally equipped with an energy storage device, which leads to many problems, such as increased costs, space occupation, and post-maintenance. Thus, this paper proposes a two-stage improved PV-VSG control method based on an adaptive-MPPT algorithm. When PV power is adequate, the adaptive-MPPT allows the PV to change the operating point within a stable operation area to actualize system supply-demand, matching in accordance to the load or dispatching power demand; when PV power is insufficient, PV achieves traditional MPPT control to reduce power shortage; simultaneously, improved VSG control prevents the DC bus voltage from falling continuously to ensure its stability. The proposed control approach enables the two-stage PV-VSG to supply power to loads or connect to the grid without adding additional energy storage devices, the effectiveness of which in off-grid and grid-connected modes is demonstrated by typical simulation conditions.

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“…The two-step control technique is presented in [8,28], which suppresses frequency and power oscillations by fulfilling the criteria of Lyapunov-stability. In [29], an auxiliary damping controller for a grid-connected VSG is proposed to minimise the frequency deviation and improve the system stability. However, the proposed technique is demonstrated on a single machine infinite bus scenario, whereas results for a multi-machine scenario postponed for future research.…”

Section: Introductionmentioning

confidence: 99%

Improved virtual synchronous generator control to analyse and enhance the transient stability of microgrid

Cheema

Mehmood

2020

IET Renewable Power Generation

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In recent years, the integration of renewable energy resources (RESs) into the power system is growing rapidly, and it is necessary to analyse and evaluate the effect of RES on transient stability of the power system. In this study, centre of inertia (COI) concept is implemented to analyse and evaluate the integration effects of an auxiliary damping control-based virtual synchronous generator (VSG) consisting an improved governor. The impact of VSG integration is divided into synchronous generator (SG) linked parts and COI associated parts. Due to VSG integration into the power system, the significant elements which disturb the COI dynamic motion and rotor dynamics of SG are examined in detail. Different cases are considered to evaluate the effectiveness of the proposed method, i.e. VSG's different integrating location and different power capacities. It is observed in simulation results that COI dynamic motion and rotor dynamics of SG are positively affected by VSG integration, and transient stability improves significantly.

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Virtual Synchronous Generator Based Auxiliary Damping Control Design for the Power System with Renewable Generation

Cited by 27 publications

References 36 publications

Progress in control and coordination of energy storage system‐based VSG: a review

Progress in control and coordination of energy storage system‐based VSG: a review

Adaptive-MPPT-Based Control of Improved Photovoltaic Virtual Synchronous Generators

Improved virtual synchronous generator control to analyse and enhance the transient stability of microgrid

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