Simultaneous Optimization of Virtual Synchronous Generators Parameters and Virtual Impedances in Islanded Microgrids

Pournazarian, Bahram; Sangrody, Reza; Lehtonen, Matti; Gharehpetian, Gevork B.; Pouresmaeil, Edris

doi:10.1109/tsg.2022.3186165

Cited by 35 publications

(15 citation statements)

References 39 publications

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“…The existing studies have primarily focused on coordinating dispatchable DERs such as micro turbines, batteries, and fuel cells, while overlooking the role of non-dispatchable DERs, particularly photovoltaic (PV) systems, in MGs [24]. PV systems can utilise the inverter free capacity to generate reactive power.…”

Section: Introductionmentioning

confidence: 99%

Secondary control with reduced communication requirements for accurate reactive power sharing in AC microgrids

Baharizadeh,

Golsorkhi,

Savaghebi

2023

IET Smart Grid

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A secondary control method is proposed for accurate reactive power sharing as well as frequency and voltage restoration in islanded AC microgrids (MGs). The proposed method consists of an MG secondary controller, local secondary controllers for distributed energy resources (DERs), and a low‐bandwidth communication link for broadcasting common data from the MG secondary controller to DERs. The broadcasted data includes the MG point of common coupling voltage magnitude and a common vertical shift for frequency and voltage restoration. Local secondary controllers calculate specific shifts for the Q‐V droop characteristic of each dispatchable DER and the V‐Q reverse droop characteristic of each photovoltaic (PV) system, aligning their operating points with the Q‐VPCC and VPCC‐Q droop characteristics, respectively. By employing VPCC as a common global variable, coordination of reactive power generation of all dispatchable DERs and PV systems is achieved, enabling accurate reactive power sharing. Importantly, in the proposed scheme, the required communication bandwidth and the communication burden are minor and are not increased with the number of DERs. Additionally, the DERs are relieved of the need for data transmission capability. The small signal stability of the proposed method is examined and its effectiveness is validated through Hardware‐in‐the‐Loop (HIL) experimental results.

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Section: Introductionmentioning

confidence: 99%

Secondary control with reduced communication requirements for accurate reactive power sharing in AC microgrids

Baharizadeh,

Golsorkhi,

Savaghebi

2023

IET Smart Grid

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“…Regarding the grid‐connected stability of VSG, most of the existing studies focus on the analysis of the stability of small‐signal disturbances 13–16 . There are relatively few studies oriented to the transient stability of VSG under large signal disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding the grid-connected stability of VSG, most of the existing studies focus on the analysis of the stability of small-signal disturbances. [13][14][15][16] There are relatively few studies oriented to the transient stability of VSG under large signal disturbances. Liu et al 17 proposed a fault current limiting method based on quantitative design of virtual impedance to so lve the transient instability of VSG caused by grid faults, which can realize the low voltage ride-through of VSG.…”

mentioning

confidence: 99%

Transient power angle stability analysis and improvement strategy for parallel system of virtual synchronous generator and static var generator

Xiao,

Jiang,

et al. 2023

Circuit Theory & Apps

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SummaryVirtual synchronous generators (VSGs) can actively support the frequency and voltage of the grid and are widely used in new energy power plants. Static var generators (SVGs) can improve the reactive power–voltage drop characteristics of the VSG and increase its ability to cope with complex operating conditions. However, the interaction between the VSG and the SVG can affect the output characteristics of the VSG and thus its transient power angle stability. Therefore, this paper proposes a method for analyzing the transient power angle stability of a VSG–SVG parallel system and its improvement strategy. Firstly, based on the equivalent circuit of the parallel system, the interaction‐coupled power model and the transient power angle characteristic model are derived. On this basis, the influence law of various parameters on the transient stability of VSG is analyzed based on the phase plane method. Secondly, a strategy is proposed to improve the transient power angle stability of the VSG–SVG parallel system based on the adaptive regulation of active power, and the feasibility of the strategy is verified by comparing the phase plane diagrams before and after the improved control. Finally, the effectiveness of the proposed model and strategy is verified by Matlab/Simulink simulation.

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“…Using power reference commands as input, a VSG operates similar to a synchronous generator. So, the robustness of the power system is improved [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…In [58], to determine appropriate virtual inertia values for VSGs and to reduce the real power output and frequency oscillations of the DG during load fluctuation, an approach for virtual inertia estimation is provided. In [19], a cost function based on frequency deviation and frequency change rate is used to increase the inertia in microgrids.…”

Section: Introductionmentioning

confidence: 99%

Microgrid Stability Improvement Using a Deep Neural Network Controller Based VSG

Mohammadreza

Tavakoli

Samanfar

2022

International Transactions on Electrical Energy Systems

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In order to support the inertia of a microgrid, virtual synchronous generator control is a suitable control method. However, the use of the virtual synchronous generator control leads to unacceptable transient active power sharing, active power oscillations, and the inverter output power oscillation in the event of a disturbance. This study aims to propose a deep neural network controller which combines the features of a restricted Boltzmann machine and a multilayer neural network. To initialize a multilayer neural network in the unsupervised pretraining method, the restricted Boltzmann machine is applied as a very important part of the deep learning controller. The Lyapunov stability method is used to update the weight of the deep neural network controller. The proposed method performs power oscillation damping and frequency stabilization. The experimental and simulation results are presented to assess the usefulness of the suggested method in damping oscillations and frequency stabilization.

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Simultaneous Optimization of Virtual Synchronous Generators Parameters and Virtual Impedances in Islanded Microgrids

Cited by 35 publications

References 39 publications

Secondary control with reduced communication requirements for accurate reactive power sharing in AC microgrids

Secondary control with reduced communication requirements for accurate reactive power sharing in AC microgrids

Transient power angle stability analysis and improvement strategy for parallel system of virtual synchronous generator and static var generator

Microgrid Stability Improvement Using a Deep Neural Network Controller Based VSG

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