Power Decoupling Method Based on the Diagonal Compensating Matrix for VSG-Controlled Parallel Inverters in the Microgrid

B, Li; Zhou, Lin

doi:10.3390/en10122159

Cited by 40 publications

(10 citation statements)

References 20 publications

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“…Matrix decoupling relies heavily on the precise mathematical model of the controlled object. [16][17][18] As the actual noise control system is a nonlinear and time-varying complex multivariable system, the matrix decoupling is suitable for a few channels and cannot meet the actual control requirements. In the case of the multi-channel control systems, the calculation of the decoupling matrix is more complicated, and the control results thus far, cannot be improved.…”

Section: Introductionmentioning

confidence: 99%

A Decoupling Algorithm Based on PID Neural Network for Multi-Channel Active Noise Control of Nonstationary Noise

Wu¹,

Wang²,

Guo³

et al. 2022

The International Journal of Acoustics and Vibration

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It is critical to study multi-channel active noise control (ANC) systems to satisfy the requirements of noise reduction in multi-target positions. However, the complexity of the system may increase as the result of an increased number of sound channels. In addition, multi-channel coupling affects the stability of a system. In this paper, a decoupling algorithm based on the Proportion Integration Differentiation (PID) neural network and the filtered-x least-mean-square (FxLMS) for the multi-channel ANC of nonstationary noise is proposed. Due to the nonlinear characteristics of the PID neural network, the coupling problem can be solved through the algorithm. The performance of the novel proposed algorithm is verified by comparing the simulation results with the results from the traditional FxLMS algorithm and the FxLMS algorithm with matrix decoupling. The results illustrate that the convergence speed of the traditional FxLMS algorithm is similar to that of the FxLMS algorithm with matrix decoupling, while the proposed algorithm converges significantly faster than the other two algorithms. In terms of control performance, the proposed algorithm executes the best and the residual error signal has the minimum amplitude, followed by the FxLMS algorithm with matrix decoupling and the traditional FxLMS algorithm. With the advantages in convergence speed and control performance, the proposed decoupling algorithm could be suitable for multi-channel nonstationary ANC.

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Section: Introductionmentioning

confidence: 99%

A Decoupling Algorithm Based on PID Neural Network for Multi-Channel Active Noise Control of Nonstationary Noise

Wu¹,

Wang²,

Guo³

et al. 2022

The International Journal of Acoustics and Vibration

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“…Few studies focus on addressing the power coupling issues in the VSG-based grid-forming inverters, especially in GCM. In [21], the power equations considering a resistiveinductive grid impedance are linearized at a specific operating point. Then, a power decoupling method based on compensating for the coupling components of the power equations is presented.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the above efforts to eliminate the power decoupling issue in the VSG-based grid-forming inverters, several shortcomings remain to be resolved. First, the control design proposed based on linearization and decoupling, e.g., in [21], is valid and accurate only for the specific linearized operating point. Second, the proposed control design, e.g., in [19], [23], assume the grid impedance is purely inductive, which is not the case in weak and low voltage grids.…”

Section: Introductionmentioning

confidence: 99%

Online Grid Impedance Estimation-Based Adaptive Control of VSGs Considering Strong and Weak Grid Conditions

Mohammed¹,

Bahrani²,

Ravanji³

et al. 2022

Preprint

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<p>The conventional virtual synchronous generator (VSG) is normally designed to meet certain operational and control requirements in the islanded mode. However, once the VSG is switched to grid-connected mode (GCM), the robust operation cannot be guaranteed under different grid conditions. It can lead to, especially in strong grids, poor dynamic performance such as significant oscillation, long settling time, and high overshoot. In order to improve the VSG performance in the GCM, this article first analyzes in depth the inherent coupling between the active and reactive power and its dependence on the grid conditions, such as the short circuit ratio, grid impedance ratio Xg=Rg, and the wide grid impedance variations. Afterwards, an online grid impedance estimation-based adaptive VSG (AVSG) control strategy is proposed to ensure the robust operation of the VSG considering both strong and weak grid conditions. This technique allows the operator to specify the desired settling time of output power and damping ratio.To estimate the grid impedance in real time without extra hardware and reduce the associated impacts on power quality, an online event-based grid impedance estimation algorithm is embedded into the control loop of the AVSG. Both the simulation and experimental results indicate that, compared to the conventional fixed-parameters-based controller design method, the AVSG enables the desired performance such as no oscillation, specified time duration for the settling time, and minimal overshoot regardless of the grid conditions.</p>

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“…On the other hand, the DG units can be controlled by the virtual synchronous generator (VSG) method to mimic an SG, which improves the stability of the entire power system [1]. Thus, many attempts have been made to advance the VSG technology, typically considering the inertia and damping characteristics [2], [3], stability issues [4], [5], operational modes (islanded and grid-connected) [6] and general control strategies [7].…”

Section: Introductionmentioning

confidence: 99%

Transient Analysis of Microgrids With Parallel Synchronous Generators and Virtual Synchronous Generators

Shi

Song

et al. 2020

IEEE Trans. Energy Convers.

129

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In recent years, the increasing penetration of distributed generation in microgrids challenges the control and coordination of energy resources. Especially in microgrids with virtual synchronous generator (VSG)-controlled converters and conventional synchronous generators (SG), the inherent inertia difference (i.e., the VSG and SG) results in a poor transient performance when the VSG and/or loads are cut in/out. Thus, this paper explores the transient performance of microgrids with parallel VSG and SG systems. More importantly, a novel presynchronization control method is proposed to eliminate the phase jump while meeting the requirements in case of closures or re-closures of generation units. A small-signal dynamic model is presented, and accordingly, the VSG inertia and its damping can be designed considering the capacity ratio of VSG and SG units. In addition, with the power angle stability analysis, an active power provision strategy is introduced to suppress the transient power oscillation due to the inertia difference. Finally, the feasibility of the proposed methods is verified by simulations on a microgrid consisting of parallel VSG and SG units.

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Power Decoupling Method Based on the Diagonal Compensating Matrix for VSG-Controlled Parallel Inverters in the Microgrid

Cited by 40 publications

References 20 publications

A Decoupling Algorithm Based on PID Neural Network for Multi-Channel Active Noise Control of Nonstationary Noise

A Decoupling Algorithm Based on PID Neural Network for Multi-Channel Active Noise Control of Nonstationary Noise

Online Grid Impedance Estimation-Based Adaptive Control of VSGs Considering Strong and Weak Grid Conditions

Transient Analysis of Microgrids With Parallel Synchronous Generators and Virtual Synchronous Generators

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