Improved Virtual Inertia of PMSG-Based Wind Turbines Based on Multi-Objective Model-Predictive Control

Qin, Shiyao; Chang, Yuyang; Xie, Zhen; Li, Shaolin

doi:10.3390/en14123612

Cited by 11 publications

(5 citation statements)

References 41 publications

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“…The double artificial network is very effective in constraining frequency variation for the microgrid system. The work [99] illustrated a multi-objective model predictive controller to enhance system performance by elevating VI during IBR penetration via power electronics. The PMSG-based system effectively addressed all the cost functions related to frequency difference and handled the contingencies for high penetration of PMSG into the power system networks.…”

Section: Intelligent Strategiesmentioning

confidence: 99%

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

Shobug,

Chowdhury,

Hossain

et al. 2024

Energies

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In modern power systems, conventional energy production units are being replaced by clean and environmentally friendly renewable energy resources (RESs). Integrating RESs into power systems presents numerous challenges, notably the need for enhanced grid stability and reliability. RES-dominated power systems fail to meet sufficient demand due to insufficient inertia responses. To address this issue, various virtual inertia emulation techniques are proposed to bolster power system stability amidst the increased integration of renewable energy sources into the grid. This review article explores state-of-the-art virtual inertia support strategies tailored to accommodate the increased penetration of RESs. Beginning with an overview of this study, it explores the existing virtual inertia techniques and investigates the various methodologies, including control algorithms, parameters, configurations, key contributions, sources, controllers, and simulation platforms. The promising virtual inertia control strategies are categorised based on the techniques used in their control algorithms and their applications. Furthermore, this review explains evolving research trends and identifies promising avenues for future investigations. Emphasis is placed on addressing key challenges such as dynamic response characteristics, scalability, and interoperability with conventional grid assets. The initial database search reveals 1529 publications. Finally, 106 articles were selected for this study, adding 6 articles manually for the review analysis. By synthesising current knowledge and outlining prospective research directions, this review aims to facilitate the current state of research paths concerning virtual inertia control techniques, along with the categorisation and analysis of these approaches, and showcases a comprehensive understanding of the research domain, which is essential for the sustainable integration of renewable energy into modern power systems via power electronic interface.

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Section: Intelligent Strategiesmentioning

confidence: 99%

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

Shobug,

Chowdhury,

Hossain

et al. 2024

Energies

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“…The control diagram of a type-4 WTG operating in the PQ control mode with inertial controller is shown in Figure 1 [8], where H v is the virtual inertia constant, ω t is the wind turbine speed, and k opt is the gain of the classical MPPT employed in commercial WTGs. The virtual inertia moment may be written as a function of the inertia constant as…”

Section: Electromechanical Dynamics Of Wtgs Operating With Inertial C...mentioning

confidence: 99%

“…The simultaneous action of these two controllers couples the wind turbine speed dynamics and system frequency dynamics. The control loops of the WTG are implemented in the dq reference frame using typical PI controllers [8]. The control diagram of a type-4 WTG operating in the Qf control mode with inert response support from VSG is shown in Figure 2 [17].…”

Section: Electromechanical Dynamics Of Wtgs Operating With Inertial C...mentioning

confidence: 99%

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Frequency Dynamics of Power Systems with Inertial Response Support from Wind Generation

Bastiani

Oliveira

2023

Energies

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Inertial response support from wind turbine generators has become a priority requirement in most grid codes to improve the frequency response and frequency stability margins of power systems. However, the interaction between MPPT and inertial controllers may significantly degrade the power system dynamics. Therefore, there is a need to comprehensively understand the electromechanical dynamics of power systems with high penetration of wind generation. In this context, this work proposes a simplified dynamic model to assess the electromechanical dynamics of modern power systems with inertial response support from wind generation. The proposed simplified model allows simple analyses of the intrinsic and extrinsic aspects of wind generation that directly affect the system frequency dynamics and the dynamics of wind turbine generators. As a secondary contribution, this work also provides a comprehensive assessment of intrinsic and extrinsic aspects of wind generation that significantly affect the electromechanical dynamics of power systems with inertial response support from wind generation.

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“…For instance, Ref. [4] suggested an enhanced virtual inertia control for Permanent Magnet Synchronous Generator (PMSG)-based wind turbines based on multi-objective model-predictive control. Ref.…”

Section: Introductionmentioning

confidence: 99%

Robust Control for Torque Minimization in Wind Hybrid Generators: An H∞ Approach

Mseddi,

Naifar,

Rhaima

et al. 2023

Mathematics

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This study focuses on implementing a wind turbine emulator based on a permanent magnet synchronous machine with excitation auxiliary windings and thoroughly investigates the space harmonics created by this innovative topology in MATLAB/Simulink. A Hybrid Generator (HG) is a robust generator that does not have slip rings or brushes in its structure. Furthermore, the flux of the hybrid generator HG may be easily adjusted as it is created by direct current excitation coils and permanent magnets. Unfortunately, the space harmonic rate in the HG is relatively high. In other words, the mechanical vibrations caused by the electromagnetic torque ripple threaten the drive train’s behaviour and, ultimately, the wind turbine’s lifespan. This study describes two methods for decreasing the ripple in electromagnetic torque. Both circuit architecture and robust H∞ control techniques are considered. After simulating the two approaches, a list of requirements is provided for the maximum allowable amplitude of the inductance and the flux harmonics.

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Improved Virtual Inertia of PMSG-Based Wind Turbines Based on Multi-Objective Model-Predictive Control

Cited by 11 publications

References 41 publications

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

Frequency Dynamics of Power Systems with Inertial Response Support from Wind Generation

Robust Control for Torque Minimization in Wind Hybrid Generators: An H∞ Approach

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