State-space averaging model of wind turbine with PMSG and its virtual inertia control

Shi, Qiaoming; Wang, Gang; Fu, Lijun; Yuan, Ling; Huang, He

doi:10.1109/iecon.2013.6699418

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…The proposed controller is simulated on the MATLAB/Simulink platform and regulates inertia enhancement and optimum power-sharing. Reference [117] described another VIC strategy for achieving system stability and increased inertia response in wind power integrated systems (WPIS). The control technique used a statespace averaging model to investigate the transient response and load-changing impact.…”

Section: E Other Vic Techniquesmentioning

confidence: 99%

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

et al. 2022

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By replacing conventional generation units with renewable energy sources (RESs), the power system gains an alternate source of future power generation and a better environmental platform. RESs, on the other hand, are unable to provide the required power demand due to poor inertia responses and low-frequency stability. As a result, multiple inertia augmentation control strategies were developed to increase frequency stability and maximize power usage in the grid-integrated renewable energy systems. Accordingly, this study thoroughly reviews existing virtual inertia control (VIC) strategies for improving inertia response and frequency stability. This study investigates 51 VIC approaches regarding required parameters, configurations, key contributions, sources, controllers, and simulation platforms. Furthermore, to emphasize the most promising ones, the VIC approaches are classified as intelligent, adaptive, derivative, coordinated control, and other VIC techniques. The classification approach is followed by the system configuration and the mode of operation of each control scheme. Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. In contrast, adaptive control schemes emphasize the adaptation of control operations. These studies include both the standalone and grid-connected RESs frequency and power control approaches with necessary mathematical modelling and equations, which are rarely available in the recent existing works. The current state of research on improving frequency stability and inertia response in the grid-integrated RESs is discussed. Finally, this literature review reflects the present status of VIC technique research paths, and the categorization and analysis of these approaches demonstrate an extensive insight into the research field.INDEX TERMS Renewable energy, virtual inertia control techniques, synthetic inertia control, frequency stability, intelligent control, adaptive control, derivative control, coordinated control.

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Section: E Other Vic Techniquesmentioning

confidence: 99%

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

et al. 2022

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“…Wind turbines can either operate at fixed speed or Rafael Peña-Gallardo rafael.pena@uaslp.mx variable speed. In a fixed-speed wind turbine, the generator, normally a conventional squirrel-cage induction machine is directly connected to the grid through a transformer [1][2][3]. Variable speed wind turbines are controlled by power electronic equipment, and depending on the arrangement, both induction and synchronous machines can be employed [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…To overcome this problem, models in the dq reference frame have been developed; these models consider the most suitable scheme of the test system according to the topology under study and the control necessities [1,6,14]. In the case of real-time simulations the complexity of the model and the computational effort are two aspects to take into account in the modeling [4,15].…”

Section: Introductionmentioning

confidence: 99%

A state-space model and control of a full-range PMSG wind turbine for real-time simulations

et al. 2018

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Direct drive permanent magnet synchronous generators (PMSG) have drawn great interest to wind turbine manufacturers, due to the advance of power electronic technology, improved designs and fabrication procedures of these types of generators. In this research, a state-space model of a PMSG wind turbine was developed, and used for the obtainment of a control strategy in a easier way for a test system in the dq reference frame. Then, a complete model of a PMSG wind turbine connected to an electric grid through a fullscale Back-to-Back (BTB) converter with its controls was implemented, using the detailed models included in a Real-Time Digital Simulator (RTDS). Simulation results show that the controllers perform efficiently during transient and steady state conditions, and that the presented model can be used for the development of control strategies prior to their implementation in a professional software.

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“…The control scheme of the generator side converter is shown in Fig.5 (b). The control scheme is composed of active power control and reactive power control, both of them adopt double loop control and the feed-forward decoupling control is adopted to eliminate the coupling of d-axis variable and q-axis variable in the inner loop [14]. In Fig.…”

Section: Application Of C-vicmentioning

confidence: 99%

Coordinated Virtual Inertia Control Strategy for D-PMSG Considering Frequency Regulation Ability

Shi¹,

Wang²,

Ma³

et al. 2016

Journal of Electrical Engineering and Technology

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-In the process of virtual inertia control (VIC), the frequency regulation capability of the directly-driven wind turbine with permanent-magnet synchronous generator (D-PMSG) on wind farm is related to its rotor kinetic energy and capacity margin. This paper proposes the method for assessing the D-PMSG frequency regulation capability and defining its coefficient according to the operating state of wind power generators. In addition, the calculating method of parameters in VIC is also discussed according to the principles of primary frequency regulation and inertia response of synchronous generators. Then, by introducing the capability coefficient into the proportion-differential virtual inertia control (PD-VIC) for power coordination, a coordinated virtual inertia control (C-VIC) strategy is developed, with the consideration of the difference in frequency regulation capability between wind power generators. The proposed control method can not only give full play to the frequency regulation capability of wind power generators, decrease the movements of the pitch angle control system but also bring some self-coordination capability to different wind power generators thus to avoid a secondary drop in system frequency. The simulations and experiments prove the proposed method to be effective and practicable.

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State-space averaging model of wind turbine with PMSG and its virtual inertia control

Cited by 8 publications

References 10 publications

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

A state-space model and control of a full-range PMSG wind turbine for real-time simulations

Coordinated Virtual Inertia Control Strategy for D-PMSG Considering Frequency Regulation Ability

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