Small-signal modelling and analysis of wind turbine with direct drive permanent magnet synchronous generator connected to power grid

Huang, Hui; Mao, Chengxiong; Lu, Jun; Wang, Dan

doi:10.1049/iet-rpg.2010.0217

Cited by 90 publications

(63 citation statements)

References 16 publications

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“…Small-signal analysis is a common method for power system stability analysis, and it is used to analyze the dynamic behaviors of a system under the action of a small disturbance signal by establishing a small signal model of the system [15]. The equivalent circuit of a microgrid system composed by two parallel VSGs is shown in Fig.…”

Section: Stability Analysis Of a Vsgmentioning

confidence: 99%

Research on the Power Sharing Control and Stability of VSGs

Xie¹,

Zang²,

Peng³

et al. 2017

Journal of Power Electronics

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Aiming at the deficiencies of power sharing control performances when a traditional droop control is adopted for microgrid inverters, this paper proposes a microgrid inverter power sharing control strategy based on a virtual synchronous generator. This control method simulates the electromechanical transient characteristics of a synchronous generator in a power system by an ontology algorithm and the control laws of a synchronous generator by control over the speed governor and excitation regulator. As a result, that the microgrid system is able to effectively retain the stability of the voltage and frequency, and the power sharing precision of the microgrid inverter is improved. Based on an analysis of stability of a microgrid system controlled by a virtual synchronous generator, design thoughts are provided for further improvement of the power sharing precision of inverters. The simulation results shows that when the virtual synchronous generator based control strategy was adopted, the power sharing performances of microgrid inverters are improved more obviously than those using the droop control strategy.

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Section: Stability Analysis Of a Vsgmentioning

confidence: 99%

Research on the Power Sharing Control and Stability of VSGs

Xie¹,

Zang²,

Peng³

et al. 2017

Journal of Power Electronics

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“…Many literatures on WT control performance issue have been published [4,[9][10][11][12][13][14][15]. A comparison between a PMSG WT and a DFIG WT was studied from the stability perspective in [13], but no method for tuning controller parameters to improve control performance was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…For precise analysis of the control performance, some early works have investigated using optimization algorithms and small-signal analysis. For instances, in reference [9], DFIG controller parameters were tuned by particle swarm optimization (PSO) and in reference [10], small-signal modeling and analysis was implemented and PI controller parameters were adjusted by investigating traces of eigenvalues. For other instances, a genetic algorithm (GA) was used in reference [11] to adjust the controller parameters of a PMSG WT and a torque compensation strategy for PMSG WTs to improve the system stability was presented in reference [12].…”

Section: Introductionmentioning

confidence: 99%

“…For other instances, a genetic algorithm (GA) was used in reference [11] to adjust the controller parameters of a PMSG WT and a torque compensation strategy for PMSG WTs to improve the system stability was presented in reference [12]. A major demerit of references [9][10][11][12], which is the main focus in the paper, is that they have only considered a fixed wind speed and that of references [10,12] is that they did not apply optimization algorithms, so they cannot guarantee that the designed controller parameters are optimized to their objective. A small-signal stability analysis of a DFIG WT was presented in references [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds

2015

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This paper presents a method to seek the PI controller parameters of a PMSG wind turbine to improve control performance. Since operating conditions vary with the wind speed, therefore the PI controller parameters should be determined as a function of the wind speed. Small-signal modeling of a PMSG WT is implemented to analyze the stability under various operating conditions and with eigenvalues obtained from the small-signal model of the PMSG WT, which are coordinated by adjusting the PI controller parameters. The parameters to be tuned are chosen by investigating participation factors of state variables, which simplifies the problem by reducing the number of parameters to be tuned. The process of adjusting these PI controller parameters is carried out using particle swarm optimization (PSO). To characterize the improvements in the control method due to the PSO method of tuning the PI controller parameters, the PMSG WT is modeled using the MATLAB/SimPowerSystems libraries with the obtained PI controller parameters.

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“…S. Q. Bu et al [10] proposed a method which can directly calculate the probabilistic density function of critical eigenvalues to investigate the impacts of wind generation uncertainty on small signal stability. H. Huang et al [11] built a small signal simulation model under MATLAB/SIMULINK environment to study the stability of grid-connected wind farm equipped with direct drive permanent magnet synchronous generator. H. Z. Huang et al [12] investigated the effects of plug-in electric vehicles and wind farm of DFIG type on power system small signal stability via applying quasi-Monte Carlo method.…”

Section: Introductionmentioning

confidence: 99%

Effects of Wind Generation Uncertainty and Volatility on Power System Small Signal Stability

Shi¹,

Li²,

Yao³

et al. 2014

Journal of Electrical Engineering and Technology

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-This paper discusses the impacts of large scale grid-connected wind farm equipped with permanent magnet synchronous generator (PMSG) on power system small signal stability (SSS) incorporating wind generation uncertainty and volatility. Firstly, a practical simplified PMSG model with rotor-flux-oriented control strategy applied is derived. In modeling PMSG generator side converter, the generator-voltage-oriented control strategy is utilized to implement the decoupled control of active and reactive power output. In modeling PMSG grid side converter, the grid-voltageoriented control strategy is applied to realize the control of DC link voltage and the reactive power regulation. Based on the Weibull distribution of wind speed, the Monte Carlo simulation technique based is carried out on the IEEE 16-generator-68-bus test system as benchmark to study the impacts of wind generation uncertainty and volatility on small signal stability. Finally, some preliminary conclusions and comments are given.

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Small-signal modelling and analysis of wind turbine with direct drive permanent magnet synchronous generator connected to power grid

Cited by 90 publications

References 16 publications

Research on the Power Sharing Control and Stability of VSGs

Research on the Power Sharing Control and Stability of VSGs

Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds

Effects of Wind Generation Uncertainty and Volatility on Power System Small Signal Stability

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