Synchrophasor Measurement-Based Wind Plant Inertia Estimation

Zhang, Yingchen; Bank, Jason; Wan, Yih-huei; Muljadi, Eduard; Corbus, D.

doi:10.1109/greentech.2013.85

Cited by 27 publications

(24 citation statements)

References 12 publications

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“…This characteristic of inertia response in wind power plants can be described in a format similar to conventional generator units by the swing equation, which is directly derived from Newton's law of motion on rotating objects. Due to this correlation between the virtual inertia of wind power plants and the real inertia of synchronous generation units, an inertia can be estimated for wind power plants in a format similar to conventional generators [11]. The characteristic inertia response can be represented by the swing equation, which describes the change between the axis of the rotor and the magnetic field.…”

Section: Methodology For the Inertia Estimationmentioning

confidence: 99%

“…On the other hand, wind turbine generators are decoupled from the grid by power electronic converters; thus, they do not directly contribute to system inertia [10], and large-scale penetration of non-inertial wind generators in the power system will result in reduced system inertia [11][12][13]. This reduction has a substantial impact on frequency regulation [14].…”

Section: Introductionmentioning

confidence: 99%

“…This paper improves and evaluates the methodology presented in [11] for the estimation of the inertia available in hydro and wind power plants based on the measurements obtained from PMUs. The methodology was modified using a fourth-order finite-difference approximation to calculate the second-order derivative of the swing equation, and the results obtained are way better.…”

Section: Introductionmentioning

confidence: 99%

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Inertia Estimation of Wind Power Plants Based on the Swing Equation and Phasor Measurement Units

et al. 2018

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High penetration of wind power plants may have an adverse impact on power systems’ stability by reducing the inertia, and problems like frequency stability could appear due to total inertia in the system being reduced, making the power system more vulnerable to disturbances. However, most recent grid codes include an emulation inertia requirement for wind power plants, because modern wind turbines are capable of providing virtual inertia through power electronic converter controls to improve frequency stability issues. Because of this, it is necessary that the inertia estimation analyze and quantify the impact of the inertia reduction in power systems. In this paper, an implementation of a methodology for the inertia estimation of wind power plants is presented. It is evaluated through synchrophasor measurements obtained from a Real-Time Digital Simulator (RTDS) implementation, using industrial Phasor Measurement Units (PMUs). This methodology is based on the swing equation. Furthermore, a comparison of the results obtained between two professional tools RSCAD and DIgSILENT PowerFactory is performed, in order to evaluate the accuracy and the robustness of the methodology. This methodology is applied for the inertia estimation of an equivalent of the southeast zone of the Mexican power system, where there is a large-scale penetration of wind power plants. The results demonstrate that this methodology can be applied in real power systems using PMUs.

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Section: Methodology For the Inertia Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Inertia Estimation of Wind Power Plants Based on the Swing Equation and Phasor Measurement Units

et al. 2018

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“…Grid-connected systems influence, power quality, like harmonics, frequency, and voltage changes [4]. Moreover, the fluctuating natural surroundings of solar and wind energies affect the consistency of the system.…”

Section: Introductionmentioning

confidence: 99%

Withdrawn

2020

IJRTE

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Solar and wind energy become auspicious electricity generation resources. Integrating these resources provide greater advantages, yet the power system quality is affected because of the varying nature of wind and solar energies that cause voltage problems, high harmonic distortion and less transient stability issues. To combat these problems, we proposed a five-legged harmonic remover based on time-invariant power converter, which initially converts alternative current (AC) obtained from the plant into direct current (DC) without any power loss using three-phase bridge rectifier. Then the high frequency component in DC is blocked by a nonlinear capacitor. Subsequently, the false current is removed using Fault current remover and sent to Diode based DC to AC converter for transforming DC into AC. Finally, the converted AC is passed over a bridge based c type filter to remove harmonics. By this way, the proposed system has achieved better power quality

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“…Therefore, the parameters of their generator equivalents that need to be used for balancing the load and assessing the dynamical stability will need to be determined from measurements. The dynamical parameters-such as the equivalent inertia of a windfarm-pose particular challenges because they are not observable in steady state [1]. Therefore they are likely to need more frequent data to capture even fast perturbations from whose transients they can be inverted.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Approach for Parameter Estimation With Uncertainty for Dynamic Power Systems

Petra

Zhang

et al. 2017

IEEE Trans. Power Syst.

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We address the problem of estimating the uncertainty in the solution of power grid inverse problems within the framework of Bayesian inference. We investigate two approaches, an adjoint-based method and a stochastic spectral method. These methods are used to estimate the maximum a posteriori point of the parameters and their variance, which quantifies their uncertainty. Within this framework we estimate several parameters of the dynamic power system, such as generator inertias, which are not quantifiable in steady-state models. We illustrate the performance of these approaches on a 9-bus power grid example and analyze the dependence on measurement frequency, estimation horizon, perturbation size, and measurement noise. We assess the computational efficiency, and discuss the expected performance when these methods are applied to large systems.

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Synchrophasor Measurement-Based Wind Plant Inertia Estimation

Cited by 27 publications

References 12 publications

Inertia Estimation of Wind Power Plants Based on the Swing Equation and Phasor Measurement Units

Inertia Estimation of Wind Power Plants Based on the Swing Equation and Phasor Measurement Units

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A Bayesian Approach for Parameter Estimation With Uncertainty for Dynamic Power Systems

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