Effect of Wind Farm Spatial Correlation on Oscillation Damping in the WECC System

Silva-Saravia, Horacio; Pulgar-Painemal, Héctor

doi:10.1109/naps46351.2019.9000377

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…The potential of imposing inter-area oscillation damping control with wind power plants is studied in [16]. The effect of spatial correlation between wind speed of geographically close wind farms on the damping of electromechanical oscillations is examined in [17]. With the aid of the wide area measurement system, a wide area damping controller is designed for DIFGs to alleviate electromechanical oscillations [18].…”

Section: Introductionmentioning

confidence: 99%

Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-Based Wind Power Generation

Luo

Zhu

2020

Energies

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Previous studies generally consider that the full converter-based wind power generation (FCWG) is a “decoupled” power source from the grid, which hardly participates in electromechanical oscillations. However, it was found recently that strong interaction could be induced which might incur severe resonance incidents in the electromechanical dynamic timescale. In this paper, the participation of FCWG in electromechanical dynamics is extensively investigated, and particularly, an unusual transition of the electromechanical oscillation mode (EOM) is uncovered for the first time. The detailed mathematical models of the open-loop and closed-loop power systems are firstly established, and modal analysis is employed to quantify the FCWG participation in electromechanical dynamics, with two new mode identification criteria, i.e., FCWG dynamics correlation ratio (FDCR) and quasi-electromechanical loop correlation ratio (QELCR). On this basis, the impact of different wind penetration levels and controller parameter settings on the participation of FCWG is investigated. It is revealed that if an FCWG oscillation mode (FOM) has a similar oscillation frequency to the system EOMs, there is a high possibility to induce strong interactions between FCWG dynamics and system electromechanical dynamics of the external power systems. In this circumstance, an interesting phenomenon may occur that an EOM may be dominated by FCWG dynamics, and hence is transformed into a quasi-EOM, which actively involves the participation of FCWG quasi-electromechanical state variables.

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Section: Introductionmentioning

confidence: 99%

Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-Based Wind Power Generation

Luo

Zhu

2020

Energies

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“…As each wind farm pair is within 480 kilometres apart from each other, the correlation is moderately high between each wind farm pair. The importance of spatial correlation has been studied in [19,20], so such correlation will impact copula selection. It is expected that strong upper tail and central dependence will be captured.…”

Section: Methodsmentioning

confidence: 99%

Bayesian estimation of copula parameters for wind speed models of dependence

Henderson

Shahirinia

Bina

2021

IET Renewable Power Gen

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Modelling the uncertainty of wind speed is essential in power flow analysis. Having abundant knowledge of the wind speed in an area is critical. A low volume of data can increase uncertainty in wind speed analysis. Spatial dependencies are often modelled before running probabilistic power flow and load flow analysis. Copulas are a popular way of capturing spatial dependence between multiple wind farms. Using NREL data from seven Northeastern United States wind farm sites, Bayesian inference will be used to determine the copula parameter uncertainty between weekly, daily, and hourly wind speed observations. This approach will be used on elliptical and single parameter Archimedean copulas. For each possible wind farm pair, an uninformative prior will be placed on the copula parameter. The resulting posterior will contain a distribution of copula parameter values based on the prior and the observed wind speed data. The posterior's credible interval is reviewed to determine the uncertainty in parameter estimation. The results show that using a data volume considerably more petite than 8760 hourly data points will result in more uncertainty in parameter estimation and inaccuracies in wind speed forecasting if using non‐Bayesian methods for copula parameter estimation.

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“…The potential of imposing inter-area oscillation damping control with wind power plants is studied in [16]. The effect of spatial correlation between wind speed of geographically close wind farms on the damping of electromechanical oscillations is examined in [17]. With the aid of wide area measurement system, a wide area damping controller is designed for DIFGs to alleviate electromechanical oscillations [18].…”

Section: Introductionmentioning

confidence: 99%

Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-based Wind Power Generation

Luo¹,

Bu²

2020

Preprint

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Previous studies generally reckon that the full converter-base wind power generation (FCWG) is a ’decoupled’ power source from the grid, which hardly participates in electromechanical oscillations. However, it is found recently that strong interaction could be induced which might incur severe resonance incidents in electromechanical dynamic timescale. In this paper, the participation of FCWG in electromechanical dynamics is extensively investigated, and particularly, an unusual transition of electromechanical oscillation mode (EOM) is uncovered for the first time. The detailed mathematical models of open-loop and closed-loop power systems are firstly established, and modal analysis is employed to quantify the FCWG participation in electromechanical dynamics, with two new mode identification criteria, i.e., FCWG dynamics correlation ratio (FDCR) and quasi-electromechanical loop correlation ratio (QELCR). On this basis, the impact of different wind penetration levels and controller parameter settings on the participation of FCWG is investigated. It is revealed that if an FOM has a similar oscillation frequency to the system EOMs, there is a high possibility to induce strong interactions between FCWG dynamics and system electromechanical dynamics of the external power systems. In this circumstance, an interesting phenomenon may occur that an EOM may be dominated by FCWG dynamics, and hence is transformed into a quasi-EOM, which actively involves the participation of FCWG quasi-electromechanical state variables.

show abstract

Effect of Wind Farm Spatial Correlation on Oscillation Damping in the WECC System

Cited by 4 publications

References 20 publications

Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-Based Wind Power Generation

Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-Based Wind Power Generation

Bayesian estimation of copula parameters for wind speed models of dependence

Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-based Wind Power Generation

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