A Refined Frequency Scan Approach to Sub-Synchronous Control Interaction (SSCI) Study of Wind Farms

Ren, Wei; Larsen, E.V.

doi:10.1109/tpwrs.2015.2501543

Cited by 101 publications

(59 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, Gv and Gi in [2] will not have the same response in the off-diagonal elements in Zpn in the two models. If this modeling choice is disregarded, the following equivalence can be established by visual comparison: (22) In other words, the model derived in [2] is obtained by transforming the model in [3] through (12).…”

Section: Discussionmentioning

confidence: 99%

“…The same domain has been applied by others in [2], [22]- [24]. It is also remarked that the 2x2 modified impedance domain matrix has similarities to the method involving complex transfer matrices in [25], especially concerning the definition of dq unsymmetric systems.…”

Section: Impedance Model In the Modified Sequence Domain -A Bridgementioning

confidence: 95%

“…The analytical VSC-model in the modified sequence domain was derived in [2]. Application of the modified sequence domain to low frequency interactions in wind farms is performed in [22], while a VSC-HVDC system is analyzed in [23].…”

mentioning

confidence: 99%

See 2 more Smart Citations

On the Equivalence and Impact on Stability of Impedance Modeling of Power Electronic Converters in Different Domains

Rygg

Molinas

Zhang

et al. 2017

IEEE J. Emerg. Sel. Topics Power Electron.

108

View full text Add to dashboard Cite

Abstract-Small-signal analysis of power electronic converters and systems is often carried out by impedance-based methods. At the core of these methods lies the impedance modelling, which can either be obtained through analytical calculations, simulations or measurements. The impedance models can be obtained into two main domains -the dq-domain and the sequence domain. In the dq-domain the impedance model is a 2x2 matrix, while in the sequence domain it is composed by the positive and negative sequence impedance. Recently, a third domain called the modified sequence domain was defined as an extension to the sequence domain, but also with clear similarities to the dq-domain. The objective of this paper is to unambiguously relate to each other the impedances in these three domains, and to show how this equivalence translates into their respective stability assessments. It is also proven that the sequence domain impedance has the same marginal stability condition as the dq-domain impedance matrix.The three-phase Voltage Source Converter is used as an example converter in this paper, as its impedance model in all three domains is well established and reported by previous research. The results in this paper shows that the modified sequence domain model can be derived from the dq-domain model (and vice versa), and that the stability analysis will be identical in these two domains. It is also shown how the original sequence domain model can be derived from the two other models through a model reduction. However, a small discrepancy between the two Nyquist plots is observed in the presence of components such as phase lock loop or DC-link control.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Impedance Model In the Modified Sequence Domain -A Bridgementioning

confidence: 95%

See 1 more Smart Citation

On the Equivalence and Impact on Stability of Impedance Modeling of Power Electronic Converters in Different Domains

Rygg

Molinas

Zhang

et al. 2017

IEEE J. Emerg. Sel. Topics Power Electron.

108

View full text Add to dashboard Cite

show abstract

“…The first SSCI accident caused by an interaction between the rotor-side converter and the fixed string compensation system of the doubly-fed induction generator (DFIG) happened in Texas (USA). It resulted in damage to the wind turbines and internal lever circuits [5].…”

Section: Introductionmentioning

confidence: 99%

Correlation Analysis between Wind Speed/Voltage Clusters and Oscillation Modes of Doubly-Fed Induction Generators

Miao

Xie

et al. 2018

Energies

View full text Add to dashboard Cite

Potential machine-grid interactions caused by large-scale wind farms have drawn much attention in recent years. Previous work has been done by analyzing the small-signal modeling of doubly-fed induction generators (DFIGs) to obtain the oscillation modes. This paper, by making use of the metered power data of wind generating sets, studies the correlation between oscillation modes of the DFIG system and influence factors which includes wind speed and grid voltage. After the metered data is segmented, the Prony algorithm is used to analyze the oscillation modes contained in the active power. Then, the relevant oscillation modes are extracted in accordance with the small-signal analysis results. Meanwhile, data segments are clustered according to wind speed and grid voltage. The Apriori algorithm is finally used to discuss the association rules. By training the mass of data of wind generating sets, the inevitable association rules between oscillation modes and influence factors can be mined. Therefore, the prediction of oscillation modes can be achieved based on the rules. The results show that the clustering number quite affects the association rules. When the optimal cluster number is adopted, part of the wind speed/voltage clusters can analyze the certain oscillation modes. The predicted results are quite consistent with the practical data.Energies 2018, 11, 2370 2 of 21 (doubly-fed) induction motor wind turbine, providing a lot of flexibility for wind turbines and their controllers. In [7], a small-signal model of the direct-drive permanent magnet synchronous generator is established to study the stability of the grid-connected wind generating sets after the small disturbance, and the parameters of the controller are designed effectively. Reference [8] aimed at the suppression of torsional vibrations caused by small electrical disturbances from the grid side in a DFIG-based wind turbine system. The Prony algorithm is a complementary method used in the time-domain model system. It decomposes time-domain signals into damped sinusoids with four parameters per mode: frequency, damping, amplitude and phase. Compared with small-signal analysis, the Prony analysis shows an advantage when the system turns complicated because the former has difficulty solving high-order matrix [9,10]. All the papers above investigated the wind power oscillation mechanism and suppression method by modeling methods. However, the operation of wind generating sets is affected by factors which are more complex than the modeling simulation. A more direct and convenient way is to directly use the metered data.With the advent of the big data era, the vast amounts of data collected from wind farms conceals vast information [11]. Data mining and machine learning theory including correlation analysis, cluster analysis, classification analysis, have brought new ideas to power research [12]. Among them, the Apriori algorithm, one of the correlation algorithms, provides an effective solution for exploring the association relationship between large dat...

show abstract

“…In literature [8], a fuzzy control strategy of energy storage based on load level and wind speed is proposed when the transmission capacity of the line is limited. literature [9] proposes a series parallel parallel ultracapacitor system based on a unified control strategy to improve the stability of grid connected wind farm output. The energy storage system can smooth the power output of the wind farm under the strong wind speed disturbance, and reduce the impact of the wind farm on the grid.…”

Section: Introductionmentioning

confidence: 99%

A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

Cheng¹,

Qian²

2017

Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

View full text Add to dashboard Cite

Abstract. Based on the frequency control of power system with wind turbine, this paper proposed a general model for energy storage system. On this basis, a method of power network frequency control based on particle swarm optimization (PSO) is proposed. By finding the optimal location of the particles, the optimal control parameters for the current grid are obtained. The performance of the proposed approach is tested on the IEEE-39 bus system. Experimental results indicate that the PSO algorithm can provide the optimal PI controller with proportional and integral parameters. The frequency fluctuation which is caused by wind farm can be obviously reduced. And the traditional problem of controller parameters misalignment can be solved.

show abstract

A Refined Frequency Scan Approach to Sub-Synchronous Control Interaction (SSCI) Study of Wind Farms

Cited by 101 publications

References 12 publications

On the Equivalence and Impact on Stability of Impedance Modeling of Power Electronic Converters in Different Domains

On the Equivalence and Impact on Stability of Impedance Modeling of Power Electronic Converters in Different Domains

Correlation Analysis between Wind Speed/Voltage Clusters and Oscillation Modes of Doubly-Fed Induction Generators

A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

Contact Info

Product

Resources

About