The Adequacy of the Present Practice in Dynamic Aggregated Modeling of Wind Farm Systems

Kunjumuhammed, Linash; Pal, Bikash C.; Oates, Colin; Dyke, Kevin J.

doi:10.1109/tste.2016.2563162

Cited by 80 publications

(48 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature, various power electronic systems like wind power plants and microgrids have been modelled based on this approach [9,10]. However, as this method is not modular, it can be complex for large-scale power electronic systems [11]. In the linear time-periodic (LTP) systems, where there are couplings between different frequencies, a powerful analysis tool is the harmonic state-space (HSS) method [12,13].…”

Section: Introductionmentioning

confidence: 99%

Modelling and Stability Analysis of Wind Power Plants Connected to Weak Grids

et al. 2019

View full text Add to dashboard Cite

It is important to develop modelling tools to predict unstable situations resulting from the interactions between the wind power plant and the weak power system. This paper presents a unified methodology to model and analyse a wind power plant connected to weak grids in the frequency-domain by considering the dynamics of the phase lock loop (PLL) and controller delays, which have been neglected in most of the previous research into modelling of wind power plants to simplify modelling. The presented approach combines both dq and positive/negative sequence domain modelling, where a single wind turbine is modelled in the dq domain but the whole wind power plant connected to the weak grid is analysed in the positive/negative sequence domain. As the proposed modelling of the wind power plant is systematic and modular and based on the decoupled positive/negative sequence impedances, the application of the proposed methodology is relevant for transmission system operators (TSOs) to assess stability easily with a very low compactional burden. In addition, as the analytical dq impedance models of the single wind turbine are provided, the proposed methodology is an optimization design tool permitting wind turbine manufacturers to tune their converter control. As a case study, a 108 MW wind power plant connected to a weak grid was used to study its sensitivity to variations in network short-circuit level, X/R ratio and line series capacitor compensation (Xc/Xg).

show abstract

Section: Introductionmentioning

confidence: 99%

Modelling and Stability Analysis of Wind Power Plants Connected to Weak Grids

et al. 2019

View full text Add to dashboard Cite

show abstract

“…However, it has not been paid much attention to identify which power converters have more influence on the harmonic instability or which buses are affected more by the harmonic instability than others. A general approach for analyzing such stability is based on the state-space model, where the stability can be assessed by eigenvalue analysis of the state-space matrix [12]- [21]. In state-space modeling, the participation factor (PF) contribution of each state variable to the system stability can be calculated based on the eigenvectors of the state matrix [15]- [21].…”

mentioning

confidence: 99%

“…A general approach for analyzing such stability is based on the state-space model, where the stability can be assessed by eigenvalue analysis of the state-space matrix [12]- [21]. In state-space modeling, the participation factor (PF) contribution of each state variable to the system stability can be calculated based on the eigenvectors of the state matrix [15]- [21]. The state-space analysis has been applied in some systems such as inverter-based microgrid [14], active-rectifier-based microgrid [15], current source inverters [12], parallel-connected inverters [13], [18], and wind farms [19], [21].…”

mentioning

confidence: 99%

“…In state-space modeling, the participation factor (PF) contribution of each state variable to the system stability can be calculated based on the eigenvectors of the state matrix [15]- [21]. The state-space analysis has been applied in some systems such as inverter-based microgrid [14], active-rectifier-based microgrid [15], current source inverters [12], parallel-connected inverters [13], [18], and wind farms [19], [21]. However, in a large-scale power system with a high penetration of power electronic converters, there would be a lot of state variables, coming from the detailed models of power converter dynamics, loads, cables, transformers, etc., required.…”

mentioning

confidence: 99%

“…However, in a large-scale power system with a high penetration of power electronic converters, there would be a lot of state variables, coming from the detailed models of power converter dynamics, loads, cables, transformers, etc., required. Therefore, the formulation of the state matrices may become complicated in such large systems [21]- [23]. Apart from the state-space analysis, the impedancebased analysis approach is another powerful tool to predict the harmonic instability by calculating the ratio of the converter output impedance to the grid equivalent impedance at point of connection (PoC) of the converter [24]- [27].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Bus Participation Factor Analysis for Harmonic Instability in Power Electronics Based Power Systems

Ebrahimzadeh

Blaabjerg

Wang

et al. 2018

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

Compared with the conventional power systems, large-scale power electronics based power systems present a more complex situation, where harmonic instability may be induced by the mutual interactions between the inner control loops of the converters. This paper presents an approach to locate which power converters and buses are more sensitive and have a significant contribution to the harmonic instability. In the approach, a power electronics based system is introduced as a multi-input multi-output (MIMO) dynamic system by means of a dynamic admittance matrix. Bus participation factors (PFs) are calculated by the oscillatory mode sensitivity analysis versus the elements of the MIMO transfer function matrix. The PF analysis detects which power electronic converters or buses have a higher participation in harmonic instability excitation than others or at which buses such instability problems have a higher impact. In order to confirm the effectiveness of the presented approach, time-domain simulation results are provided for a 400-MW wind farm in PSCAD software environment.

show abstract

Modeling and analysis approaches for small‐signal stability assessment of power‐electronic‐dominated systems

Cheah-Mañé

Egea‐Àlvarez

Prieto‐Araujo

et al. 2022

WIREs Energy & Environment

View full text Add to dashboard Cite

The stability, operation, and control of power networks have been challenged due to the increased penetration of power electronic converters. New instability phenomena have appeared due to the interaction of the power converter controllers with other power network elements, including other power converters. Small-signal tools have been proved effective to identify and mitigate stability issues but their development is still ongoing. This article presents the state of the art on small-signal modeling and stability assessment of converterdominated networks. The modeling of converters and other power system components is reviewed, as well as the most common small-signal analysis techniques employed in conventional and modern power systems with power electronics. Two case studies are introduced to exemplify the modeling and stability analysis, employing some of the techniques presented in the article.

show abstract

The Adequacy of the Present Practice in Dynamic Aggregated Modeling of Wind Farm Systems

Cited by 80 publications

References 32 publications

Modelling and Stability Analysis of Wind Power Plants Connected to Weak Grids

Modelling and Stability Analysis of Wind Power Plants Connected to Weak Grids

Bus Participation Factor Analysis for Harmonic Instability in Power Electronics Based Power Systems

Modeling and analysis approaches for small‐signal stability assessment of power‐electronic‐dominated systems

Contact Info

Product

Resources

About