Model aggregation of large wind farms for dynamic studies

Martínez-Turégano, Jaime; Añó-Villalba, S.; Chaques-Herraiz, G.; Bernal-Perez, S.; Blasco-Gimenez, R.

doi:10.1109/iecon.2017.8216057

Cited by 6 publications

(9 citation statements)

References 6 publications

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“…For analysis of the internal stability of multi-converter systems, detailed models are considered [30], whereas aggregated models are often used to investigate the impact that a wind farm or large-scale system has on the connected power system [31]. The aggregation procedure usually involves developing an aggregated representation of the converters (either single-machine or multi-machine representation), an equivalent impedance preserving the power flow of the system, and an equivalent representation of the stochastic energy yield [32], [33]. For aggregation, single-turbine aggregation is often considered insufficient in terms of accuracy, which is why multi-machine aggregation is usually performed for transient studies [34].…”

Section: A Model Aggregationmentioning

confidence: 99%

Reduced-Order and Aggregated Modeling of Large-Signal Synchronization Stability for Multiconverter Systems

Taul

Wang

Blaabjerg

2021

IEEE J. Emerg. Sel. Topics Power Electron.

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During severe grid faults, grid-following converters may become unstable and experience loss of synchronization when complying with requirements for low-voltage ride-through capability. This phenomenon is well-described, understood, and modeled for single-converter systems but lacks a modeling framework when extended to multi-converter systems. To fill this gap, this work presents the necessary stability conditions and aggregated reduced-order models for different multi-converter configurations, which can be used to assess the transient synchronization stability of grid-following converters under symmetrical grid faults. The necessary conditions for transient stability and the aggregated models are verified through numerous simulation studies, which verify their high accuracy for large-signal synchronization stability assessment. To that end, the Anholt wind power plant is considered as a case study where the aggregated model is compared to the full operation of a wind farm string containing 9 full-order grid-following converter models. High model accuracy is obtained, and the computational burden associated with the proposed model is reduced with a factor of 100 compared to a full-order representation on the tested system. Accordingly, the presented analysis and proposed modeling are attractive as a screening tool and a convenient approach for early-stage fault analysis of a system design.

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Section: A Model Aggregationmentioning

confidence: 99%

Reduced-Order and Aggregated Modeling of Large-Signal Synchronization Stability for Multiconverter Systems

Taul

Wang

Blaabjerg

2021

IEEE J. Emerg. Sel. Topics Power Electron.

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“…The system under study is shown in Figure 3. It consisted of three 400-MW WPPs connected to the on-shore network through a diode rectifier-based HVDC link [1,14].…”

Section: Hvdc Diode Rectifier-connected Wind Power Plantmentioning

confidence: 99%

“…The rectifier stations were connected by means of the HVDC cable to the onshore VSC station, as shown in Figure 3. Each DR station consisted of two 12-pulse DR bridges, together with the corresponding transformers and AC filters [14].…”

Section: Hvdc Diode Rectifier-connected Wind Power Plantmentioning

confidence: 99%

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Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction

et al. 2019

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This paper presents an aggregation technique based on the resolution of a multi-objective optimization problem applied to the admittance model of a wind power plant (WPP). The purpose of the presented aggregation technique is to reduce the order of the wind power plant model in order to accelerate WPP simulation while keeping a very similar control performance for both the simplified and the detailed models. The proposed aggregation technique, based on the admittance model order reduction, ensures the same DC gain, the same gain at the operating band frequency, and the same resonant peak frequency as the detailed admittance model. The proposed aggregation method is validated considering three 400-MW grid-forming Type-4 WPPs connected to a diode rectifier HVDC link. The proposed aggregation technique is compared to two existing aggregation techniques, both in terms of frequency and time response. The detailed and aggregated models have been tested using PSCAD-EMTsimulations, with the proposed aggregated model leading to a 350-fold reduction of the simulation time with respect to the detailed model. Moreover, for the considered scenario, the proposed aggregation technique offers simulation errors that are, at least, three-times smaller than previously-published aggregation techniques.

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“…The aggregated modelling of WPP has been studied extensively in the past [3,5], and is often used to analyze the impact of a wind farm on the external power system [6]. Wind farm aggregation typically includes an aggregated representation of the wind turbine converters, an equivalent simplified model for the collector system cable impedances, and an aggregated representation of the incoming wind speeds [7,8]. The wind turbines are often aggregated as single‐machine or multimachine equivalents, where clustering of the multimachine equivalent can be accomplished in numerous ways, including K ‐means clustering [9], multiobjective optimization algorithm [10], support vector clustering [11], a simple clustering based on grouping of wind speeds [12], or clustering through coherency equivalence [13,14].…”

Section: Introductionmentioning

confidence: 99%

Influence of phase‐locked loop aggregation on the dynamic aggregation of wind farm strings with heterogeneous parameters

Taul

Wang

Blaabjerg

2021

IET Energy Syst Integration

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Offshore wind farms are cornerstone solutions for enabling large‐scale integration of renewable energy. Due to the large number of wind turbines in a wind farm, each with their individual complex control structure, a detailed time‐domain model for analysis of wind farms is impractical from a computational burden perspective. Accordingly, aggregated models have been presented to reduce the computation time. Despite the high activity in aggregated modelling of wind farms, dynamic aggregation considering heterogeneous converter controllers and filter parameters, including different phase‐locked loop (PLL) parameters have not been discussed previously. To remedy this issue, this study proposes an aggregated structure‐preserving model of a wind farm string where all converters have heterogeneous parameters. The proposed model is verified by simulations against a detailed numerical model of the wind farm string, showing its accuracy in preserving the wind farm string dynamics under a severe grid fault with different short‐circuit ratios and PLL parameters. Through a comparison of four different PLL aggregation methods under the considered case studies, it is found that the PLL aggregation has a negligible influence on the aggregated response and, hence, the particular aggregation method employed is not of great importance.

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Model aggregation of large wind farms for dynamic studies

Cited by 6 publications

References 6 publications

Reduced-Order and Aggregated Modeling of Large-Signal Synchronization Stability for Multiconverter Systems

Reduced-Order and Aggregated Modeling of Large-Signal Synchronization Stability for Multiconverter Systems

Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction

Influence of phase‐locked loop aggregation on the dynamic aggregation of wind farm strings with heterogeneous parameters

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