High‐fidelity large‐signal order reduction approach for composite load model

Ma, Zixiao; Wang, Zhaoyu; Zhao, Dongbo; Cui, Bai

doi:10.1049/iet-gtd.2020.0972

Cited by 4 publications

(1 citation statement)

References 21 publications

(31 reference statements)

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“…Typically, the hyperbolic tangent function (tanh) is used as SFU for saturation and dead-band. Several tanh-based SFU approaches have been used to calculate power flows in microgrids [16], to design non-smooth system controllers [17], [18] and to obtain mathematical representations of non-smooth models [19], [20]. SFU can represent the non-smooth nonlinear functions in the aggregated models of inverter-dominated power systems, which is useful for theoretical studies such as stability analysis, parameter identification, and order reduction [20].…”

Section: Introductionmentioning

confidence: 99%

Smooth Mathematical Representation of the DER_A Aggregated Model

Vasquez-Plaza,

Scarpetta,

Hansen

et al. 2023

IEEE Access

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System dynamic models for hundreds of inverter-based generators are necessary to represent the whole behavior and to perform stability analysis at the transmission and distribution level in the electric power system. Aggregated models such as DER_A and PVD1 have been proposed, however, they have many parameters and there is currently no methodology to parameterize them. Many of the parameterization methods for this type of model require only smooth functions. Because these models have non-linear blocks, such as saturation and dead-band functions, this paper proposes a smooth mathematical representation of the DER_A aggregated model. The proposed smooth mathematical representation uses a novel smooth function proposed to represent the saturation function and further uses a proposed method to obtain a smooth dead-band function from the proposed smooth saturation function. Finally, the impact of the use of smooth functions on the dynamics of the DER_A model states is experimentally presented and it is also demonstrated by means of electrical signals that the proposed smooth mathematical representation can represent the dynamics of the aggregated DER_A model, paving a way for future research on parameter identification and stability assessment of the aggregated inverter-based generation models. INDEX TERMS Aggregated inverter-based generation model, DER_A model, mathematical representation, smooth saturation function, smooth dead-band function.

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Section: Introductionmentioning

confidence: 99%

Smooth Mathematical Representation of the DER_A Aggregated Model

Vasquez-Plaza,

Scarpetta,

Hansen

et al. 2023

IEEE Access

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Aggregate data‐driven dynamic modeling of active distribution networks with DERs for voltage stability studies

Subedi,

Vasquez‐Plaza,

Andrade

et al. 2024

IET Renewable Power Gen

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Electric distribution networks increasingly host distributed energy resources based on power electronic converter (PEC) toward active distribution networks (ADN). Despite advances in computational capabilities, electromagnetic transient models are limited in scalability because of their reliance on exact data about the distribution system and each of its components. Similarly, the use of the DER_A model, which is intended to examine the combined dynamic behavior of many DERs, is limited by the difficulty in parameterization. There is a need for improved dynamic models of DERs for use in large power system simulations for stability analysis. This paper proposes an aggregate model‐free, data‐driven approach for deriving a dynamic partitioned model (DPM) of ADNs. Detailed residential distribution feeders were first developed, including PEC‐based DERs and composite load models (CMLDs), from which the aggregated DPM was derived. The performance was evaluated through various case studies and validated against the detailed ADN model and state‐of‐the‐art DER_A model with CMLD. The data‐driven DPM achieved a of over 90%, accurately representing the aggregated dynamic behavior of ADNs. Furthermore, the DPM significantly accelerated the simulation process with a computational speedup of 68 times compared to the detailed ADN and a 3.5 times speedup compared to the DER_A CMLD model.

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Parameter Reduction of Composite Load Model Using Active Subspace Method

Cui

Wang

et al. 2021

IEEE Trans. Power Syst.

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High‐fidelity large‐signal order reduction approach for composite load model

Cited by 4 publications

References 21 publications

Smooth Mathematical Representation of the DER_A Aggregated Model

Smooth Mathematical Representation of the DER_A Aggregated Model

Aggregate data‐driven dynamic modeling of active distribution networks with DERs for voltage stability studies

Parameter Reduction of Composite Load Model Using Active Subspace Method

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