Dynamic Aggregation Modeling of Grid-Connected Inverters Using Hamilton's-Action-Based Coherent Equivalence

Zha, Xiaoming; Liao, Shuhan; Huang, Meng; Yang, Zezhou

doi:10.1109/tie.2019.2891439

Cited by 39 publications

(39 citation statements)

References 26 publications

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“…Model aggregation is a general method to obtain the equivalent system. Existing aggregation methods are mainly developed in inverter system [7]- [12] and the micro-grid system [13], [14]. Literatures [7]- [11] have proposed coherency criterion to group inverters with similar dynamic characteristic.…”

Section: Introductionmentioning

confidence: 99%

“…Existing aggregation methods are mainly developed in inverter system [7]- [12] and the micro-grid system [13], [14]. Literatures [7]- [11] have proposed coherency criterion to group inverters with similar dynamic characteristic. In [7], the Hamilton-action principle has been applied into inverter system to derive the coherency criterion for the grid-connected inverter cluster, which can also be used in the order reduction of inverter-interfaced wind farms and PV systems, but equivalent parameters of are given directly without theoretical analysis.…”

Section: Introductionmentioning

confidence: 99%

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Structure-Preservation Model Aggregation for Two-Stage Inverters Based Large-Scale Photovoltaic System

et al. 2020

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With the increasing penetration level of large-scale photovoltaic (PV) generator connected to the grid, an accurate simulation model is required for the dynamic analysis of the PV system. However, the detailed electromagnetic simulation of the large-scale system is complex and the dynamic response capability is estimated with obstacle caused by large computational burdens. Therefore, a precise dynamic aggregated model is indispensable for the displacement of the large-scale PV system. The structurepreservation based aggregated model with comprehensive equivalent parameters for large-scale PV system is proposed in this paper. A complete two-stage PV system model is established to analyze the dynamics of the system. Then, the aggregation method is obtained by comparing the dynamic equations of the detailed model with the aggregated model, which is based on the energy relationship in the PV system. Furthermore, four different case studies are considered including the aggregation of identical and different ten parallelconnected PV units both under the same irradiance condition, and the aggregation of different ten parallelconnected PV units under different irradiance and weak grid scenarios, where the aggregation models are obtained through the proposed equivalent modeling method. Finally, the effectiveness of the proposed aggregation method is verified by the simulation results from PSCAD/EMTDC platform, and the consistency between the aggregated model and the detailed model is confirmed under different disturbances of irradiance variation, and continuous symmetric and asymmetric grid faults.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structure-Preservation Model Aggregation for Two-Stage Inverters Based Large-Scale Photovoltaic System

et al. 2020

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“…In order to reduce the computation complexity, the common method is to establish an equivalent model for wind farm model reduction [7], and it is a key to cluster the same-feature wind turbines into a group and an equivalent single machine. In recent years, several wind turbine clustering algorithms have been proposed [8][9][10][11][12][13][14]. A model reduction method is proposed by a set of orthogonal modes from CFD (computational fluid dynamics) simulation [8]; however, the simulation time is too long for several wind turbines.…”

Section: Introductionmentioning

confidence: 99%

“…A model reduction method is proposed by a set of orthogonal modes from CFD (computational fluid dynamics) simulation [8]; however, the simulation time is too long for several wind turbines. An aggregated wind farm model is proposed by the average wind speed [9,10]. A wind turbine clustering algorithm is considered by Hankel singular values [11] or selective modal analysis [12].…”

Section: Introductionmentioning

confidence: 99%

“…A wind turbine clustering algorithm is considered by Hankel singular values [11] or selective modal analysis [12]. However, the wind speed at the downstream wind turbines is smaller than that at the upstream wind turbines in wind farms; this phenomenon is defined as wake effects, and these wind turbine clustering algorithms [9][10][11][12] are not considered wake effects of an offshore wind farm.…”

Section: Introductionmentioning

confidence: 99%

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Wind Turbine Clustering Algorithm of Large Offshore Wind Farms considering Wake Effects

Zhang

2019

Mathematical Problems in Engineering

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This paper proposed the SVD (singular value decomposition) clustering algorithm to cluster wind turbines into some group for a large offshore wind farm, in order to reduce the high-dimensional problem in wind farm power control and numerical simulation. Firstly, wind farm wake relationship matrixes are established considering the wake effect in an offshore wind farm, and the SVD of wake relationship matrixes is used to cluster wind turbines into some groups by the fuzzy clustering algorithm. At last, the Horns Rev offshore wind farm is analyzed to test the clustering algorithm, and the clustering result and the power simulation show the effectiveness and feasibility of the proposed clustering strategy.

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Heterogeneous Co-simulation of AC-DC Grids with Renewable Energy

Dinavahi

Lin

2021

Parallel Dynamic and Transient Simulation of Large-Scale Power Systems

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Dynamic Aggregation Modeling of Grid-Connected Inverters Using Hamilton's-Action-Based Coherent Equivalence

Cited by 39 publications

References 26 publications

Structure-Preservation Model Aggregation for Two-Stage Inverters Based Large-Scale Photovoltaic System

Structure-Preservation Model Aggregation for Two-Stage Inverters Based Large-Scale Photovoltaic System

Wind Turbine Clustering Algorithm of Large Offshore Wind Farms considering Wake Effects

Heterogeneous Co-simulation of AC-DC Grids with Renewable Energy

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