Modelling and sensitivity analyses of equivalent models of low voltage distribution grids with high penetration of distributed generation

Erlinghagen, Philipp; Wippenbeck, Tilman; Schnettler, Armin

doi:10.1109/upec.2015.7339942

Cited by 2 publications

(1 citation statement)

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“…However, as the scale of the microgrid increases, the adaptability of this method is greatly limited. Reference [15] adopted the non-linear autoregressive method to construct the DGs integrated into the microgrid model by sampling the voltage data at the input port and the fault current at the output port, with up to 11 parameters to be identified.…”

Section: Introductionmentioning

confidence: 99%

Black-Box Behavioral Modeling of Voltage and Frequency Response Characteristic for Islanded Microgrid

Shi

et al. 2019

Energies

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The voltage and frequency response model of microgrid is significant for its application in the design of secondary voltage frequency controller and system stability analysis. However, most models developed for this aspect are complex in structure due to the difficult mechanism modeling process and are only suitable for offline identification. To solve these problems, this paper proposes a black-box modeling method to identify the voltage and frequency response model of microgrid online. Firstly, the microgrid system is set as a two-input, two-output black-box system and can be modeled only by data sampled at the input and output ports. Therefore, the simplicity of modeling steps can be guaranteed. Meanwhile, the recursive damped least squares method is used to realize the online model identification of the microgrid system, so that the model parameters can be adjusted with the change of the microgrid operating structure, which makes the model more adaptable. The paper analyzes the black-box modeling process of the microgrid system in detail, and the microgrid platform, including 100 kW rated power inverters, is employed to validate the analysis and experimental results.

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Section: Introductionmentioning

confidence: 99%