Adaptive Controller Based on Neural Network Artificial to Improve Three-phase Inverter Connected to the Grid

Gueye, D.; Ndiaye, Alphousseyni; Diao, Amadou

doi:10.1109/icrera49962.2020.9242740

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2021

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Cited by 2 publications

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“…The power injected into the grid must be of a high quality to satisfy grid regulations. In the grid-connected mode, the voltage is dictated by the grid, therefore the converter must inject high-quality current to achieve a high power quality [4], [5]. The challenge of controlling the current exchanged between the DER and the grid has received considerable attention in literature [6].…”

Section: Introductionmentioning

confidence: 99%

A New Modulated Model Predictive Current Controller with Reduced Computational Burden

Andrew

Ahmed

Holliday

2021

2021 9th International Conference on Smart Grid (icSmartGrid)

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Model Predictive Control (MPC) has been widely used for grid connected converters, due to its rapid dynamic response and easy inclusion of system constraints and nonlinearities. Existing finite control set MPC approaches suffer from variable switching frequency, whilst existing modulated MPC implementations suffer from a high computational burden. This paper proposes a new implementation of modulated MPC which offers half the computational burden whilst retaining identical performance. The proposed method is applied to a twolevel voltage source converter and its performance is compared to existing approaches in simulation. Experimental results are included to prove the reduced computational burden.

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Section: Introductionmentioning

confidence: 99%