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Sensorless Voltage Estimation for Total Harmonic Distortion Calculation Using Artificial Neural Networks in Microgrids

Behrooz Adineh, Mohammad Reza Habibi, Alper Nabi Akpolat, Frede Blaabjerg

2021IEEE Transactions on Circuits & Systems II Express Briefs32 citationsDOIOpen Access PDF

Abstract

In this brief, a sensorless voltage estimation approach for total harmonic distortion (THD) calculation is proposed to reduce number of voltage sensors in the microgrids. The intelligent proposed method provides a cost-effective and reliable voltage estimation and THD calculation of the desired bus in the multi-bus microgrid based on the artificial neural networks (ANNs). In the proposed method, the output voltage and current of distributed generation units along with the voltage of the desired bus are used to train the ANN offline. The trained ANN is then used to estimate the voltage and calculate both harmonic components, and THD online at the desired bus. The Simulation results show that the proposed approach can effectively estimate the voltage and calculate THD of buses in the multi-bus islanded microgrids.

Topics & Concepts

Total harmonic distortionMicrogridVoltageArtificial neural networkDistortion (music)Control theory (sociology)Computer scienceElectronic engineeringHarmonicEngineeringElectrical engineeringArtificial intelligenceAmplifierCMOSQuantum mechanicsPhysicsControl (management)Microgrid Control and OptimizationIslanding Detection in Power SystemsSmart Grid Energy Management
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