2022
DOI: 10.3390/math10121989
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Implementation of ANN Controller Based UPQC Integrated with Microgrid

Abstract: This study discusses how to increase power quality by integrating a unified power quality conditioner (UPQC) with a grid-connected microgrid for clean and efficient power generation. An Artificial Neural Network (ANN) controller for a voltage source converter-based UPQC is proposed to minimize the system’s cost and complexity by eliminating mathematical operations such as a-b-c to d-q-0 translation and the need for costly controllers such as DSPs and FPGAs. In this study, nonlinear unbalanced loads and harmoni… Show more

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Cited by 12 publications
(2 citation statements)
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“…Subsequently, it was proposed to use multilevel UPQC with neural network-based signal generation to address PQ problems and do away with intricate p-q transformations [3]. To address the PQ problems and get rid of complicated p-q shifts, the UPQC in conjunction with the solar energy storage system with neural network-based signal production was developed [4]. In order to reduce the voltage and current THD, the fuzzy-based back propagation approach was also used for DLCV and reference signal generation [5].…”
Section: Introductionmentioning
confidence: 99%
“…Subsequently, it was proposed to use multilevel UPQC with neural network-based signal generation to address PQ problems and do away with intricate p-q transformations [3]. To address the PQ problems and get rid of complicated p-q shifts, the UPQC in conjunction with the solar energy storage system with neural network-based signal production was developed [4]. In order to reduce the voltage and current THD, the fuzzy-based back propagation approach was also used for DLCV and reference signal generation [5].…”
Section: Introductionmentioning
confidence: 99%
“…An unbalanced voltage supply also introduces an essential challenge for rectifier control [ 14 , 15 ]. The main problem is the current waveform imposed by the rectifier control.…”
Section: Introductionmentioning
confidence: 99%