Review of Fundamental Active Current Extraction Techniques for SAPF

Baroš, Jan; Sotola, Vojtech; Bilík, Petr; Martínek, Radek; Jaroš, René; Danys, Lukáš; Simonik, Petr

doi:10.3390/s22207985

Cited by 13 publications

(8 citation statements)

References 142 publications

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“…(5) Distortion of the power supply may result in interference with sensitive loads. (6) Causing interference on communication networks and telephone lines [23], [24].…”

Section: Theoretical Foundations and Hypothesis Developmentmentioning

confidence: 99%

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

2023

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The world today is increasingly dependent directly or indirectly on the power system. Ensuring the quality of power supplied to electrical equipment is essential. The national regulatory framework is for harmonic mitigation in the global power system. This paper discusses the relationship between Efficiency (E), Security (S), and Reliability (R) for Electric Power Quality (EPQ). We measure the harmonic mitigation regulations listed in the IEEE 519 standard. To evaluate the proposed E, S, and R constructs and their relationship to EPQ, a multi-planning approach the method of Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Deep Learning Artificial Neural Network (ANN) analysis were performed. In it, deep Learning Artificial Neural Network (ANN) was performed to complement the PLS-SEM findings and higher prediction accuracy. The study shows that the aspects of efficiency (E), security (S), and reliability (R) have a significant relationship with Electric Power Quality (EPQ). Another result of the study indicates that science, technology, engineering and math (STEM) resource conditions have a significant and positive impact on EPQ.

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“…(5) Distortion of the power supply may result in interference with sensitive loads. (6) Causing interference on communication networks and telephone lines [23], [24].…”

Section: Theoretical Foundations and Hypothesis Developmentmentioning

confidence: 99%

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

2023

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“…Multi-objective optimization is notably complex since objectives often conflict with each other, requiring a trade-off to be established. As a result, solutions obtained through multi-objective optimization represent Evolution-based algorithms, inspired by natural evolution, and are utilized to generate populations for algorithmic solutions [11,12]. These algorithms involve creating individuals through processes such as mutation, crossover, or selection of the best solutions from a mathematical model [13].…”

Section: Optimization Techniques Taxonomy In Reduction Of Thdmentioning

confidence: 99%

Perspective Chapter: Mitigation of Power System Harmonics with the Incorporation of Active Filter for a Radial Distribution System

Ramrao,

Hemanth Kumar,

Sandhya

et al. 2023

Power Quality and Harmonics Management in Modern Power Systems

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Harmonics in power systems can cause various problems, including equipment damage, power quality degradation, and increased losses. Active filters have been proven to be an effective solution for mitigating harmonics in power systems. In this research work, the effectiveness of active filters in reducing harmonics is evaluated in MATLAB environment by implementing sparrow search optimization technique. To carry out the simulation results a standard IEEE 13 bus test system and unbalanced power system is considered to meet the IEEE 519 standards. The obtained simulation results demonstrate the significant reduction of harmonics with incorporation of active filters. The obtained simulation results show that hybrid active filter provides the best harmonic mitigation performance. The analysis shows that the use of active filters is economically feasible for reducing harmonics in power systems. Finally, this book chapter provides valuable insights into the application of active filters for power system harmonics mitigation and can help power system engineers and operators to improve the quality and reliability of their systems by implementing Sparrow search optimization technique.

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“…The performance of SAPFs are depends on the control methods, harmonic detection algorithms; in [13] a pq theory is used to extract harmonics of nonlinear loads and regulate the dc capacitor voltage of, in [14] an active power filter and multicellular topology are used with sliding mode control. In order to exploit the advantageous of neural networks, in [15][16][17][18][19] artificial neural network is applied to three phase shunt active power filter in order to reduce calculation time in estimation of harmonic components. In [20] an artificial neural network method used to drive shunt active power filter for minimizing the harmonic currents in industrial systems, and in [21] the obtained results show the effectiveness of hysteresis current control to compensate reactive power and mitigate harmonics using shunt active power filter.…”

Section: Introductionmentioning

confidence: 99%

Self-adaptive fault-tolerant control strategy of shunt active power filter based on multicellular converter

Bouhafs,

Rouabah,

Kafi

et al. 2023

Diagnostyka

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The use of multicellular topology in power quality enhancement can reduce the power loss and also dv/dt of power switches, minimize the electromagnetic interference. However, the failure of flying capacitors can reduce the active filtering efficiency and affect the power quality by injecting currents with wave-form distortion (harmonics, notching, noises etc.) in power distribution grid. Therefore, this study presents a faulttolerant control strategy (FTC) allowing to keep the normal operation conditions of a multicellular converter even under failure mode. The obtained results show that the proposed FTC strategy enhances the power quality of power distribution grid when a fault in flying capacitors occurs.

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Review of Fundamental Active Current Extraction Techniques for SAPF

Cited by 13 publications

References 142 publications

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

Analysis of Factors Affecting Electric Power Quality: PLS-SEM and Deep Learning Neural Network Analysis

Perspective Chapter: Mitigation of Power System Harmonics with the Incorporation of Active Filter for a Radial Distribution System

Self-adaptive fault-tolerant control strategy of shunt active power filter based on multicellular converter

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