Neuro Fuzzy based SSSC for Active and Reactive Power Control in AC Lines with Reduced Oscillation

Alkhayyat, Mahmood

doi:10.15199/48.2021.03.14

Cited by 6 publications

(6 citation statements)

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“…A better response of controller accomplished by employ Neuro-Fuzzy for adapting the functions of Fuzzy controller elements and also associated rules by utilize ANN learning algorithm. After it add fuzzy specific approach using the adaptive capabilities of learning of ANN, this type of system can be trained without a big amount of knowledge or expert commonly required for the standard type of fuzzy controller [25]. The result is reducing the rule base.…”

Section: Figure 6 Anfis Action Versus Voltage Supplymentioning

confidence: 99%

Power Transformer Inrush Current Minimization During Energization using ANFIS based Peak Voltage Tracking Approach

Alkhayyat,

Aiwa,

Alhfidh

et al. 2024

IJEER

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Energizing the power transformer at no load causes inrush current flow. The value of this current depends on main three factors, the residual and saturation flux of the transformer core, the rating of the transformer, and the switching instant. Inrush current may decrease the life of the transformer and causes mall function of the protective relays. Many efforts were done for limiting the inrush current using a current limiter or improve the core material to reduce residual flux. Other treating is to control energizing instance. This paper focused on controlling the instant of the transformer energization switch using fuzzy logic inference system. A new technique depends on adaptive seeking the crest of the voltage waveform. By this method there is no need to zero-crossing technique or phase looked loop. At this point, the flux of the core reaches the minimum value. Simulation and laboratory results show the success of this technique in reducing the inrush current. This technique gives the freedom to the operational engineering for energizing the power transformer at any time.

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Section: Figure 6 Anfis Action Versus Voltage Supplymentioning

confidence: 99%

Power Transformer Inrush Current Minimization During Energization using ANFIS based Peak Voltage Tracking Approach

Alkhayyat,

Aiwa,

Alhfidh

et al. 2024

IJEER

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Section: Control Design Based On Dwtmentioning

confidence: 99%

“…In this study, the Neuro-Fuzzy system employs a combination of "back-propagation and least square estimation" to estimate the parameters of (MFs) [30]. The main thing for data classification is to achieve fuzzy logic rules [30]. The controller inputs are three parameters: energy of details D4 and D5 and also the rms value of the original signal as shown in Fig.…”

Section: Control Design Based On Dwtmentioning

confidence: 99%

Archives of Electrical Engineering

Suliman,

Alkhayyat

2021

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Detecting high impedance faults (HIFs) is one of the challenging issues for electrical engineers. This type of fault occurs often when one of the overhead conductors is downed and makes contact with the ground, causing a high-voltage conductor to be within the reach of personnel. As the wavelet transform (WT) technique is a powerful tool for transient analysis of fault signals and gives information both on the time domain and frequency domain, this technique has been considered for an unconventional fault like high impedance fault. This paper presents a new technique that utilizes the features of energy contents in detail coefficients (D4 and D5) from the extracted current signal using a discrete wavelet transform in the multiresolution analysis (MRA). The adaptive neurofuzzy inference system (ANFIS) is utilized as a machine learning technique to discriminate HIF from other transient phenomena such as capacitor or load switching, the new protection designed scheme is fully analyzed using MATLAB feeding practical fault data. Simulation studies reveal that the proposed protection is able to detect HIFs in a distribution network with high reliability and can successfully differentiate high impedance faults from other transients.

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“…Three-phase alternating current must be synchronized with the network in voltage, frequency, and phase parameters. Renewable resources are connected to the grid system by using PV-STATCOM [3][4][5]. Frederico T.…”

Section: Introductionmentioning

confidence: 99%

“…A. Imam (2020 ) The simulation resultsshow compensation for the current distortion of the source under different loading conditions [5]. In previous research, the design and characteristics of the appropriate STATCOM were studied to be added to the feeder ring of thecity of Mosul [13].…”

Section: Introductionmentioning

confidence: 99%

Mitigation of Total Harmonic Distortion and Power Factor Improvement Based PVSTATCOM

AL-Ani¹,

Al-Hafidh²

2023

(AREJ)

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The increasing use of power-electronics equipment has led to various power quality problems, including current wave distortion . Also, renewable energies (solar and wind energy ) are increasingly used to supply part of the electrical load,especially Photovoltaic (PV). The use of PV-STATCOM achieves many benefits, among them mitigating the distortion of the current wave , improving the power factor , compensatingthe active and reactive power , and improving the system 's stability. This paper deals with mitigating current wave distortion and improving power factors together. This paper designs a STATCOM Modular Multilevel Converter (MMC) controller with combines reactive power compensation and harmonicsmitigation for linear load and proposed a simulated six pulse three-phase rectifier as nonlinear load. The pulses gate of theswitches of the sub -modular converter has been obtained by using a proportional -integral (PI) current controller with d-q references. The time-domain-based reference method for the reference current extraction is adopted. MMCSTATCOM were simulated with proposed nonlinear model loads in MATLAB . The simulation result showed that the developed MMCSTATCOM minimizes the total harmonic distortion below the standards recommended by the IEEE.

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Neuro Fuzzy based SSSC for Active and Reactive Power Control in AC Lines with Reduced Oscillation

Cited by 6 publications

References 0 publications

Power Transformer Inrush Current Minimization During Energization using ANFIS based Peak Voltage Tracking Approach

Power Transformer Inrush Current Minimization During Energization using ANFIS based Peak Voltage Tracking Approach

Archives of Electrical Engineering

Mitigation of Total Harmonic Distortion and Power Factor Improvement Based PVSTATCOM

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