Adaptive notch filter under indirect and direct current controls for active power filter

Mohamad, Syahrul Hisham; Radzi, Mohd Amran Mohd; Mailah, Nashiren Farzilah; Wahab, Noor Izzri Abdul; Jidin, Auzani; Lada, Musa Yusup

doi:10.11591/eei.v9i5.2165

Cited by 7 publications

(5 citation statements)

References 28 publications

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“…] and 𝑤(𝑡) is described as process noise. At nonstationary deterministic condition the actual voltage signal is given in (8). Where ℎ(𝑡) is describes the actual voltage signal with respect to time and 𝛤(𝑡) is represents the measurement noise.…”

Section: Prototype Of State Spacementioning

confidence: 99%

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

Dayananda¹,

Mallikarjunaswamy²,

Nagaraju³

et al. 2022

IJPEDS

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The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter. Methods: A sinusoidal voltage signal with random Gaussian noise is applied to the Reconfigurable Euclidean detector (RED) evaluator. The MATLAB function randn() has been used to produce sequence distribution channel noise with mean value zero to analysed the amplitude variation with respect to evolution state variable. The detector noise rate is analysed with respect to threshold. The detection rate of various attacks such as DDOS, Random and false data injection attacks is also analysed. The proposed mathematical model is effectively reconstructed to frame the original sinusoidal signal from the evaluator state variable using reconfigurable Euclidean detectors.

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Section: Prototype Of State Spacementioning

confidence: 99%

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

Dayananda¹,

Mallikarjunaswamy²,

Nagaraju³

et al. 2022

IJPEDS

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“…The DC link capacitor voltage of the distributed DC-AC inverter should be controlled through a robust con-❒ ISSN: 2302-9285 trollers in order to enhance dynamics, which is prone to rapidly changing of climatic conditions as well as the power load variations. To cope with this problem, several control strategies have been reported in the literature [10]- [15]. Lu et al [16] proposed an enhanced model predictive direct power control for a grid-connected converters where, two voltage vectors are applied over a control period and their duty to optimize the benefit of the PV owners and satisfy the limits of the voltage variations simultaneously.…”

Section: Introductionmentioning

confidence: 99%

An enhanced control scheme for multifunctional grid connected PV system using fuzzy and predictive direct power control

Boukezata,

Chaoui,

Gaubert

et al. 2024

Bulletin EEI

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This paper presents a combination between a fuzzy logic control (FLC) and a predictive direct power control for multifunctional grid connected photovoltaic (PV) system, to solve the oscillation problem in the DC link voltage of the in-verter caused by the fast irradiation changing. The whole system consists of a PV system which interface a DC-AC inverter, a FLC maximum power point tracking (MPPT) algorithm has been adopted to operate the DC-DC converter at the MPP. The predictive control strategy is applied to the DC-AC inverter with FLC in its voltage control loop to improve the power exchange between the grid and the PV system. Simulation results have been verified through MATLAB/Simulink software for the purpose of giving the effectiveness of the suggested control against existed controllers.

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“…In three-phase networks to reduce harmonics and compensate reactive power [11]- [13], active power filters (APFs) are widely used. Many studies and applications in this field have been performed in various research [14]- [17].…”

Section: Introductionmentioning

confidence: 99%

Neural network controller for five phases shunt active power filter applied for five phase embarked electrical network

Laala

Amami

Rabhi

et al. 2023

IJPEDS

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This paper discusses neural network ANN controller applied for five phase shunt active power filter. Three-phase shunt active power filters are widely studied, however in this paper we investigate to extend their application to five phase embarked electrical network. Two-level five phase inverter is used as a shunt active power filter to reduce harmonics and compensate reactive power injected by a five-phase diode rectifier. An artificial neural network controller has been used to regulate the DC side of the inverter, thereby contributing to the calculation of the reference harmonic currents on the one side and controlling the injected harmonic currents on the other. Self-tuning filter (STF) is used to calculate the reference current. By using STF allow to extract the voltage and current fundamental components in the α-β-axis directly without the use of a phase-locked loop (PLL). Simulation results shows that the ANN controller presents appreciable performances in references tracking and the proposed five-phase shunt active power filter provides a sinusoidal supply current in phase with the line voltage with low harmonic distortion.

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Adaptive notch filter under indirect and direct current controls for active power filter

Cited by 7 publications

References 28 publications

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

An enhanced control scheme for multifunctional grid connected PV system using fuzzy and predictive direct power control

Neural network controller for five phases shunt active power filter applied for five phase embarked electrical network

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