Power quality comparison of single-phase and three-phase inverter topologies for renewable energy systems

Sacli, Mert; Ayan, Onur; Silsüpür, Murat; Türkay, Belgin Emre

doi:10.12720/sgce.8.2.174-183

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…In relation to the utility frequency, the voltage ripple in DC distribution networks can be classified into first-, secons-, and kth-order ripple, where k represents an integer multiple of the utility frequency [25]. Since there are no established standards specifically for DC distribution systems, evaluating DC voltage ripple can be analogized to harmonics in AC systems.…”

Section: Voltage Ripplementioning

confidence: 99%

Classification Algorithm for DC Power Quality Disturbances Based on SABO-BP

Duan,

Cen,

et al. 2024

Energies

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To better address and improve the issues related to DC power quality, this paper proposes an identification method tailored for DC power quality disturbances. First, it explores the underlying mechanisms and waveform characteristics of common DC power disturbances. By integrating the results of time–frequency analysis obtained through the S-transform, five distinct features are designed and extracted to serve as classification indicators. The SABO algorithm is subsequently employed to optimize the BP neural network, assisting in determining the optimal input weights and hidden layer thresholds. This optimization technique helps prevent the network from becoming stuck in local minima, thereby enhancing its robustness and generalization capabilities. This paper presents a simulation system for AC/DC power systems to conduct experimental verification. The system simulates various DC power quality issues and monitors abnormal waveforms. According to the designated classification index, the features of simulated disturbance signals are extracted. The SABO-BP classification prediction model is then used to automatically classify and identify the samples. The experimental results demonstrate high accuracy in classification and identification using the proposed method. In comparison to the BP neural network method, the SABO-BP method demonstrates an 8.207% improvement in accurately identifying disturbance signals. It is capable of accurately identifying direct current power quality signals, thereby assisting in the evaluation and control of power quality issues.

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Section: Voltage Ripplementioning

confidence: 99%

Classification Algorithm for DC Power Quality Disturbances Based on SABO-BP

Duan,

Cen,

et al. 2024

Energies

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“…is implemented in industries application. The mathematical equation for the PI controller is given as (12) 3 Inverter Switching Techniques…”

Section: Pi Controllermentioning

confidence: 99%

“…The SPWM is realized by comparing the sine wave reference signal with high frequency triangular carrier signal that results in the inverter switching time instant, which generates the pulse sequence to drive the switching devices [11]. 5 shows the waveform of reference signal and carrier signal along with sequence of generated switching pulse The harmonic content in the inverter voltage output waveform is determined by the modulation index that is the ratio of the reference voltage to the carrier signal [12].Moreover, the frequency of reference signal determines the inverter output frequency and its peak amplitude determines the modulation index which in turn determines the RMS output voltage. The total harmonic distortion is relatively high in SPWM.…”

Section: Sinusoidal Pulse Width Modulationmentioning

confidence: 99%

Vector Control Algorithm Based on Different Current Control Switching Techniques for Ac Motor Drives

Usama

Kim

2020

E3S Web Conf.

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A comparative analysis of vector control scheme based on different current control switching pulses (HC, SPWM, DPWM and SVPWM) for the speed response of motor drive is analysed in this paper. The control system using different switching techniques, are comparatively simulated and analysed. Ac motor drives are progressively used in high-performance application industries due to small size, efficient performance, robust to torque response and high power to size ratio. A mathematical model of ac motor drives is presented in order to explain the numerical theory of motor drives. The vector control technique is utilized for efficient speed control of ac motor drive based on independent torque and air gap flux control. The study compares the total harmonic distortion contents of phase currents of ac motor drive and speed response in each case. The simulation result shows that total harmonic distortion across the phase current in SVPWM is less as compared to other switching techniques while the rise time in speed response across SVPWM technique is faster as compared to other switching methods. The simulation result of ac motor drives speed control is demonstrated in Matlab/Simulink 2018b.

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