scholarly journals Mathematical Modeling of THD Mitigation Using HAPF for UPS System with Experimental Analysis via Hybrid Interface of Optical USB and Power Quality Meter

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Mahender Kumar ◽  
M. A. Uqaili ◽  
Z. A. Memon ◽  
Bhagwan Das
Keyword(s):  
Power Quality ◽  
Power Supply ◽  
Harmonic Distortion ◽  
Control Technique ◽  
Nonlinear Load ◽  
Power Theory ◽  
Hybrid Active Power Filter ◽  
Analysis Scheme ◽  
Hysteresis Control ◽  
Hybrid Interface

This paper discusses a novel analysis scheme based on the hybrid interface of Optical USB and Power Quality Meter for measuring Total Harmonic Distortion (THD) that exists in the Uninterruptable Power Supply (UPS) system and connected load. The designed hybrid interface experimentally analyzes the power quality and harmonics of the Uninterrupted Power Supply (UPS) system, and mitigation is proposed with the proposed Single-Phase Hybrid Active Power Filter (HAPF) based on instantaneous Power Theory (PQ) with hysteresis control technique and synchronous frame reference (DQ) with hysteresis control techniques at nonlinear load. This study authenticates and gives appropriate measurements in analyzing the harmonics and voltage distortion during conversion of power. The designed work offers the compensation and elimination of harmonic currents using PQ and DQ theory at different nonlinear loads. The proposed HAPF for the UPS system has demonstrated the significant reduction in THD using proposed Power Theory (PQ) with hysteresis control technique from 46.58% to 1.51% and by using DQ theory with hysteresis control technique has reduced THD from 46.58% to 1.38%. Finally, the results are compared between PQ and DQ. It is validated via results that DQ theory eliminated harmonics and also having less THD as compared to PQ-theory. Furthermore, one of the key aspects of the work is the analysis of power quality using Optical USB Interface (OC4USB) and FLUKE series power quality analyzer.

scholarly journals An Advanced Control Technique for Power Quality Improvement of Grid-Tied Multilevel Inverter

2021 ◽  
Vol 13 (2) ◽  
pp. 505
Author(s):  
Sumaya Jahan ◽  
Shuvra Prokash Biswas ◽  
Md. Kamal Hosain ◽  
Md. Rabiul Islam ◽  
Safa Haq ◽  
...  
Keyword(s):  
Power Quality ◽  
Harmonic Distortion ◽  
Multilevel Inverter ◽  
Control Technique ◽  
Solar Pv ◽  
Pv System ◽  
Reference Tracking ◽  
Proportional Integral ◽  
Lead Compensator ◽  
Power Quality Improvement

The use of different control techniques has become very popular for controlling the performance of grid-connected photovoltaic (PV) systems. Although the proportional-integral (PI) control technique is very popular, there are some difficulties such as less stability, slow dynamic response, low reference tracking capability, and lower output power quality in solar PV applications. In this paper, a robust, fast, and dynamic proportional-integral resonance controller with a harmonic and lead compensator (PIR + HC + LC) is proposed to control the current of a 15-level neutral-point-clamped (NPC) multilevel inverter. The proposed controlled is basically a proportional-integral resonance (PIR) controller with the feedback of a harmonic compensator and a lead compensator. The performance of the proposed controller is analyzed in a MATLAB/Simulink environment. The simulation result represents admirable performance in terms of stability, sudden load change response, fault handling capability, reference tracking capability, and total harmonic distortion (THD) than those of the existing controllers. The responses of the inverter and grid outlets under different conditions are also analyzed. The harmonic compensator decreases the lower order harmonics of grid voltage and current, and the lead compensator provides the phase lead. It is expected that the proposed controller is a dynamic aspirant in the grid-connected PV system.

scholarly journals Improvement of Power Quality WECS using AI Based STATCOM

2020 ◽  
pp. 5-9
Author(s):  
P Ankineedu Prasad A Ayyappa Swamy and
Keyword(s):  
Power Quality ◽  
Harmonic Distortion ◽  
Control Technique ◽  
Control Approach ◽  
System A ◽  
Three Phase ◽  
Static Compensator ◽  
Custom Power ◽  
Linear Nature

The major concern in a growing power quality is harmonics distortion which is caused by the non-linear nature of the loads. This problem has drawn much attention from utilities, users and industries. To reduce the harmonic distortion for improving the power quality of the system a custom power devices has been proposed. A static compensator (STATCOM) is implemented at distribution level for overcoming several power quality problems. In this paper, new control technic i.e AI is proposed on shunt compensator to estimates the weight values of load currents. The control approach is based on the convergence of the load currents and property of the input signal. A working prototype of the STATCOM is implemented using three-phase VSC and AI control technique based PWM controller approach is developed in MATLAB/SIMULINK.

Single Stage Single Switch Power Supply (S4PS)Design for Low Power HB-LED Lighting

2013 ◽  
Vol 14 (1) ◽  
pp. 33-40
Author(s):  
Ashish Shrivastava ◽  
Bhim Singh
Keyword(s):  
Low Power ◽  
Power Quality ◽  
Power Supply ◽  
Light Emitting Diode ◽  
Harmonic Distortion ◽  
Input Power ◽  
Single Stage ◽  
Led Driver ◽  
Converter Topology ◽  
Conduction Mode

Abstract This paper presents an improved power quality converter (IPQC)-based power supply design for high brightness light emitting diode (HB-LED) low power lighting. The IPQC circuit uses a Cuk buck-boost converter to operate it in a discontinuous conduction mode (DCM) using the voltage follower technique for the mitigation of harmonic contents present in the AC mains current. Subsequently, reduction in harmonic contents results in improving the power quality indices at the AC mains. Single-stage single switch converter topology is used, which has less component count, size and cost as compared to the two-stage converter topology. DCM operation has an advantage that only output voltage control loop is required as compared to three control loops required in the continuous conduction mode operation. An 18-W LED driver is designed, modeled and simulated using MATLAB/Simulink software for 220 V, 50 Hz AC mains. The performance of the proposed LED driver is observed in terms of total harmonic distortion of the input current (THDi), input power factor (PF) and crest factor (CF) taking into account the strict international standard of IEC 61000-3-2 for class C equipments.

scholarly journals A Novel Multiobjective Control of DVR to Enhance Power Quality of Sensitive Load

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Sathish Babu Pandu ◽  
Kamaraj Nagappan
Keyword(s):  
Particle Swarm Optimization ◽  
Power Quality ◽  
Power Distribution ◽  
Distribution Systems ◽  
Harmonic Distortion ◽  
Particle Swarm ◽  
Quality Indices ◽  
Nonlinear Load ◽  
Swarm Optimization ◽  
Proportional Integral

The Dynamic Voltage Restorer (DVR) is one of the fast, flexible, and cost effective solutions available in compensating the voltage-related power quality problems in power distribution systems. In this paper is discussed how power quality enhancement of sensitive load is achieved by applying three versions of Autonomous Group Particle Swarm Optimization like AGPSO1, AGPSO2, and AGPSO3 for tuning the Proportional-Integral DVR controller under balanced and nonlinear load conditions. A novel multiobjective function is formulated to express the control performance of the system, which is quantified using three power quality indices such as Total Harmonic Distortion (THD), voltage sag index, and RMS voltage variation. The obtained results are compared with the Proportional-Integral (PI) controller tuned by Ziegler-Nichols (ZN) method and also by Simple Particle Swarm Optimization based PI controlled DVR. The proposed methodology has improved the performance in terms of the considered power quality indices and the simulation has been carried out in MATLAB/Simulink environment.

scholarly journals Power Quality Enhancement of Grid-Connected Solar Photovoltaic System using ANN based Filter

2021 ◽  
Vol 7 (03) ◽  
pp. 84-89
Author(s):  
P Hari Pallavi and P Ankineedu Prasad
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Current Control ◽  
Photovoltaic System ◽  
Control Technique ◽  
Quality Level ◽  
Pv System ◽  
Nonlinear Load ◽  
Current Harmonics ◽  
Neural Network Controller

Grid-connected photovoltaic (PV) systems are increasingly attracting the attention of industry and academia as a means of providing an alternative to conventional fossil-fuel generation and pollution-free power. This project aims to improve the power quality level of a grid-tied PV distribution system using shunt active power filter (APF) along with adaptive current control technique. In this work Artificial Neural Network controller used to destroy the voltage and current harmonics in a grid-tied PV system. A reference current generation strategy is implemented to mitigate the current harmonics by extracting the fundamental constituents (FCs) from the nonlinear load currents. MCCF is employed to separate the FC from the distorted grid voltages and eliminates the voltage harmonics during extremely polluted grid voltage condition. The comparative analysis is analyzed to check the effectiveness of the proposed hybrid control scheme with existing and adaptive control techniques in respect of power quality, better dc offset rejection, better FC and frequency extraction, and grid synchronization.

scholarly journals Power Quality Enhancement of Grid-Connected Solar Photovoltaic System Using ANN based Filter

2021 ◽  
Vol 7 (03) ◽  
pp. 101-106
Author(s):  
B Anand Swaroop and K Jagadeesh
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Fuzzy Logic Controller ◽  
Current Control ◽  
Photovoltaic System ◽  
Control Technique ◽  
Quality Level ◽  
Pv System ◽  
Nonlinear Load ◽  
Current Harmonics

Grid-connected photovoltaic (PV) systems are increasingly attracting the attention of industry and academia as a means of providing an alternative to conventional fossil-fuel generation and pollution-free power. This project aims to improve the power quality level of a grid-tied PV distribution system using shunt active power filter (APF) along with adaptive current control technique. In this work Fuzzy Logic controller used to destroy the voltage and current harmonics in a grid-tied PV system. A reference current generation strategy is implemented to mitigate the current harmonics by extracting the fundamental constituents (FCs) from the nonlinear load currents. MCCF is employed to separate the FC from the distorted grid voltages and eliminates the voltage harmonics during extremely polluted grid voltage condition. The comparative analysis is analyzed to check the effectiveness of the proposed hybrid control scheme with existing and adaptive control techniques in respect of power quality, better dc offset rejection, better FC and frequency extraction, and grid synchronization.

scholarly journals Power Quality Improvement in WECS using Fuzzy – STATCOM

2021 ◽  
Vol 7 (03) ◽  
pp. 90-94
Author(s):  
B Praveen Kumar and V V L Durga Bhavani
Keyword(s):  
Power Quality ◽  
Harmonic Distortion ◽  
Control Technique ◽  
Control Approach ◽  
System A ◽  
Three Phase ◽  
Power Quality Improvement ◽  
Static Compensator ◽  
Custom Power

The major concern in a growing power quality is harmonics distortion which is caused by the non-linear nature of the loads. This problem has drawn much attention from utilities, users and industries. To reduce the harmonic distortion for improving the power quality of the system a custom power devices has been proposed. A static compensator (STATCOM) is implemented at distribution level for overcoming several power quality problems. In this paper, new control technic i.e AI is proposed on shunt compensator to estimates the weight values of load currents. The control approach is based on the convergence of the load currents and property of the input signal. A working prototype of the STATCOM is implemented using three-phase VSC and AI control technique based PWM controller approach is developed in MATLAB/SIMULINK.

scholarly journals Power Quality Improvement of a Solar Energy Conversion System by a Coordinated Active and LCL Filtering

2021 ◽  
Author(s):  
Atallah Ouai ◽  
Lakhdar Mokrani ◽  
Mohamed Machmoum ◽  
Azeddine Houari
Keyword(s):  
Power Quality ◽  
Power Converters ◽  
Reactive Power ◽  
Harmonic Distortion ◽  
Pv System ◽  
Nonlinear Loads ◽  
Nonlinear Load ◽  
Pwm Inverter ◽  
Electrical Grid ◽  
Almost All

Power converters play an essential role in Photovoltaic (PV) system to maximize the power transfer to the electrical grid. However, the generated harmonics in the grids due to these power converters and nonlinear loads are considered one of the encountered problems to overcome. This paper presents a decoupled control of PV field real power and reactive power injected to the high voltage network via a PWM inverter by using fuzzy logic controllers. Elsewhere, a procedure based on a coordinated active and LCL filtering is proposed to mitigate the harmonic current introduced by a nonlinear load and the inverter itself in such a way to enhance the power quality injected into the grid. The results obtained in the present study show the good performance of the suggested hybrid filtering approach and demonstrate that almost all harmonics orders of the grid current are well mitigated; the current Total Harmonic Distortion (THD) meets its standard and consequently the power quality is considerably enhanced.

scholarly journals Power Quality Enhancement of Grid-Connected Solar Photovoltaic System using ANN based Filter

2021 ◽  
Vol 7 (03) ◽  
pp. 84-89
Author(s):  
P Hari Pallavi and P Ankineedu Prasad
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Current Control ◽  
Photovoltaic System ◽  
Control Technique ◽  
Quality Level ◽  
Pv System ◽  
Nonlinear Load ◽  
Current Harmonics ◽  
Neural Network Controller

Grid-connected photovoltaic (PV) systems are increasingly attracting the attention of industry and academia as a means of providing an alternative to conventional fossil-fuel generation and pollution-free power. This project aims to improve the power quality level of a grid-tied PV distribution system using shunt active power filter (APF) along with adaptive current control technique. In this work Artificial Neural Network controller used to destroy the voltage and current harmonics in a grid-tied PV system. A reference current generation strategy is implemented to mitigate the current harmonics by extracting the fundamental constituents (FCs) from the nonlinear load currents. MCCF is employed to separate the FC from the distorted grid voltages and eliminates the voltage harmonics during extremely polluted grid voltage condition. The comparative analysis is analyzed to check the effectiveness of the proposed hybrid control scheme with existing and adaptive control techniques in respect of power quality, better dc offset rejection, better FC and frequency extraction, and grid synchronization.

Sign in / Sign up

Export Citation Format

Share Document