CURRENT HARMONIC COMPENSATION USING PREDICTIVE CONTROLLERS

2004 ◽  
Vol 13 (05) ◽  
pp. 1065-1078 ◽  
Author(s):  
MOHAMMAD HAERI ◽  
KAMIAR KORDARI
Keyword(s):  
Power Quality ◽  
Design Method ◽  
Active Filter ◽  
Current Control ◽  
Switching Frequency ◽  
Harmonic Compensation ◽  
Current Harmonics ◽  
Control Approach ◽  
Physical Constraints ◽  
Predictive Controllers

The power quality has become a major concern since late 1980's. There has been increasing interest in studying power quality problems, one of which is the existence of the current/voltage harmonics. In order to eliminate these harmonics, different methods have so far been proposed and developed. In this paper, line current harmonics reduction is achieved by using an active filter. More specifically, our aim is to introduce a proper control design method for the current control part of the active filter. To achieve the goal, two different predictive controllers are examined. Due to the existing physical constraints (switching frequency and computational limits) in real applications, a new predictive control approach is proposed. The performance of this controller is compared to those obtained by two existing predictive controllers as well as commonly used PI controller through computer simulations considering various circumstances.

scholarly journals Improving Power Quality and Mitigation of Harmonic Distortion Impact at Photovoltaic Electric Vehicle Charging System

2021 ◽  
Vol 5 (1) ◽  
pp. 25-32
Author(s):  
Adel Elgammal ◽  
Curtis Boodoo
Keyword(s):  
Electric Vehicle ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Harmonic Distortion ◽  
Active Filter ◽  
Current Control ◽  
Shunt Active Filter ◽  
Electric Cars ◽  
Charging System ◽  
High Penetration

This article offers a clear and realistic design for an active power filter to increase reliability and power quality of the photovoltaic charging system and a high-penetration electric vehicle distribution system. The MOPSO algorithm is used as the basis for problems with optimization and filter tuning. A typical regular load curve is used to model the warped power grid over a 24-hour cycle to estimate the total harmonic distortion (THD). For structures with high penetration of electric cars, the probability of minimizing THD (for example to five percent) is explored via optimum capacity active shunt filters and shunt capacitors. To maximize general performance of the charging system, the switching systems are re-scheduled. Moreover, to increase the current control accuracy of shunt active filter, the fuzzy logic controller is utilized. The major drawback to new system is that it would have unrestricted billing for entire day to cope with voltage interruption. In MATLAB / SIMULINK, detailed machine setup and control algorithm experiments are simulated. The simulation findings confirm the efficiency and viability of projected shunt active filter to enhance voltage profile and track power performance of photovoltaic charging system.

scholarly journals Improvement of Power Quality in an Adaptive Boost PFC Converter with Generation of PWM Control Signal by Cascading Power Factor and Chaos Controller Circuits

2019 ◽  
Vol 9 (2) ◽  
pp. 5208-5216
Keyword(s):  
Feedback Control ◽  
Power Quality ◽  
Power Factor ◽  
Control Method ◽  
Current Mode ◽  
Delayed Feedback ◽  
Current Control ◽  
Delayed Feedback Control ◽  
Switching Frequency ◽  
Variable Load

This work discusses about a digital controller system for reduced effect of chaos and improved power factor of a 1-phase AC-DC converter system. It is shown that, the proposed controller technique is able to suppress the chaos at variable load condition of a boost power factor correction (BPFC) converter. Furthermore, a systematic methodology based on bifurcation diagram from tuning the controller is proposed. To achieve improved power quality in BPFC converter, combination of average and peak inductor current mode control methods are performed. In the MATLAB/SIMULINK environment, simulation circuit for the BPFC converter with average current control method is developed to improve power factor. Further, to reduce the effect of chaos produced in converter, peak inductor current mode with delayed feedback control method is adopted. At an output power of 650 W operating at 130K Hz switching frequency, this converter provides Total Harmonic Distortion (THDi ) reduction of 20% and improved Power Factor (PF) of input current compared to other conventional converter. For real time operation of the system, rapid prototyping test is carried out using DAQ (Data acquisition) board NI 6351. The delayed feedback control has a better performance than any other methods proposed earlier

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 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.

Optimal Real Power Penetration to Solar PV-Fed Double Boost Integrated Multilevel Converter with Improved Power Quality

2020 ◽  
Vol 29 (16) ◽  
pp. 2050256 ◽  
Author(s):  
B. N. Ch. V. Chakravarthi ◽  
G. V. Siva Krishna Rao
Keyword(s):  
Power Quality ◽  
Poor Quality ◽  
Current Control ◽  
Solar Pv ◽  
Pv System ◽  
Optimal Control Strategy ◽  
Real Power ◽  
Control Approach ◽  
Hysteresis Current Control ◽  
Solar Pv System

In grid-connected solar PV system, power quality gets affected seriously due to the variable real power penetration. The transformer is mandatory to integrate and isolate the solar PV and powered network. However, due to presence of this transformer, size and cost of the entire solar PV station get increased and it requires more space while supplying poor quality of power. In order to overcome this drawback, this paper proposes a double boost integrated multilevel inverter to inject the power into utility grid. In addition, the optimal control strategy is used to tap maximum power generation from solar PV and injected into grid with improved power quality. This paper presents an adaptive digital hysteresis current control approach to penetrate optimal power into grid. To validate the proposed work, the simulation results are carried out using PSCAD/EMDTC software. Furthermore, to confirm theoretical study and simulation study, the experimental test was performed and detailed results with validation were presented in this paper.

New Method to Harmonic Isolation Based on High Selectivity Filter to Control of Shunt Active Filter with Experimental Validation Using DSPACE System

2014 ◽  
Vol 666 ◽  
pp. 53-58
Author(s):  
Mohamed Muftah Saleem
Keyword(s):  
High Selectivity ◽  
Control Method ◽  
Active Filter ◽  
Current Control ◽  
Control Technique ◽  
Harmonic Compensation ◽  
Shunt Active Filter ◽  
Active Power Filters ◽  
Power Filters ◽  
Current Controller

This paper presents a new control method of a parallel active power filters based on improved harmonic isolation with hardware implementation. The harmonic isolator is based on High Selectivity Filters (it can be tuned at any frequency) and the current control technique consists in a modulated hysteresis current controller. This active filter is intended for harmonic compensation of a diode rectifier feeding a RL load. The study of the active filter control is divided in two parts. The first part deals with the harmonic isolator which generates the harmonic reference currents and is implemented into a DSPACE DS1104 prototyping card. The second part focuses on the generation of the switching pattern of the IGBTs of the inverter by the modulated hysteresis current controller, implemented into an analogue card. The use of High Selectivity Filters instead of classical extraction filters allows extracting directly the voltage and current fundamental components in the α-β axis at high performances. The effectiveness of the new proposed method is verified by computer simulation and by experimental study.

scholarly journals Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2715 ◽  
Author(s):  
Agnieszka Kowal G. ◽  
Manuel R. Arahal ◽  
Cristina Martin ◽  
Federico Barrero
Keyword(s):  
Predictive Control ◽  
Tracking Error ◽  
Induction Machines ◽  
Current Control ◽  
Feasibility Problem ◽  
Switching Frequency ◽  
Usual Practice ◽  
Parasitic Currents ◽  
Multi Phase ◽  
Predictive Controllers

The problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this possibility, being the usual practice tuning the controller to achieve the particular compromise solution. The proposal of this paper is to change the form of the tuning problem of predictive controllers so that constraints are explicitly taken into account. This is done by considering multiple controllers that are locally optimal. To illustrate the method, a five-phase drive is considered and the problem of minimizing x − y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is tackled. The experiments showed that the constraint feasibility problem has, in general, no solution for standard predictive control, whereas the proposed scheme provides good tracking performance without violating constraints in switching frequency and at the same time reducing parasitic currents of x − y subspaces.

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