Improvement of the Power Quality in Single Phase Grid Connected Photovoltaic System Supplying Nonlinear Load

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.

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

International Journal for Modern Trends in Science and Technology - RTT2020 ◽

10.46501/ijmtst0703018 ◽

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.

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

International Journal for Modern Trends in Science and Technology - RTT2020 ◽

10.46501/ijmtst0703015 ◽

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.

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Enhancement of power quality using microprocessor based shunt active power filter for unbalanced load

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i4.pp3393-3402 ◽

2020 ◽

Vol 10 (4) ◽

pp. 3393

Author(s):

Madhu B. R. ◽

Dinesh M. N. ◽

Tsewang Thinlas ◽

Deril Menezes

Keyword(s):

Induction Motor ◽

Power Quality ◽

Single Phase ◽

Reactive Power ◽

Active Power Filter ◽

Active Power ◽

Nonlinear Load ◽

Shunt Active Power Filter ◽

Power Filter ◽

Unbalanced Load

Power quality is the most significant factor of power sector. The end user equipment such as induction motor, inverters, rectifiers inject harmonics into power system that influences the quality of power delivered. The presence of harmonics forces the use of instantaneous reactive power theory to calculate instantaneous power that helps in finding the compensating currents to eliminate harmonics. The control action required by active filter is accomplished by STM32F303RET6 microcontroller. Single phase induction motor is used as a dynamic nonlinear load in one of the three phases and resistive loads on the other two phases. TRIAC based RC triggering circuit was used to control the single phase induction motor. This paper presents the simulation and hardware implementation of shunt active power filter for 3 phase 4 wire unbalanced system. The hardware results show that THD in the source side has been reduced from 50.7% to 9.6% by implementing the SAPF.

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