Modelling and Simulation of Parallel/Series Hybrid Filter to Achieve Active Resonance Damping

Hybrid power filters is widely known and acknowledged in the field of power quality improvement especially in mitigating harmonics and compensating the reactive power. Since it is the combination of the passive and active filter in a circuit, it is not only simple, but also found to be cost-effective. It has been tested in various scale of power distribution network and proven to be working efficiently. The quality of the power transferred to the load in improved by mitigating the harmonics and damping out the resonances present. This paper is discussing the most suitable and applicable type of hybrid filter for both of the case studies ; the small distribution network of source 630 kVA 400V and the wind farm with capacity of 2MW for each of the 20 wind turbines. Classified references presented in this paper would serve for a quick reference

Power Quality Improvement by Harmonic Reduction Using Three Phase Shunt Active Power Filter with p-q & d-q Current Control Strategy

With the widespread use of power electronics devices such as rectifier, inverter etc. in power system causes serious problem relating to power quality. One of such problem is generation of current and voltage harmonics causing distortion of load waveform, voltage fluctuation, voltage dip, heating of equipment etc. Also presence of non-linear loads such as UPS, SMPS, speed drives etc. causes the generation of current harmonics in power system. They draw reactive power components of current from the AC mains, hence causing disturbance in supply current wave form. Thus to avoid the consequences of harmonics we have to compensate the harmonic component in power utility system. Among various method used, one of the effective method to reduce harmonic in power system is the use of Shunt Active Power Filter (SAPF). This Paper gives detail performance analysis of SAPF under two current control strategy namely, instantaneous active and reactive power theory (p-q) and synchronous frame reference theory (d-q) and their comparative analysis to justify one of the method better over other. In both method a reference current is generated for the filter which compensate either reactive power or harmonic current component in power system. In this paper, a current controller known harmonic current controller is described which is used provide corrective gating sequence of the IGBT inverter and thus helps to remove harmonics component

Synchronous reference frame fundamental method in shunt active power filter for mitigation of current harmonics

This research presents compensation of current harmonic disturbance in power system network using shunt active power filter. In this paper, harmonic extraction using Synchronous Reference Frame Fundamental technique (SRFF) was investigated for three phase 3-wire system. It proposes a method based on direct current measurement of load currents using a band pass filter at low cut off frequencies to improve the filtering ability in highly contaminated loads. The proposed filter consists of second order low pass and high pass filters cascaded together at suitable frequencies, estimated based on the output of these units to mitigate the current harmonics. The performance of the system was simulated in Matlab Platform and evaluated considering total harmonic distortion of the source current in a three-phase balanced network. The simulation results show the ability of the proposed tracking scheme to accurately estimate harmonics

Intelligent Voltage Sag Compensation Using an Artificial Neural Network (ANN)-Based Dynamic Voltage Restorer in MATLAB Simulink

An innovative Dynamic Voltage Restorer (DVR) system based on Artificial Neural Network (ANN) technology, implemented in MATLAB Simulink, accurately detects, and dynamically restores voltage sags, significantly improving power quality and ensuring a reliable supply to critical loads, contributing to the advancement of power quality enhancement techniques. Voltage sags are a prevalent power quality concern that can have a significant impact on sensitive electrical equipment. An innovative approach to address voltage sags through the operation of a Dynamic Voltage Restorer (DVR) based on Artificial Neural Network (ANN) technology. The proposed system, developed using MATLAB Simulink, leverages the ANN's capabilities to accurately detect voltage sags and dynamically restore the voltage to the affected load. The ANN is trained using a comprehensive dataset comprising voltage sag events, enabling it to learn the intricate relationships between sag characteristics and optimal compensation techniques. By integrating the trained ANN into the DVR control scheme, real-time compensation for voltage sags is achieved. The effectiveness of the proposed system is rigorously evaluated through extensive simulations and performance analysis. The results demonstrate the superior performance of the ANN-based DVR in terms of voltage sag detection accuracy and restoration precision. Consequently, the proposed system presents an intelligent and adaptive solution for voltage sag compensation, ensuring a reliable and high-quality power supply to critical loads. This research contributes to the advancement of power quality enhancement techniques, facilitating the implementation of intelligent power system

Intelligent Voltage Sag Compensation Using an Artificial Neural Network (ANN)-Based Dynamic Voltage Restorer in MATLAB Simulink

An innovative Dynamic Voltage Restorer (DVR) system based on Artificial Neural Network (ANN) technology, implemented in MATLAB Simulink, accurately detects, and dynamically restores voltage sags, significantly improving power quality and ensuring a reliable supply to critical loads, contributing to the advancement of power quality enhancement techniques. Voltage sags are a prevalent power quality concern that can have a significant impact on sensitive electrical equipment. An innovative approach to address voltage sags through the operation of a Dynamic Voltage Restorer (DVR) based on Artificial Neural Network (ANN) technology. The proposed system, developed using MATLAB Simulink, leverages the ANN's capabilities to accurately detect voltage sags and dynamically restore the voltage to the affected load. The ANN is trained using a comprehensive dataset comprising voltage sag events, enabling it to learn the intricate relationships between sag characteristics and optimal compensation techniques. By integrating the trained ANN into the DVR control scheme, real-time compensation for voltage sags is achieved. The effectiveness of the proposed system is rigorously evaluated through extensive simulations and performance analysis. The results demonstrate the superior performance of the ANN-based DVR in terms of voltage sag detection accuracy and restoration precision. Consequently, the proposed system presents an intelligent and adaptive solution for voltage sag compensation, ensuring a reliable and high-quality power supply to critical loads. This research contributes to the advancement of power quality enhancement techniques, facilitating the implementation of intelligent power system

A Review on UPQC Based one Feeder and Double Feeder Distribution System for Power Quality Improvement

This paper present an encyclopedic review on the unified power quality conditioner (UPQC) to improve electric power quality. This is proposed to present a generous overview on the one feeder and double feeder distribution system. For pulse width modulation based sinusoidal pulse width modulation technic are present to improve the electric power quality

Design And Analysis Of A Series Active Power Filter Based On Hysteresis Controller For Power Quality Improvement

This dissertation presents the analysis and design of a three phase series active power filter based on hysteresis controller for power quality improvement. The proposed system comprises of a filtering scheme, injection transformer, Voltage Source Inverter (VSI) and its controller. The main aim of this dissertation covers design, analysis and modeling using MATLAB/SIMULINK for a three phase series active power filter. The system is capable of mitigating voltage sags and swells at low voltage distribution system. The proposed controller based on hysteresis controller was applied to the series active power filter throughout injected transformer. The implementation of hysteresis controller is capable to detect voltage disturbances in supply voltage and injects an appropriate voltage in order to recover decrease or an increase of supply voltage back to its nominal value, and then the load can be protected from any voltage disturbances. The connected load in the system consists of linear or nonlinear loads. The Total Harmonics Distortion (THD) values of current and voltage for linear and non-linear loads are measured. The various performances of simulation results of the proposed modeling has been investigated. Finally, the proposed system has successfully implemented in this research for mitigating voltage sags and swells. In addition, the voltage disturbance compensating performance of the Series Active Power Filter has improved using the hysteresis-control method

Voltage quality enhancement in distribution system using artificial neural network (ANN) based dynamic voltage restorer

Voltage quality issue and invariably power quality has become an important issue in distribution power system operation due to presence of increased use of nonlinear loads (computers, microcontrollers and power electronics systems). Voltage sags and swells as well as harmonics are problems for industrial, commercial and residential customers with sensitive loads, which need urgent attention for their compensation. In this paper, the modeling and simulations of a dynamic voltage restorer (DVR) was achieved u sing MATLAB/Simulink. The aim was to employ artificial intelligence to provide smart triggering pulses for the DVR to mitigate and to provide compensation against voltage sags and swells. The Artificial Neural Network (ANN) was trained online by data gener ated via a 3 - phase programmable voltage generator and these were used as inputs to the ANN, fault conditions were simulated to create voltage sags and swells in the source supply, while faultless condition of the system was simulated and the data obtained from it was used as targets of the ANN. A net fitting, feed forward back propagation, Lavenberg - Marquardt training algorithm and mean square error performance were used. ANN Simulink block was used as control for the gate of the full wave 3 - phase Insulated Gate Bipolar Transistor (IGBT) inverter employed in constructing the DVR. Three single phase injection transformers were employed to regulate the output amplitude voltage from the DVR, while filters were used to reduce the harmonics from 11.09% to 3.5%. A t the end, voltage sags and swells were effectively mitigated and harmonics in the system reduced to 3.5%, which is within the maximum acceptable IEEE standard 519 of 1992 for harmonic distortion. Key words : Voltage, Distribution System, ANN, Dynamic Volt age Restorer, Voltage quality enhancement, non - linear load

A Five Level Modified Cascaded H-Bridge Inverter STATCOM for Power Quality Improvement

Multilevel converters have received serious attention on account of their capability of high voltage operation, high efficiency, and low electromagnetic interference. It has many advantages compared to conventional two-level inverters such as high dc-link voltages, reduced harmonic distortion, fewer voltage stresses, and low electromagnetic interferences. The multilevel converters have been used for STATCOM widely as it can improve the power rating of the compensator to make it suitable for medium or high-voltage high power applications. While deploying multilevel STATCOMs, designer’s role is to reduce the number of switching devices since, the total switching losses are proportional to the number of switching devices. The reduction in the count of switching devices also reduces the size and cost. In this paper, a five-level modified cascaded H-bridge inverter STATCOM is proposed for mitigation of harmonics. Modified Five-level CHB configuration is the most suitable as with lesser number of switches, give better performance resulting in a compact system. The PQ theory-based controller is developed for control of STATCOM operation. MATLAB simulation results are presented to demonstrate mitigation of harmonics

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

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