scholarly journals Power quality problems mitigation using dynamic voltage restorer (DVR) with pi controller and fuzzy logic controller

2018 ◽  
Vol 7 (2.12) ◽  
pp. 214
Author(s):  
Te Jaswini Sarwade ◽  
V S. Jape ◽  
D G. Bharadwaj
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Distribution Network ◽  
Pi Controller ◽  
Dynamic Voltage Restorer ◽  
Voltage Restorer ◽  
Dynamic Voltage

The existence of non-standard currents, frequencies and voltages enhances the Power Quality (PQ) problems. Power consumed by the consumers and losses occurred in power system are deciding factors for the utility to determine the performance of the power system in terms of Power Quality. These Power Quality problems lead to failure of end user equipments as well as creates disturbances in power distribution network, thereby deteriorates residual life assessment of major equipments used in substation. The PQ problems can be characterized as voltage surges, sags, swells, harmonic distortions, etc. There are many reasons for the determination of Power Quality. The loads used by the consumers of electricity abnormally leads to deprove the Power Quality. Low power factor loads are taken care of by the utilities in the form of financial penalty. However, occurrence of harmonics, voltage swells and sags in the system is the most powerful reason behind degradation of Power Quality. To mitigate these issues, use of Custom Power Devices (CPD) in the distribution network is the most significant solution. Paper presents the design of the CPD like Dynamic Voltage Restorer (DVR) using two control strategies i.e. PI Controller and Fuzzy Logic Controller (FLC). MATLAB/SIMULINK is used to analyze the effectiveness of these control strategies. 

Application of Dynamic Voltage Restorer for Power Quality Improvement in Low Voltage Electrical Power Distribution Network: An Overview

2017 ◽  
Vol 28 ◽  
pp. 142-156 ◽  
Author(s):  
Patrick Taiwo Ogunboyo ◽  
Remy Tiako ◽  
Innocent E. Davidson
Keyword(s):  
Power Quality ◽  
Power Distribution ◽  
Low Voltage ◽  
Electrical Power ◽  
Distribution Network ◽  
Power Distribution Network ◽  
Dynamic Voltage Restorer ◽  
Voltage Restorer ◽  
Power Quality Improvement ◽  
Dynamic Voltage

Dynamic Voltage Restorer (DVR) is a series connected power electronics based custom power device that is used to improve voltage disturbances in low voltage electrical power distribution network. Power quality requirement is one of the most important concerns for power system. The parts of the DVR is made up of voltage source inverter, injection/booster transformer, a harmonic filter, an energy storage device and a bypass switch. The DVR is used to inject three phase voltage in series and in synchronism with the network voltages in order to compensate voltage disturbances with a benefit of active /reactive power control. This paper presents a review of the researches on the dynamic voltage restorer application for power quality improvement in low voltage electrical power distribution networks. It describes power quality issues, principle of operation of DVR, basic components of DVR, DVRs control topologies in distribution network, DVR control strategies and compensation techniques.

scholarly journals VOLTAGE COMPENSATION USING ARTIFICIAL NEURAL NETWORK: A CASE STUDY OF RUMUOLA DISTRIBUTION NETWORK

2016 ◽  
Vol 36 (1) ◽  
pp. 178-185
Author(s):  
R Uhumnwangho ◽  
E Omorogiuwa ◽  
G Offor
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Quality ◽  
Distribution Network ◽  
Dynamic Voltage Restorer ◽  
Port Harcourt ◽  
Voltage Restorer ◽  
Dynamic Voltage ◽  
Artificial Neural ◽  
Rivers State

 A study of hourly voltage log taken over a period of six months from Rumuola Distribution network Port Harcourt, Rivers State indicates that power quality problems prevalent in the Network are undervoltage/voltage sags and overvoltage/voltage swells. This paper aims at addressing these power quality problems in the distribution network using artificial neural network (ANN) controller based dynamic voltage restorer (DVR). The artificial neural networks controller engaged to controlling the dynamic voltage restorer were trained with input and output data of proportional integral (PI) controller and of unit amplitude generator obtained during simulation. All simulations and modeling were carried out in MathLab/Simulink. Proposed dynamic voltage restorer was tested with replicated model of Rumuola substation by simulating with sample of average voltage for Omerelu, Waterlines, Rumuola, Shell Industrial and Barracks feeders. Simulation results showed that DVR is effective in compensating for under-voltage and over-voltage in Rumuola Distribution network Port Harcourt, Rivers State. http://dx.doi.org/10.4314/njt.v36i1.23

scholarly journals Simulation-based Analysis of a Dynamic Voltage Restorer under Different Voltage Sags with the Utilization of a PI Controller

2020 ◽  
Vol 10 (4) ◽  
pp. 5889-5895
Author(s):  
A. H. Soomro ◽  
A. S. Larik ◽  
M. A. Mahar ◽  
A. A. Sahito ◽  
I. A. Sohu
Keyword(s):  
Power Quality ◽  
Harmonic Distortion ◽  
Cost Effective ◽  
Pi Controller ◽  
Voltage Control Strategy ◽  
Constant Frequency ◽  
Dynamic Voltage Restorer ◽  
Matlab Simulink ◽  
Voltage Restorer ◽  
Dynamic Voltage

Power quality problems are becoming a major issue. Every utility company consumer desires to receive steady-state voltage, i.e. a sinusoidal waveform of constant frequency as generated at power stations, but the influence of disturbances in the shape of sags and swells, interruptions, transients and harmonic distortions which affect power quality, resulting in loss of data, damaged equipment, and augmented cost. The most powerful voltage disturbance is the sag voltage. In this paper, a Dynamic Voltage Restorer (DVR) is proposed for sag voltage compensation. It is cost-effective and protects critical loads in a good manner from balanced or unbalanced sag voltage. Control strategy (such as a PI controller) is adopted with DVR topology and the performance of such a device with the proposed controller is analyzed through simulation in MATLAB/Simulink. Three types of faults are utilized, which are available in MATLAB/Simulink pack, for obtaining the sag voltage. The specific range of total harmonic distortion percentage is also discussed. After the result validation of the DVR topology in MATLAB/Simulink, it has been seen that the proposed topology is able to compensate the sag voltage of any type of fault and reduce the unbalancing and voltage distortions of the grid.

scholarly journals Power quality enhancement using Artificial Neural Network (ANN) based Dynamic Voltage Restorer (DVR)

2021 ◽  
Vol 309 ◽  
pp. 01100
Author(s):  
Chaitanya Kasala ◽  
Vinay Kumar Awaar ◽  
Praveen Jugge
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power System ◽  
Power Quality ◽  
Superior Performance ◽  
Dynamic Voltage Restorer ◽  
Voltage Restorer ◽  
Dynamic Voltage ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The power quality, which can affect consumers and their utility, is a key concern of modern power system. The sensitive equipment is damaged by voltage harmonics, sag and swell. Therefore, as usage of sensitive equipment has been increasing, power quality is essential for reliable and secure operation of the power system in modern times. The potential distribution flexible AC transmission system (D-FACTS) device, a dynamic voltage restorer (DVR), is widely used to address problems with non-standard voltage in the distribution system. It induces voltages to preserve the voltage profile and ensures continuous load voltage. In this paper, the voltage sag and swell is compensated by DVR with an artificial neural network (ANN) controller. For the generation of reference voltage for voltage source converter (VSC) switching, and for the voltage conversion from rotating vectors to stationary frame, synchronous reference frame (SRF) theory is applied. The DVR Control Strategy and its performance is simulated using MATLAB software. It is also shown a detailed comparison of the ANN controller with the conventional Proportional Integral controller (PI), which showed ANN controller’s superior performance with less Total Harmonic Distortion (THD).

scholarly journals PMU and DVR based Power System Monitoring, Controlling and Voltage sag Compensation

2020 ◽  
Vol 32 ◽  
pp. 01006
Author(s):  
Abhishek Chalwadi ◽  
Kiruthika M ◽  
Bindu S
Keyword(s):  
Power System ◽  
Power Quality ◽  
Measurement Unit ◽  
Voltage Sag ◽  
Dynamic Voltage Restorer ◽  
Power System Monitoring ◽  
Voltage Restorer ◽  
Dynamic Voltage ◽  
The Difference ◽  
Compensation Device

The power system network is becoming dense and much more complex. Dynamic and continuous monitoring of the power system network is required to avoid power outages. Phasor Measurement Unit (PMU) is one such device that provides state estimation parameters of dynamic power system networks that are used for designing relays and controlling the system network. Power Quality problems such as voltage sags and swells can damage the sensitive load and cause abnormal voltage, current, and frequency conditions in a power system network. Fast and major developments in power electronics technology have made it possible to mitigate the power quality problems. Dynamic Voltage Restorer (DVR) is a voltage sag compensation device that compensates the difference in voltage avoiding interruptions and restores the voltage to the pre-fault value. This paper discusses a technique used for monitoring, protecting, and controlling the system under fault condition using PMU and compensate voltage sag for a sensitive load using DVR based on the data collected by placing PMU in an optimal location. The outcome of the above analysis is recorded which shows that effective monitoring, controlling, and voltage sag compensation can be done with less number of PMU’s placed optimally in conjunction with DVR.

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