Voltage Flicker Mitigation Using VSC-Based STATCOM to Improve Power Quality

Author(s):  
Badrinarayan Behera ◽  
Kamalesh Chandra Rout ◽  
Rudra Narayan Dash
2011 ◽  
Vol 110-116 ◽  
pp. 1762-1766
Author(s):  
A.M. Zare Zadeh ◽  
R. Ghandehari

Voltage flicker and harmonics are power quality problems which are imposed on power system by electrical arc furnace. To study furnaces and find a solution to remove the negative effects of them, it is needed to have an appropriate electrical arc furnace model. Several methods in time and frequency domain have been presented. One of the time domain methods is Mayr model which has two problems. Firstly, it shows the harmonic components more than the real values. Secondly, it does not involve voltage flicker phenomenon. In this article with the comparison of harmonic components of Mayr model and measured values of arc furnace, an improved Mayr model is introduced. In the presented model, the problems of Mayr model are removed and it shows the real behavior of arc furnace


2010 ◽  
Vol 1 (2) ◽  
pp. 28-59 ◽  
Author(s):  
V. Ravikumar Pandi ◽  
B. K. Panigrahi

Recently utilities and end users become more concerned about power quality issues because the load equipments are more sensitive to various power quality disturbances, such as harmonics and voltage fluctuation. Harmonic distortion and voltage flicker are the major causes in growing concern about electric power quality. Power quality disturbance monitoring plays an important role in the deregulated power market scenario due to competitiveness among the utilities. This paper presents an evolutionary algorithm approach based on Adaptive Particle Swarm Optimization (APSO) to determine the amplitude, phase and frequency of a power quality signal. In this APSO algorithm the time varying inertia weight is modified as rank based, and re-initialization is used to increase the diversity. In this paper, to the authors highlight the efficacy of different evolutionary optimization techniques like classical PSO, Constriction based PSO, Clonal Algorithm (CLONALOG), Adaptive Bacterial Foraging (ABF) and the proposed Adaptive Particle Swarm Optimization (APSO) to extract different parameters like amplitude, phase and frequency of harmonic distorted power quality signal and voltage flicker.


Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 366 ◽  
Author(s):  
Ali Q. Al-Shetwi ◽  
M A Hannan ◽  
Ker Pin Jern ◽  
Ammar A. Alkahtani ◽  
A. E. PG Abas

The generation and integration of photovoltaic power plants (PVPPs) into the utility grid have increased dramatically over the past two decades. In this sense, and to ensure a high quality of the PVPPs generated power as well as a contribution on the power system security and stability, some of the new power quality requirements imposed by different grid codes and standards in order to regulate the installation of PVPPs and ensure the grid stability. This study aims to investigate the recent integration requirements including voltage sag, voltage flicker, harmonics, voltage unbalance, and frequency variation. Additionally, compliance controls and methods to fulfill these requirements are developed. In line with this, a large-scale three-phase grid-connected PVPP is designed. A modified inverter controller without the use of any extra device is designed to mitigate the sage incidence and achieve the low-voltage ride-through requirement. It can efficiently operate at normal conditions and once sag or faults are detected, it can change the mode of operation and inject a reactive current based on the sag depth. A dynamic voltage regulator and its controller are also designed to control the voltage flicker, fluctuation, and unbalance at the point of common coupling between the PVPP and the grid. The voltage and current harmonics are reduced below the specified limits using proper design and a RLC filter. The obtained results show that the proposed controller fulfilled the recent standard requirements in mitigating power quality (PQ) events. Thus, this study can increase the effort towards the development of smooth PVPP integration by optimizing the design, operation and control strategies towards high PQ and green electricity.


Author(s):  
V. Ravikumar Pandi ◽  
B. K. Panigrahi

Recently utilities and end users become more concerned about power quality issues because the load equipments are more sensitive to various power quality disturbances, such as harmonics and voltage fluctuation. Harmonic distortion and voltage flicker are the major causes in growing concern about electric power quality. Power quality disturbance monitoring plays an important role in the deregulated power market scenario due to competitiveness among the utilities. This paper presents an evolutionary algorithm approach based on Adaptive Particle Swarm Optimization (APSO) to determine the amplitude, phase and frequency of a power quality signal. In this APSO algorithm the time varying inertia weight is modified as rank based, and re-initialization is used to increase the diversity. In this paper, to the authors highlight the efficacy of different evolutionary optimization techniques like classical PSO, Constriction based PSO, Clonal Algorithm (CLONALOG), Adaptive Bacterial Foraging (ABF) and the proposed Adaptive Particle Swarm Optimization (APSO) to extract different parameters like amplitude, phase and frequency of harmonic distorted power quality signal and voltage flicker.


2019 ◽  
Vol 118 (7) ◽  
pp. 67-72
Author(s):  
Mohan Kumar. C ◽  
Vinayaka K. U

In the steel production, electrical arc furnace EAF is mainly used for melting the scrap iron. In steel production is increased by using EAF. The EAF is an extremely non-linear and massive power load, but due to EAF is stochastic functioning of an EAF, in the research of the power quality enhancement is motivated. The EAF operation power quality is introduced, the power quality negative consequences decides are characteristics and non-characteristics harmonics, voltage flicker effect, low power factor that arises in the electrical network in operation of the EAF. The quality disturbance are harmonics and current flicker. In the dynamic analysis of the power quality to voltage flicker is studied. The dynamic and static analysis of the EAF we taken examined to study the survival of the voltage flicker in the power system, The analysis of the harmonic is conveyed out to current harmonic is clarify under different types of EAF operation in the power system, so that controller, filter and PWM are used. The controller is hysteresis current and vector current are used to reduce the harmonic through the filter. The pulse width modulation generates the sinusoidal waveform. The EAF operation is beyond the permitted levels as per IEEE references, so as to mitigate the harmonic  problems due to an EAF , a rapid dynamic reactive power compensation devices like series passive filter with vector current and hysteresis current controller is being proposed as a solution, The power system has been simulated using MATLAB and the results were tabulated.


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