Mitigation Of Power Quality Issues Research Articles

FFDSOGI-PLL-based DSTATCOM for Power Quality Enhancement

This paper proposes a control technique based on a frequency-fixed dual second-order generalized integrator phase-locked loop (FFDSOGI-PLL) for a Distribution Static Compensator (DSTATCOM). The goal is to mitigate power-quality (PQ) issues in a three-phase distribution network with a weak grid. The phase angle, symmetrical components, and positive sequence of supply voltages were estimated using the FFDSOGI-PLL even in a polluted grid environment. The active component magnitude of the fundamental load current was extracted using SOGI, which also reduces the PQ issues by generating compensating current. The effectiveness of the proposed FFDSOGI-PLL-based DSTATCOM was verified for functions like load balancing, power factor correction (PFC), harmonics reduction, etc. This was done in MATLAB/SIMULINK under steadystate and dynamic conditions. The simulation results show that the FFDSOGI-PLL-based control algorithm has faster convergence and quick dynamic response. Hence, the DSTATCOM performance is satisfactory for mitigating PQ issues with the FFDSOGI-PLL-based control technique.

Neural Network Controlled Solar PV Battery Powered Unified Power Quality Conditioner for Grid Connected Operation

The Unified Power Quality Conditioner (UPQC) is a technology that has successfully addressed power quality issues. In this paper, a photovoltaic system with battery storage powered Unified Power Quality Conditioner is presented. Total harmonic distortion of the grid current during extreme voltage sag and swell conditions is more than 5% when UPQC is controlled with synchronous reference frame theory (SRF) and instantaneous reactive power theory (PQ) control. The shunt active filter of the UPQC is controlled by the artificial neural network to overcome the above problem. The proposed artificial neural network controller helps to simplify the control complexity and mitigate power quality issues effectively. This study aims to use a neural network to control a shunt active filter of the UPQC to maximise the supply of active power loads and grid and also used to mitigate the harmonic problem due to non-linear loads in the grid. The performance of the model is tested under various case scenarios, including non-linear load conditions, unbalanced load conditions, and voltage sag and voltage swell conditions. The simulations were performed in MATLAB/Simulink software. The results showed excellent performance of the proposed approach and were compared with PQ and SRF control. The percent total harmonic distortion (%THD) of the grid current was measured and discussed for all cases. The results show that the %THD is within the acceptable limits of IEEE-519 (less than 5%) in all test case scenarios by the proposed controller.

A Novel Approach for Mitigating Power Quality Issues in a PV Integrated Microgrid System Using an Improved Jelly Fish Algorithm

A two-step methodology was used to address and improve the power quality concerns for the PV-integrated microgrid system. First, partial shading was included to deal with the real-time issues. The Improved Jelly Fish Algorithm integrated Perturb and Obserb (IJFA-PO) has been proposed to track the Global Maximum Power Point (GMPP). Second, the main unit-powered via DC–AC converter is synchronised with the grid. To cope with the wide voltage variation and harmonic mitigation, an auxiliary unit undergoes a novel series compensation technique. Out of various switching approaches, IJFA-based Selective Harmonic Elimination (SHE) in 120° conduction gives the optimal solution. Three switching angles were obtained using IJFA, whose performance was equivalent to that of nine switching angles. Thus, the system is efficient with minimised higher-order harmonics and lower switching losses. The proposed system outperformed in terms of efficiency, metaheuristics, and convergence. The Total Harmonic Distortion (THD) obtained was 1.32%, which is within the IEEE 1547 and IEC tolerable limits. The model was developed in MATLAB/Simulink 2016b and verified with an experimental prototype of grid-synchronised PV capacity of 260 W tested under various loading conditions. The present model is reliable and features a simple controller that provides more convenient and adequate performance.

Energy Management System and Enhancement of Power Quality with Grid Integrated Micro-Grid using Fuzzy Logic Controller

A modern hybrid model is introduced, which is a combination of PV, Wind turbine, converter components to improve Microgrid (MG) operation, to improve system dependability, effective efficiency, which are fundamental qualities. In view of renewable energy Maximum Power Point Tracking (MPPT) is frequently applied to improve PV efficiency in which randomness, flexibility of solar energy because of changes in temperature. To achieve MPPT P&O rule, Incremental conductance (IC) methods are implemented in this manuscript. The design, execution of EMS with Fuzzy Logic Controller (FLC) for AC/DC microgrid is implemented. Apart from designing of EMS the power quality of MG is improved. It proposes analysis, control of storage devices. The FLC improves battery life and also will achieve desirable SoC. An FLC based EMS grid integrated MG is adopted, to mitigate power quality issues under nonlinear, unbalanced load conditions. The proposed model is executed by adopting MATLAB/SIMULINK

Enhancement of Wind Energy Penetration Levels in Rural Grid Using ADALINE-LMS Controlled Distribution Static Compensator

Wind Energy (WE) penetration levels in rural grids are limited due to the Power Quality (PQ) issues owing to the inconsistency in the wind speed and low short circuit ratios. This is further aggravated due to the day-by-day increase in non-linear loads. This paper proposes a methodology to enhance WE penetration levels by mitigating PQ issues using distribution static compensator (DSTATCOM) controlled by the Adaptive Linear Element-Least Mean Square (ADALINE-LMS) algorithm. The proposed adaptive control algorithm estimates the active and reactive weight components of load currents by considering the changes in wind generation, DC-link voltage and grid voltage. These weights are used to generate reference current signals to switch the DSTATCOM to mitigate PQ disturbances. The proposed method has been implemented for the enhancement of WE penetration in the rural grid under the non-linear load. The results obtained by simulation in MATLAB studies have been validated using the experimental studies. These studies established the effectiveness of the proposed method for enhancing WE penetration level in rural grid up to 25%.

Dynamic voltage restorer (DVR) enhancement in power quality mitigation with an adverse impact of unsymmetrical faults

Solar grid systems are widely used especially in remote locations where electricity accessibility from the grid is limited. The major issue frequently encountered in microgrid-connected photovoltaic (PV) systems are voltage overshoots, transient response and steady state errors causing instability of microgrid during unsymmetrical temporary faults in the distribution network and damages the sensitive loads. PV-grid solely depends on solar hours per day and is not reliable at location with variable weather conditions. Therefore, the generated power per day is reduced as per daily demand and would create power quality issues in a distribution line. Additionally, the PV-grid system exposed to weather experiences unsymmetrical faults due to severe weather conditions that affects the reliability of the grid and electricity supplies. This study presents a technique to enhance the stability of microgrid by using dynamic voltage restorer in a three-phase grid connected system to mitigate power quality issues arising from PV-grid side in a harsh weather condition. The most significant extreme weather conditions such as thunderstorms and high winds are potential causes affecting the instability of transmission network by generating faults such as double line-to-ground, single line-to-ground, lightning strike or impulse transients, and power outage in a distribution line. The proposed technique enhances the transient stability of microgrid and provides symmetrical operating conditions for the load. The control mechanism extracts the fault signal and stabilize the error signal. In the proposed configuration, hysteresis-band PWM generator drives the inverter with the PV based battery storage system connected at DC-Link. The simulation results are verified by using IEEE519 standards limits in four case studies to mitigate power quality issues arising due to severe weather conditions by injecting compensating voltage to protect load and act as microgrid in case of power outage.

Solar photovoltaic based dynamic voltage restorer with DC-DC boost converter for mitigating power quality issues in single phase grid

ABSTRACT A new topology of photovoltaic (PV) based transformerless dynamic voltage restorer (TDVR) with high gain DC-DC boost converter is proposed to mitigate voltage sag and swell, interruptions, and unbalanced outages in single-phase grid. The proposed PV-DVR high DC-DC boost converter is comprised of one MOSFET switch and three inductors with second order generalized integrator (SOGI) based unit vector template (UVT) control to enhance the effectiveness of the system for grid-connected renewable applications. The high voltage (HV) gain is achieved by this proposed converter through its soft-switching ability and coupled inductor arrangement with continuous conduction mode (CCM). In the proposed high gain DC-DC converter, the MOSFET IRFP260 power switch is preferably used for low voltage stress and also minimum on-state resistance. The mathematical analysis of the proposed converter is also discussed in this paper. The proposed converter is interfaced with an SOGI-PLL controller with input voltage (24 V), output voltage (230 V), and power rating as 250 W with less number of both passive and active switches. Moreover, to validate the performance and advantage of the proposed converter, the system was simulated by using MATLAB-SIMULINK and laboratory 250 W prototype results are presented to show the effectiveness of the design to limit the voltage sag – 0.1 pu and swell – 1.9 pu and also THD% level within in ceiling limit prescribed in IEEE STD at the load side.

Mitigation of Power Quality Issues using UPQC with STF-SRF Technique Under Adverse Voltage Source Condition

Mitigation of Power Quality Issues using UPQC with STF-SRF Technique Under Adverse Voltage Source Condition

PV System Based Dynamic Voltage Restorer (DVR) in Water Pumping System for Agricultural Application

Modern solar-powered pumping systems are already being utilized in various fields and industrial applications especially in agricultural water irrigation systems where pumping water at a remote location is required with fewer electricity accessibility from the grid is not feasible. PV solely depends on solar hours per day and it is not reliable when a location exhibits variable weather conditions, such as in Malaysia, having 12 solar hours daily but maximum 5-6 peak performance hours are as usually achieved due to the cloudy and rainy nature of the weather. In this case, PV-grid is not able to generate power as per daily demand and would create voltage sags, swell, and power outage when it is directly connected with the water pumping system for irrigation. To overcome this problem, a PV-DVR solar water pumping system (PV-DVRWP) is proposed in this paper that can mitigate power quality issues arising from PV-grid side such as voltage sags, voltage swells, and power outage by injecting the required amount of voltage into the line to maintain constant load voltage supply. The DVR controller strategy uses dq-abc frame mechanism to extract fault signals by using Park’s transformation method, PID, and hysteresis band PWM signal generator to drive the inverter of DVR connected with a battery storage system. The proposed methodology of the PV-DVRWP system mitigates power quality issues occurring from the PV-grid side by injecting compensating voltage as well as being able to support water pumping systems in case of power outage for a three-phase system.

D STATCOM Control using SRFT Method for PQ Improvement in a PV System

The set of restrictions defined for a system’s electrical characteristics so that the entire electrical system can function in the intended manner and without losses is known as power quality. Power quality issues such as transients, harmonics, voltage swell, sag, flicker, fluctuations, and power factor difficulties are becoming more common as power electronic devices become more widely used. The usage of a Distribution Static Compensator (D-STATCOM) to mitigate power quality issues is discussed in this study. In this case, D-STATCOM functions as a shunt active power filter to reduce harmonics caused by non-linear loads. The simulation studies on a PV-based Cascaded-H-Bridge Multi-Level Inverter i.e Solar PV and Cascaded H Bridge MLI are integrated using Selective Harmonic Elimination method with D-STATCOM injected at the load side to improve power quality are presented in this project. The Solar PV system is mathematically modelled using Boost regulator and P&O MPPT technique and to the D-STATCOM the controller is designed utilizing Synchronous Reference Frame Theory (SRFT) out of many control strategies for reactive power compensation, harmonic mitigation, and power factor enhancement as it is more accurate. A 2nd order low pass filter is employed at the load side to reduce the harmonics to some extent, and both 5-level and 7-level models are evaluated. MATLAB/SIMULINK is used for simulation.

Performance of CH-DVR during Phase Angle Jump and Fault Riding

In this paper, a seven-level cascaded H-Bridge dynamic voltage restorer (CHDVR) is proposed to mitigate power quality issues in the power system that are causing severe problems both in industrial and commercial sectors which may sometimes lead to interruption of power. To improve the voltage quality, many series compensators are been using in which DVR is one best solution wherein in many cases phase angle jump is not considered during the initial stage of compensation which influences the power quality. In this paper voltage Phase Angle Jump (PAJ) is taken into consideration to improve voltage quality using DVR. Moreover, Fault riding capability (FRC) is also considered along with phase jump to progress overall execution of the power system. The control strategy adopted is worked out for several sag cases and the analysis is validated using results acquired from MATLAB/SIMULINK 2019 platform.

Evaluation and Analysis of Soft Computing Techniques for Grid Connected Photo Voltaic System to Enhance Power Quality Issues

The major problem in grid connected transmission and distribution networks are the power quality issues due to the unbalance loads. The power quality issues relate to the current and voltage based issues generated at the point of common coupling. Some of the current based power quality issues relate to reactive power extraction, poor zero voltage regulation, harmonics in the load currents undesired neutral current and power factor and. Several DSTATCOM compensation techniques has been introduced for compensation of reactive power and power quality issues in the three phase, four wire system. The proposed system focus on DSTATCOM soft computing techniques such as: Widrow–Hoff least mean square, vectorial filter, discrete adaptive filter and quasi Newton control algorithms. The proposed algorithms controlled the switches pulses to drive the voltage source converter section in the DSTATCOM network thereby mitigating power quality issues and reactive power generation in the grid connected photovoltaic system. The soft computing techniques has maintained constant DC bus capacitor voltage and common coupling voltage along with unity power factor, zero voltage regulation under linear and non-linear load conditions, eliminating the harmonics in the load currents. The proportional integral controller is used for error correction between the reference and capacitor voltage. The novel drift-free maximum power point technique has shown better results under varying temperature and irradiances conditions. The DSTATCOM soft computing techniques has been implemented and simulated in MATLAB/SIMULINK.

Performance Evaluation of Unified Power Quality Conditioner for Mitigation of Power Quality Issues using Genetic Algorithm Controller

Research is focusing on the improving power quality in distribution system based on unified power quality conditioner device. Each converter has six switches and these switches are controlled in order to mitigate power quality issues. An eight switch UPQC topology is proposed to reduce the harmonics and some precincts such as more switching stress, high value of DC link voltage etc. The UPQC function is primarily identified by the estimation of compensation signals precisely and rapidly. The predominantly focus on improve the power quality in distribution system using flexible ac transmission system connected with grid. In order to reducing the total cost of the system, minimization of number of switches is essential. But it is a challenging task for every researcher. The topology of UPQC can be modified into eight switch topology and the results are validated for nonlinear loads, sag and swell conditions. From the results, it is concluded that genetic algorithm gives encouraging results.

Multilevel Inverter Based Power Quality Enhancement Using Improved Immune Control Algorithm

ABSTRACT Multilevel inverters are currently the subject of extensive investigation and are used primarily for medium and high voltage distribution systems. The work presented in this paper provides a cost-effective and realistic solution to mitigate power quality (PQ) problems. A Cascaded H-Bridge multilevel inverter (CHB-MLI) has been configured as a shunt active power filter (SAPF). It is well reported that large-scale use of power electronics-based devices leads to several PQ problems such as poor power factor, unregulated dc voltage, harmonics, voltage regulation etc. In this paper, an improved immune feedback control algorithm is proposed and developed to mitigate PQ issues by predicting the weighted active component of load current and to generate reference current for the grid. Extensive MATLAB simulation and experimental work have been reported for validation on a single-phase system. A low prototype model is developed in the laboratory to study and compare the steady-state and dynamic results of the proposed controller with conventional Least Mean Square (LMS) and Immune algorithm.

Power Quality Enhancement in Grid-Connected PV/Wind/Battery Using UPQC: Atom Search Optimization

Nowadays, the integration of hybrid renewable energy system (HRES) in grid connected load system are encouraged to increase reliability and reduce losses. The HRES system is connected to the grid system to meet required load demand and the integrated design creates the power quality (PQ) issues in the system due to non-linear load, critical load and unbalanced load conditions. Hence, in this paper, atom search optimization (ASO) with unified power quality conditioner (UPQC) is designed to solve the PQ issues in HRES system. The main objective of the work is the mitigation of PQ issues and compensate load demand in HRES system. The PQ issue problems are solved with the help of UPQC device in the system. The UPQC performance is increased by introducing fractional order proportional integral derivative (FOPID) with ASO based controller in series and shunt active power filter to mitigate PQ issues of current and voltage. Initially, HRES is designed with photovoltaic (PV) system, wind turbine (WT) and battery energy storage system (BESS) which connected with the load system. To analysis the presentation of the proposed controller structure, the non-linear load is connected with the system to create PQ issues in the system. The PQ issues are mitigated and load demand is reimbursed with the assistance of HRES system. The proposed method is employed in the MATLAB/Simulink platform and performances were analysed. Three different cases are used to validate the performance of the proposed method such as Sag, Swell, and disturbances. Additionally, total harmonic distortion (THD) is analysed. The proposed method is compared with existing methods of proportional integral (PI) controller, gravitational search algorithm (GSA), biogeography based optimisation (BBO), grey wolf optimization (GWO), extended search algorithm (ESA), random forest algorithm (RFA) and genetic algorithm (GA).

Mitigation of power quality issues in smart grid using levy flight based moth flame optimization algorithm

Now a days, energy demand have been increasing due to industrialization factors in the world. The energy demand and environmental problems also increased such as global warming and air pollution. The problems must be solved by introducing renewable energy resources in grid connection. The increasing demand solved by combining renewable energy resources with grid connection which is the smart grid (SG) system. The SG system is affected by the voltage collapses and power quality (PQ) issues such as voltage sag, voltage swell, voltage interruption etc. Because of connection of renewable resources with grid connection. In the SG is consists of renewable energy systems (RES) and power storage devices. The RES are photovoltaic (PV), wind turbine (WT) that are connected with grid through the voltage source inverter (VSI). In the SG system, the power flow, power management and PQ are the main problems which must be solved to maintain stable operation. Thus, in this paper, Levy flight-moth flame optimization (LFMFO) is developed for improving the performance and mitigates the PQ issues in the SG system. To avoid the local optima and improve the global search of MFO, Levy flight is utlized in the SG system. Using the proposed algorithm, improve the performance of the SG with the voltage, droop control based low voltage ride through (LVRT) and damping controls for reduce the PQ issues. The proposed strategy is validated in the MATLAB/Simulink platform and investigated the PV power, wind power, voltage sag, current, voltage swell and voltage interruption. The proposed method shows the ability to mitigate PQ issues in SG system. The proposed methods provide the best optimal results toward to achieve objective of MG system. Under voltage sag, voltage swell and voltage interruption conditions of SG, proposed methods shows best performance to improve stability of the system. The execution of proposed system is shown and compared with the existing techniques of Cuckoo search (CS) algorithm and particle swarm optimization (PSO) algorithm.

Mitigation of power quality issues in distribution systems using harmonic filters and capacitor banks

Due to increased load demand, the power system developers are encouraged to meet power quality requirements. Using harmonic filter and capacitor bank is one of the essential solutions in mitigating power quality issues. This research aims to mitigate harmonics and improve the voltage in distribution systems by using ETAP. For this purpose, a distribution system in Homs city is considered, which is a part of Syrian power system. The capacitor banks are designed using numerical analysis and Optimal Capacitor Placement (OCP). The results indicate that this approach enhances the voltage profile, which is reflected in some buses. The voltage profile is effectively improved on several buses, and power losses are significantly reduced. The Total Harmonic Distortions (THDs) and Individual Harmonic Distortions (IHDs) of the subjected buses are reduced. Moreover, the power factor is improved from 0.877 to 0.926 for the studied system.

Comparison of Various Control Strategies for UPQC to Mitigate PQ Issues

In this manuscript, numerous intelligent projected methods have been implemented to enhance UPQC device power quality (PQ) problems. The numerous intelligent methods are artificial neural network (ANN) controller, fuzzy logic controller (FLC), neuro-fuzzy controller (NFC) and adaptive neuro-fuzzy interference system (ANFIS). In addition, numerous optimization control methodologies are used to series active power filters and shunt active power filters. The intelligent control methods were implemented in the MATLAB/Simulink platform, and the efficacy of the anticipated technique is investigated via the comparison investigation with the conservative methods. The performance of adaptive ANFIS is used for enlightening the performance of PQ of the UPQC device. Lastly, the projected method of simulation is investigated and to mitigate the voltage sag/swell in UPQC device than the available approaches.

Mitigation of power quality issues using UPQC

Abstract Power quality has become major concern these days due to application of power electronic devices. Conventional equipment like passive filter, segregate series and shunt filters and synchronous condenser etc. have become inadequate to mitigate different power quality problems. Since, power quality mainly concerned with voltage quality and the current quality in the system. For voltage quality, series compensator is used and for current quality, shunt compensator is used. Further, when these two power quality problems are mitigated simultaneously, the device, which is used, called unified power quality conditioner (UPQC), in power distribution system. In this paper voltage related power quality problems such as (voltage sag, voltage swell, voltage and current distortion) are discussed and UPQC controller is simulated to mitigate these problems. There are different control techniques available for UPQC. Here one of them i.e., unit vector template generation (UVTG) is used to simulate UPQC controller. The considered system efficiently regulated the DC link voltage using properly tuned PI parameters. The proposed work is also validated using experimental results.

Series active power filter supplied by fuel cell for mitigating power quality issues

<div data-canvas-width="174.49288953839948">In this paper, the combination of the series active power filter (SAPF) with a fuel cell (FC) source is deliberated. The FC based on the SAPF aims to compensate voltage deviations or disturbances that occur in the system caused by power quality issues. The proposed system consists of a fuel cell source connected to the DC l ink through two DC-DC converters, the first extracts the maximum power of the FC source through pulse width modulation (PWM) signals generated from the maximum power point tracker (MPPT) controller. Thus, the second converter is used to regulate the high voltage side of the converter through closed control loops, in addition to a voltage source inverter (VSI) and a series injection transformer. Despite of fluctuations of the DC link during the compensation of the needed energy, MPPT and closed control loops generate PWM signals to the switching devices of DC-DC boost converters in order to extract maximum fuel cell power and to maintain the bus voltage within its limits and around its reference values respectively. The proposed topology is simulated in MATLAB/Simulink software, where simulation results show that the proposed FC based SAPF can efficiently reduce problems of voltage sags-wells and harmonics.</div>