scholarly journals Computational Simulation - Design & Analysis Functionality of Grid Connected (GC) Photo Voltaic (PV) System

2020 ◽  
Vol 9 (3) ◽  
pp. 433-438
Keyword(s):  
Tracking System ◽  
Computational Simulation ◽  
Climatic Conditions ◽  
Simulation Design ◽  
Pv System ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Pv Array ◽  
Continuous State ◽  
Photo Voltaic

The electrical power produced via photo-voltaic (PV) array relies largely on weather conditions. In this paper, we presented a continuous state functionality of the PV gridconnected (GC) unit at distinct solar irradiances. The presented model is developed on MATLAB environment, which includes the PV array using an improved perturb and observe (MP&O) tracking system interconnected to DC to DC boosting conversion application, the 3-phase 3 level electric power inverter which usually associated to the utility grid using low pass filter, coupled transformer and synchronous control mechanism of PV inverter. The presented model is lab-created within day-by- day climatic conditions to estimate its working mechanism. The simulation results of the proposed system satisfy requirements grid performance with high power quality. In the proposed work number of cell modules used 90, number of parallel strings 60, maximum PV output voltage1000wb/m2 at 274 V, minimum voltage at 600 wb/m2 at 250V, maximum power at 1000 wb/m2-100 kw, and minimum power at 600 wb/m2-57 kw.

scholarly journals A Novel Transformer-less Grid Tie Inverter for Rooftop PV system

2017 ◽  
Vol 16 (1) ◽  
pp. 37-46
Author(s):  
Mahir Mahdee ◽  
Chowdhury Mohammad Samir ◽  
Sunzidur Rahman ◽  
Md. Shabuj Hossain ◽  
Ahmed Mortuza Saleque ◽  
...  
Keyword(s):  
Multilevel Inverter ◽  
Pv System ◽  
Constant Input ◽  
Pv Systems ◽  
Design And Implementation ◽  
Pv Array ◽  
Arduino Microcontroller ◽  
Photo Voltaic ◽  
Simulation Results ◽  
Inverter Topology

This paper presents a relatively new concept for the design and implementation of a grid-tie inverter for photo voltaic (PV) systems. The proposed method will eliminate the uses of battery pack hence overall cost of any PV project will be significantly reduced. As the output of any PV array varies with the variation of solar irradiance hence a boost converter with PID regulated variable duty cycle has been used to keep a constant input to the inverter. Multilevel inverter topology has been proposed for utility grid connectivity. The proposed design is simulated in MATLAB/Simulink and a prototype is also implemented to verify the simulation results. The controllers are implemented in Arduino microcontroller board.

scholarly journals Improvement of DSOGI PLL Synchronization Algorithm with Filter on Three-Phase Grid-connected Photovoltaic System

2018 ◽  
Vol 18 (1) ◽  
pp. 35 ◽  
Author(s):  
Rofiatul Izah ◽  
Subiyanto Subiyanto ◽  
Dhidik Prastiyanto
Keyword(s):  
Reference Frame ◽  
Frequency Estimation ◽  
Photovoltaic System ◽  
Positive Sequence ◽  
Pv System ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Synchronous Reference Frame ◽  
Three Phase ◽  
Low Pass

Synchronous Reference Frame Phase Locked Loop (SRF PLL) has been widely used for synchronization three-phase grid-connected photovoltaic (PV) system. On the grid fault, SRF PLL distorted by negative sequence component and grid harmonic that caused an error in estimating parameter because of ripple and oscillation. This work combined SRF PLL with Dual Second Order Generalized Integrator (DSOGI) and filter to minimize ripple and minimize oscillation in the phase estimation and frequency estimation. DSOGI was used for filtering and obtaining the 90o shifted versions from the vαβ signals. These signals (vαβ) were generated from three phase grid voltage signal using Clarke transform. The vαβ signal was the inputs to the positive-sequence calculator (PSC). The positive-sequence vαβ was transformed to the dq synchronous reference frame and became an input to SRF-PLL to create the estimation frequency. This estimation frequency from SRF PLL was filtered by the low-pass filter to decrease grid harmonic. Moreover, the output of low-pass filter was a frequency adaptive. The performance of DSOGI PLL with filter is compared with DSOGI PLL, SRF PLL, and IEEE standard 1547(TM)-2003. The improvement of DSOGI PLL with filter gave better performances than DSOGI PLL and SRF PLLbecause it minimized ripples and oscillations in the phase and frequency estimations.

scholarly journals Climatic information archived in ice cores: impact of intermittency and diffusion on the recorded isotopic signal in Antarctica

2019 ◽  
Author(s):  
Mathieu Casado ◽  
Thomas Münch ◽  
Thomas Laepple
Keyword(s):  
Time Scales ◽  
Signal To Noise Ratio ◽  
Ice Core ◽  
Ice Cores ◽  
Reanalysis Data ◽  
Climatic Conditions ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Frequency Changes ◽  
Isotopic Signal

Abstract. The isotopic signal (δ18O and δD) imprinted in ice cores from Antarctica is not solely generated by the temperature sensitivity of the isotopic composition of precipitation but also contains the signature of the intermittency of precipitation patterns as well as of post-deposition processes occurring at the surface and in the firn. This leads to a proxy signal recorded by the ice cores that may not be representative of the local climatic variations. Due to precipitation intermittency, the ice cores only record brief snapshots of the climatic conditions, resulting in aliasing of the climatic signal, and thus a large amount of noise which reduces the minimum temporal resolution at which a meaningful signal can be retrieved. The analyses are further complicated by isotopic diffusion which acts as a low pass filter that dampens any high frequency changes. Here, we use reanalysis data (ERA-Interim) combined with satellite products of accumulation to evaluate the spatial distribution of the transfer function that describes the formation of the isotopic signal across Antarctica. The minimum time scales at which the signal-to-noise ratio exceeds unity range from less than a year at the coast to a thousand years further inland. Based on solely physical processes, we were thus able to define a lower bound for the time scales at which climate variability can be reconstructed from ice core water isotopic compositions.

Motion Trajectory Tracking Method for Vehicle Steering Based on Dynamic Surface Control

2012 ◽  
Vol 220-223 ◽  
pp. 1023-1027
Author(s):  
Jun Gu ◽  
Jun Fan ◽  
Huan Shen
Keyword(s):  
Trajectory Tracking ◽  
Tracking System ◽  
Lateral Position ◽  
Dynamic Surface Control ◽  
Dynamic Surface ◽  
Pass Filter ◽  
High Order Derivative ◽  
Low Pass Filter ◽  
Low Pass ◽  
The Stability

Focus on the problem of steering trajectory tracking, a tracking control law based on dynamic surface is proposed. Other than existing methods, this paper considers combined lateral position and yaw synchronously control. The first order low pass filter is used to obtain the differential items of the lateral position and yaw, so as to eliminate the high order derivative from the final expression of the close loop law. This characteristic is very useful especially in real applications. The Lyapunov approach is employed to analysis the stability of the tracking system, and the convergence of the system is achieve. Simulation result validates the outstanding effectiveness of the proposed method for steering trajectory tracking.

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

2021 ◽  
Vol 10 (8) ◽  
pp. 113-119
Author(s):  
Namratha Sampath ◽  
P.V.S.S.A Parimala
Keyword(s):  
Power Quality ◽  
Power Factor ◽  
Reactive Power ◽  
Control Strategies ◽  
Solar Pv ◽  
Pv System ◽  
Shunt Active Power Filter ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Quality Issues

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.

scholarly journals Object Localization and Tracking System Using Multiple Ultrasonic Sensors with Newton–Raphson Optimization and Kalman Filtering Techniques

2021 ◽  
Vol 11 (23) ◽  
pp. 11243
Author(s):  
Chung-Wei Juan ◽  
Jwu-Sheng Hu
Keyword(s):  
Tracking System ◽  
Target Object ◽  
Object Localization ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Range Measurement ◽  
Signal Envelope ◽  
Newton Raphson ◽  
Localization And Tracking ◽  
Accuracy And Stability

In this paper, an object localization and tracking system is implemented with an ultrasonic sensing technique and improved algorithms. The system is composed of one ultrasonic transmitter and five receivers, which uses the principle of ultrasonic ranging measurement to locate the target object. This system has several stages of locating and tracking the target object. First, a simple voice activity detection (VAD) algorithm is used to detect the ultrasonic echo signal of each receiving channel, and then a demodulation method with a low-pass filter is used to extract the signal envelope. The time-of-flight (TOF) estimation algorithm is then applied to the signal envelope for range measurement. Due to the variations of position, direction, material, size, and other factors of the detected object and the signal attenuation during the ultrasonic propagation process, the shape of the echo waveform is easily distorted, and TOF estimation is often inaccurate and unstable. In order to improve the accuracy and stability of TOF estimation, a new method of TOF estimation by fitting the general (GN) model and the double exponential (DE) model on the suitable envelope region using Newton–Raphson (NR) optimization with Levenberg–Marquardt (LM) modification (NRLM) is proposed. The final stage is the object localization and tracking. An extended Kalman filter (EKF) is designed, which inherently considers the interference and outlier problems of range measurement, and effectively reduces the interference to target localization under critical measurement conditions. The performance of the proposed system is evaluated by the experimental evaluation of conditions, such as stationary pen localization, stationary finger localization, and moving finger tracking. The experimental results verify the performance of the system and show that the system has a considerable degree of accuracy and stability for object localization and tracking.

scholarly journals Climatic information archived in ice cores: impact of intermittency and diffusion on the recorded isotopic signal in Antarctica

2020 ◽  
Vol 16 (4) ◽  
pp. 1581-1598 ◽  
Author(s):  
Mathieu Casado ◽  
Thomas Münch ◽  
Thomas Laepple
Keyword(s):  
Isotopic Composition ◽  
Signal To Noise Ratio ◽  
Ice Cores ◽  
Reanalysis Data ◽  
Climatic Conditions ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Local Climate ◽  
Frequency Changes ◽  
Isotopic Signal

Abstract. The isotopic signal (δ18O and δD) imprinted in ice cores from Antarctica is not solely generated by the temperature sensitivity of the isotopic composition of precipitation, but it also contains the signature of the intermittency of the precipitation patterns, as well as of post-deposition processes occurring at the surface and in the firn. This leads to a proxy signal recorded by the ice cores that may not be representative of the local climate variations. Due to precipitation intermittency, the ice cores only record brief snapshots of the climatic conditions, resulting in aliasing of the climatic signal and thus a large amount of noise which reduces the minimum temporal resolution at which a meaningful signal can be retrieved. The analyses are further complicated by isotopic diffusion, which acts as a low-pass filter that dampens any high-frequency changes. Here, we use reanalysis data (ERA-Interim) combined with satellite products of accumulation to evaluate the spatial distribution of the numerical estimates of the transfer function that describes the formation of the isotopic signal across Antarctica. As a result, the minimum timescales at which the signal-to-noise ratio exceeds unity range from less than 1 year at the coast to about 1000 years further inland. Based on solely physical processes, we are thus able to define a lower bound for the timescales at which climate variability can be reconstructed from the isotopic composition in ice cores.

Driver Design of the Piezoelectric Ultrasonic Transducer for Wire Bonding Based on Direct Digital Synthesis Technology

2011 ◽  
Vol 697-698 ◽  
pp. 809-812 ◽  
Author(s):  
Hong Jie Zhang ◽  
Fu Jun Wang ◽  
Y.Y. Hou ◽  
D.W. Zhang
Keyword(s):  
Tracking System ◽  
Ultrasonic Transducer ◽  
Ultrasonic Signal ◽  
Bonding Process ◽  
Direct Digital Synthesis ◽  
High Quality ◽  
Generator System ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Frequency Tracking

In order to design a driver of piezoelectric ultrasonic transducer which can provide high quality ultrasonic signal and be able to realize the frequency tracking rapidly, accurately and intelligently during the bonding process, the ATmega128 microcontroller and AD9851 synthesizer are selected as core components to build an ultrasonic generator and frequency tracking system. The basic circuit units including low pass filter, power amplifier, signal detection and conversion circuits are also established. The test results of the system shows that, based on DDS technology, high quality ultrasonic signal for transducer can be achieved. By combining the two kinds of frequency tracking methods, the system can realize the frequency tracking during the bonding process. It also indicates that the design significantly improve the precision and flexibility of the ultrasonic generator system.

scholarly journals A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 4007 ◽  
Author(s):  
Tehzeeb-ul Hassan ◽  
Rabeh Abbassi ◽  
Houssem Jerbi ◽  
Kashif Mehmood ◽  
Muhammad Faizan Tahir ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Harmonic Distortion ◽  
Pv System ◽  
Dynamic Simulations ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Point Tracking ◽  
Dc Gain ◽  
Pv Modules

Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there is an uncertainty present in the modeling of PV modules owing to varying irradiance and temperature. To solve such uncertainty, the fuzzy logic control-based intelligent maximum power point tracking (MPPT) method is observed to be more suitable as compared with conventional algorithms in PV systems. In this paper, an isolated PV system using a push pull converter with the fuzzy logic-based MPPT algorithm is presented. The proposed methodology optimizes the output power of PV modules and achieves isolation with high DC gain. The DC gain is inverted into a single phase AC through a closed loop fuzzy logic inverter with a low pass filter to reduce the total harmonic distortion (THD). Dynamic simulations are developed in Matlab/Simulink by MathWorks under linear loads. The results show that the fuzzy logic algorithms of the proposed system efficiently track the MPPT and present reduced THD.

scholarly journals A Review on Fuzzy-GA based Controller for Power Flow Control in Grid Connected PV System

2017 ◽  
Vol 7 (1) ◽  
pp. 125
Author(s):  
Raghu Thumu ◽  
K. Harinadha Reddy
Keyword(s):  
Renewable Energy ◽  
Power Quality ◽  
Power Flow ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Pv System ◽  
Pv Array ◽  
Reactive Power Flow ◽  
Photo Voltaic

<p>Now-a-days Renewable Energy Sources became an alternative to meet the increasing load demand because they are environmental friendly and also available abundant in nature. Among the Renewable Energy Sources, the Photo Voltaic (PV) System is gaining more attention due abundant availability of solar energy. The Maximum Power Point Tracking Technique is used to extract maximum power from the Photo Voltaic (PV) Array. When there is a need to transfer bulk amount of power from PV Array to Power Grid, the power quality issues, especially the real and reactive power flow problems, are a major concern. In this paper a novel control technique was proposed to control the power flow and to deal with power quality issues that arise when PV Array is integrated with power grid. It consists of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device, namely Unified Power Flow Controller, for effective control of real and reactive power flow in grid connected photovoltaic system. The output of the Fuzzy Logic Controller is a control vector which is fine tuned by using Genetic Algorithm approach.</p>

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