scholarly journals Adaptive Fuzzy PI Current Control of Grid Interact PV Inverter

2018 ◽  
Vol 8 (1) ◽  
pp. 472 ◽  
Author(s):  
R.S. Ravi Sankar ◽  
S.V. Jayaram Kumar ◽  
G. Mohan Rao
Keyword(s):  
Power Generation ◽  
Pulse Width Modulation ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Current Control ◽  
Reference Voltage ◽  
Voltage Source ◽  
Pv Inverter ◽  
Photo Voltaic ◽  
Pv Power Generation

Now a day‟s, Photo Voltaic (PV) power generation rapidly increasing. This power generation highly depending on the temperature and irradiation. When this power interface with grid through the voltage source inverter with PI controller. Its gains should be updated due to the parametric changes for the better performance. In This Work Fuzzy Controller updates the gains of the proportional integral (PI)s Controller under variable parametric conditions. the gaines of the PI Controller are updated based on the error current and change in error current through the fuzzy controller. The error current in direct and quadrature frame are the Inputs to the PI controller. The PI Controller generates the reference voltage to the pulse width modulation technique. Here reference voltage is compared with the carrier signal to generate the pulses to the 3-Ph Inverter connected to the grid. This controller has given well dynamic response with less steady state error and also given The less THD of the grid current compared to the PI and Fuzzy controller.It Is implemented and verified in MATLAB Simulink.

scholarly journals Ultra-Short-Term Forecasting of Photo-Voltaic Power via RBF Neural Network

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1717
Author(s):  
Wanxing Ma ◽  
Zhimin Chen ◽  
Qing Zhu
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Smart Grids ◽  
Percentage Error ◽  
Solar Pv ◽  
Short Term ◽  
Forecasting Method ◽  
Photo Voltaic ◽  
Short Term Forecasting ◽  
Pv Power Generation

With the fast expansion of renewable energy systems during recent years, the stability and quality of smart grids using solar energy have been challenged because of the intermittency and fluctuations. Hence, forecasting photo-voltaic (PV) power generation is essential in facilitating planning and managing electricity generation and distribution. In this paper, the ultra-short-term forecasting method for solar PV power generation is investigated. Subsequently, we proposed a radial basis function (RBF)-based neural network. Additionally, to improve the network generalization ability and reduce the training time, the numbers of hidden layer neurons are limited. The input of neural network is selected as the one with higher Spearman correlation among the predicted power features. The data are normalized and the expansion parameter of RBF neurons are adjusted continuously in order to reduce the calculation errors and improve the forecasting accuracy. Numerous simulations are carried out to evaluate the performance of the proposed forecasting method. The mean absolute percentage error (MAPE) of the testing set is within 10%, which show that the power values of the following 15 min. can be predicted accurately. The simulation results verify that our method shows better performance than other existing works.

scholarly journals PV Power-Generation System with a Phase-Shift PWM Technique for High Step-Up Voltage Applications

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Cheng-Tao Tsai ◽  
Sin-Hua Chen
Keyword(s):  
Power Generation ◽  
Phase Shift ◽  
Pulse Width Modulation ◽  
Maximum Power ◽  
Generation System ◽  
Output Stage ◽  
Point Tracking ◽  
Power Switches ◽  
Power Generation System ◽  
Pv Power Generation

A PV power-generation system with a phase-shift pulse-width modulation (PWM) technique for high step-up voltage applications is proposed. The proposed power-generation system consists of two stages. In the input stage, all power switches of the full-bridge converter with phase-shift technique can be operated with zero-current switching (ZCS) at turn-on or turn-off transition. Hence, the switching losses of the power switches can be reduced. Then, in the DC output stage, a voltage-doubler circuit is used to boost a high dc-link bus voltage. To supply a utility power, a dc/ac inverter is connected to induce a sinusoidal source. In order to draw a maximum power from PV arrays source, a microcontroller is incorporated with the perturbation and observation method to implement maximum power point tracking (MPPT) algorithm and power regulating scheme. In this study, a full load power of 300 W prototype has been built. Experimental results are presented to verify the performance and feasibility of the proposed PV power-generation system.

scholarly journals A Novel Zero Dead-Time PWM Method to Improve the Current Distortion of a Three-Level NPC Inverter

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2195
Author(s):  
Jin-Wook Kang ◽  
Seung-Wook Hyun ◽  
Yong Kan ◽  
Hoon Lee ◽  
Jung-Hyo Lee
Keyword(s):  
Pulse Width ◽  
Pulse Width Modulation ◽  
Dead Time ◽  
Short Circuit ◽  
Reference Voltage ◽  
Voltage Source ◽  
Switching Operation ◽  
Voltage Unbalance ◽  
Offset Voltage ◽  
Simulation And Experiment

This paper proposes a novel pulse width modulation (PWM) for a three-level neutral point clamped (NPC) voltage source inverter (VSI). When the conventional PWM method is used in three-level NPC VSI, dead time is required to prevent a short circuit caused by the operation of complementary devices on the upper and lower arms. However, current distortion is increased because of the dead time and it can also cause a voltage unbalance in the dc-link. To solve this problem, we propose a zero dead-time width modulation (ZDPWM) which does not require dead time used in complementary operation. The proposed technique applies the offset voltage to the space vector pulse width modulation (SVPWM) reference voltage for the same modulation index (MI) as the conventional SVPWM, but any complementary switching operation needs dead time. In addition, the proposed method is divided into four operation sections using the reference voltage and phase current to operate switching devices which flow the current depending on the section. This ZDPWM method is simply implemented by carrier and reference voltage that reduce the current distortion, because complementary operation that needs dead time is not implemented. However, the operation section is delayed due to the sampling delay that occurs during the experiment. Therefore, in this paper, we conduct a modeling of sampling delay to improve the delay of operation section. To verify the principle and feasibility of the proposed ZDPWM method, a simulation and experiment are implemented.

scholarly journals Integration of Photovoltaic to the Grid Using Hysteresis Current Control

2021 ◽  
Vol 23 (06) ◽  
pp. 1635-1648
Author(s):  
Reetesh Kumar Maurya ◽  
◽  
Dr. Imran ◽  
Keyword(s):  
Power Generation ◽  
Development Strategy ◽  
Large Scale ◽  
Analog Circuit ◽  
Control Method ◽  
Current Control ◽  
Voltage Source ◽  
Control Procedure ◽  
Current Output ◽  
Hysteresis Current Control

This research paper deals with the increasingly urgent energy issues; the world attaches great importance to begin the development of new energy and related technology. At present, large-scale photovoltaic power generation and scale of renewable energy have become parts of development strategy, meanwhile, it is the way to guide the development of the photovoltaic industry. However, because of its own characteristics different from conventional power generation grid-connected PV power station and its security, stability, reliable operation become new challenges that power grid and PV power plant need to face. Grid-connected voltage source inverters are essential for the integration of the distributed energy resources. However, due to the small capacity and intermittent nature of renewable sources, it is extremely difficult to integrate them into the existing grid system. This project has taken an attempt to design a control method for a three-phase grid-connected inverter system for distributed generation applications. The method is hysteresis current control along with PI control. Hysteresis current control is a commonly employed method for power control of VSI. The control procedure is implemented in an analog circuit using Op-amps and other ICs. This controller will generate pulses to fire the inverter in order to control the current output of the inverter. The control method along with the PI controller provides robust current regulation and achieves unity power factor. In addition, in this project development of a controller in D Space is attempted. Simulation and experimental results are provided to demonstrate the effectiveness of the design.

scholarly journals Design and Control of a Grid-connected Seven Level Inverter for Photovoltaic Applications

2019 ◽  
Vol 3 (1) ◽  
pp. 21-27
Author(s):  
Francis Mulolani ◽  
Francis Kafata ◽  
Esau Zulu
Keyword(s):  
Closed Loop ◽  
Pulse Width Modulation ◽  
Harmonic Distortion ◽  
Pi Controller ◽  
Current Control ◽  
International Standards ◽  
Control Technique ◽  
Loop Current ◽  
Grid Synchronization ◽  
Synchronous Reference Frame

This paper presents the design and closed-loop current control of a grid connected seven-level, 3-phase diode-clamped multilevel inverter for Photovoltaic (PV) applications. The proposed closed loop current control technique is based on the voltage-oriented proportional integral (PI) controller theory. The modulation technique used is level-shifted-carrier sinusoidal pulse width modulation (SPWM). The gain values of PI controller were selected to achieve good current quality and dynamic response. Grid synchronization was achieved by using a synchronous-reference frame phase-locked loop (SRF-PLL). Matlab/Simulink was used for the control system design and simulation. The simulation results show that a 1.34% total harmonic distortion (THD) of the output current was achieved which is within the allowable current distortion limits by international standards. The stability of the system was analyzed using pole-zero mapping and root locus.

scholarly journals Simplified Model Predictive Current Control of Primary Permanent-Magnet Linear Motor Traction Systems for Subway Applications

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4144 ◽  
Author(s):  
Wei Wang ◽  
Zhixiang Lu ◽  
Wei Hua ◽  
Zheng Wang ◽  
Ming Cheng
Keyword(s):  
Permanent Magnet ◽  
Sampling Period ◽  
Linear Motor ◽  
Current Control ◽  
Reference Voltage ◽  
Simplified Model ◽  
Voltage Source ◽  
Voltage Vector ◽  
Shortest Distance ◽  
Permanent Magnet Linear Motor

In this paper, a simplified model predictive current control (MPCC) is proposed for the primary permanent-magnet linear motor traction system in subway applications, which is fed by one two-level voltage-source-inverter (VSI). Based on the deadbeat concept, the reference voltage vector is calculated to eliminate the difference between the measured and reference currents in the next sampling period. Due to the discrete feature of the VSI, the reference voltage vector usually cannot be provided. Hence, the distance of a voltage vector is defined, and the voltage vector with the shortest distance is selected as the optimal one, which is called as the shortest distance principle in this paper. According to the shortest distance principle, the distribution of the reference voltage vector is divided into seven sectors, and the optimal voltage vector can be easily determined considering the location of the reference voltage vector. As a result, the computation cost is significantly reduced. However, the performances of MPCC are not affected by this simplification. The equivalence between the proposed and conventional MPCCs is proved in theory. All the theoretical analyses are verified by experimental results.

scholarly journals Grid Synchronisation of Photovoltaic Distributed Generation using Hybrid FUZZY-PI Controller

2019 ◽  
Vol 9 (1) ◽  
pp. 5385-5390
Keyword(s):  
Power Generation ◽  
Distributed Generation ◽  
High Power ◽  
Fuzzy Logic Control ◽  
Power Production ◽  
Pi Controller ◽  
Logic Control ◽  
Fuzzy Pi Controller ◽  
The Cost ◽  
Pv Power Generation

The power generation of the world has to be increased every year as the demand increases rapidly. The high power generations are done by hydro, thermal and atomic. The power production cant is increased every year as the cost of power production increases due to this constraint and increase in high power generation increases pollutions. So the distribution side generation are used, and the PV based power generations are used mostly as the maintenance is less comparatively. The power control in PV power generation is done by DQ technique which is most widely used. It has a PI controller to regulate the real power. In this paper, the fuzzy logic control which is combined with the PI controller is used to increase the controllability of the power system. The MATLAB 2017b is used to do the simulation of the applied technique and the results are discussed with improvements.

scholarly journals Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Yingying Zhao ◽  
Aimin An ◽  
Yifan Xu ◽  
Qianqian Wang ◽  
Minmin Wang
Keyword(s):  
Power Generation ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Current Control ◽  
Pi Control ◽  
Maximum Output ◽  
Generation System ◽  
Pv Modules ◽  
Power Generation System ◽  
Pv Power Generation

AbstractBecause of system constraints caused by the external environment and grid faults, the conventional maximum power point tracking (MPPT) and inverter control methods of a PV power generation system cannot achieve optimal power output. They can also lead to misjudgments and poor dynamic performance. To address these issues, this paper proposes a new MPPT method of PV modules based on model predictive control (MPC) and a finite control set model predictive current control (FCS-MPCC) of an inverter. Using the identification model of PV arrays, the module-based MPC controller is designed, and maximum output power is achieved by coordinating the optimal combination of spectral wavelength and module temperature. An FCS-MPCC algorithm is then designed to predict the inverter current under different voltage vectors, the optimal voltage vector is selected according to the optimal value function, and the corresponding optimal switching state is applied to power semiconductor devices of the inverter. The MPPT performance of the MPC controller and the responses of the inverter under different constraints are verified, and the steady-state and dynamic control effects of the inverter using FCS-MPCC are compared with the traditional feedforward decoupling PI control in Matlab/Simulink. The results show that MPC has better tracking performance under constraints, and the system has faster and more accurate dynamic response and flexibility than conventional PI control.

DFIG Based Wind Power Generation System RSC Controller Design

2014 ◽  
Vol 513-517 ◽  
pp. 3911-3914 ◽  
Author(s):  
Wu Wang ◽  
Yi Min Chu
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Current Control ◽  
Wind Power Generation ◽  
Voltage Source ◽  
Control Loop ◽  
Generation System ◽  
Power Generation System ◽  
Stator Flux ◽  
Stator Flux Oriented

DFIG based wind power generation system was connected to power grid with voltage source converters, the rotor side converter was analyzed and the control strategy was taken, the voltage and flux equations of the DFIG was analyzed, stator flux-oriented for RSC was adopted in the control system and with the control design based on stator flux-oriented (SFO) vector control. The RSC controller of DFIG was a double closed loop system, the rotor current control loop and power control loop was designed with PI, and the simulation shows the control feature.

Grid Interconnected Photo Voltaic System Using Shunt Active Filter for Power Quality Improvement

2018 ◽  
Vol 9 (1) ◽  
pp. 365
Author(s):  
Kala Rathi ◽  
N. Rathina Prabha
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power Quality ◽  
Renewable Energy Sources ◽  
Voltage Source ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Current Harmonics ◽  
Point Tracking ◽  
Photo Voltaic

Now-a-days, power generation and utilization became more complicated which further affects the economy of a country. The available non-renewable energy sources that supply the demanded power do not consider environmental challenges like global warming and pollution. This leads to the development of power generation based on Renewable Energy Resources (RES). These RES are connected to the grid through power electronic converters which offer countless power quality issues that must be rectified to deliver a quality power to the end users. The proposed work uses a three phase Voltage Source Inverter (VSI) based Shunt Active Power Filter (SAPF) fed by solar Photo Voltaic (PV) system to eliminate current harmonics at the source side of the grid. The output of the PV system is given to a boost converter along with self–lift single-ended primary-inductor converter (SEPIC) for supplying high voltage gain which is accompanied by a Perturb & Observe Maximum Power Point Tracking (MPPT).The main objective of this paper is to eliminate the current harmonics at the grid side using SAPF. Also, the proposed SAPF is used for exporting the power generated from PV to the grid. The overall system performance is validated with a help of MATLAB/SIMULINK.

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