A Grid-Connected PV System Based on Z-source Inverter with Maximum Power Extraction

2021 ◽  
Author(s):  
Ihab Jamal Al Essawy ◽  
Mahmoud F. Elmorshedy ◽  
Sherif M. Dabour ◽  
Essam M. Rashad ◽  
Md Rabiul Islam
Keyword(s):  
Maximum Power ◽  
Pv System ◽  
Power Extraction

Maximum Power Extraction from PV System Using Fuzzy Logic

2019 ◽  
Vol 7 (4) ◽  
pp. 835-840
Author(s):  
Dhruv M. Dhivar ◽  
M.B. Jhala ◽  
M. K. Kathiria
Keyword(s):  
Fuzzy Logic ◽  
Maximum Power ◽  
Pv System ◽  
Power Extraction

scholarly journals Hybrid Fuzzy Based MPPT Techniques for Maximum Power Extraction

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Pv System ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.

scholarly journals Power Maximization in Standalone Photovoltaic System: An Adaptive PSO Approach

2022 ◽  
Author(s):  
Anbarasi MP ◽  
Kanthalakshmi S
Keyword(s):  
Weighting Factor ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Power Extraction ◽  
Power Maximization ◽  
Adaptive Pso ◽  
Power Point ◽  
Controller Board

Abstract A control strategy for power maximization which is an important mechanism to extract maximum power under changing environmental conditions using Adaptive Particle Swarm Optimization (APSO) is proposed in this paper. An Adaptive Inertia Weighting Factor (AIWF) is utilised in the velocity update equation of traditional PSO for the improvement in speed of convergence and precision in tracking Maximum Power Point (MPP) in standalone Photovoltaic system. Adaptation of weights based on the success rate of particles towards maximum power extraction is the most promising feature of AIWF. The inertia weight is kept constant in traditional PSO for the complete duration of optimization process. The MPPT in PV system poses a dynamic optimization problem and the proposed APSO approach paves way not only to track MPP under uniform irradiation conditions, but also to track MPP under non uniform irradiation conditions. Simulations are done in MATLAB/Simulink environment to verify the effectiveness of proposed technique in comparison with the existing PSO technique. With change in irradiation and temperature, the APSO technique is found to provide better results in terms of tracking speed and efficiency. Hardware utilizing dSPACE DS1104 controller board is developed in the laboratory to verify the effectiveness of APSO method in real time.

scholarly journals Investigation of Photovoltaic Grid System under Non-Uniform Irradiance Conditions

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1512
Author(s):  
Mithun Madhukumar ◽  
Tonse Suresh ◽  
Mohsin Jamil
Keyword(s):  
Maximum Power ◽  
Solar Irradiation ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Pv System ◽  
Power Extraction ◽  
Pv Array ◽  
Grid Synchronization ◽  
Incremental Conductance ◽  
Conductance Method

Photovoltaic (PV) systems have recently been recognized as a leading way in the production of renewable electricity. Due to the unpredictable changes in environmental patterns, the amount of solar irradiation and cell operating temperature affect the power generated by the PV system. This paper, therefore, discusses the grid-integrated PV system to extract maximum power from the PV array to supply load requirements and the supply surplus power to the AC grid. The primary design is to have maximum power point tracking (MPPT) of the non-uniformly irradiated PV array, conversion efficiency maximization, and grid synchronization. This paper investigates various MPPT control algorithms using incremental conductance method, which effectively increased the performance and reduced error, hence helped to extract solar array’s power more efficiently. Additionally, other issues of PV grid-connected system such as network stability, power quality, and grid synchronization functions were implemented. The control of the voltage source converter is designed in such a way that PV power generated is synchronous to the grid. This paper also includes a comparative analysis of two MPPT techniques such as incremental conductance (INC) and perturb-and-observe (P&O). Extensive simulation of various controllers has been conducted to achieve enhanced efficient power extraction, grid synchronization and minimal performance loss due to dynamic tracking errors, particularly under fast-changing irradiation in Matlab/Simulink. The overall results favour INC algorithm and meet the required standards.

Real-Time Digital Simulation and Analysis of Sliding Mode and P&O MPPT Algorithms for a PV System

2015 ◽  
Vol 16 (4) ◽  
pp. 313-322 ◽  
Author(s):  
Venkata Ratnam Kolluru ◽  
Kamalakanta Mahapatra ◽  
Bidyadhar Subudhi
Keyword(s):  
Steady State ◽  
Real Time ◽  
Sliding Mode ◽  
Boost Converter ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Step Size ◽  
Pv System ◽  
Steady State Condition ◽  
Power Extraction

Abstract This paper presents an integral Sliding Mode Controller (SMC) of a DC-DC boost converter integrated with a photovoltaic (PV) system for maximum power extraction. In view of improving the steady-state performance of the maximum power point tracking (MPPT), an integral of the error term is included in the sliding surface. The output of PV panels is connected to a DC-DC boost converter to regulate and enhance the voltage up to a desired level. By using SMC with integral term, the steady-state condition is obtained at less than 0.1 sec. With the proposed ISMC MPPT the maximum power extracted is more than 10% than the traditional Perturb & Observe (P&O) MPPT at standard test conditions (STC). The results obtained using the SMC are compared with that of the fixed step size P&O MPPT controller. The performances of the proposed sliding mode controller and the P&O controller are validated through experimentations using a Real-Time Digital Simulator (RTDS)-Opal RT.

scholarly journals Particle Swarm Optimization Technique for Photovoltaic System

2020 ◽  
Vol 8 (5) ◽  
pp. 1448-1451
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Swarm Optimization ◽  
Power Extraction ◽  
Pv Panel ◽  
Particle Swarm Optimization Technique

Day by day the dependency on renewable energy uses has been increasing because of no greenhouse emission and abundant in nature available freely, this paper, presents a comparative analysis of an optimization technique called Particle Swarm Optimization (PSO) along with Perturb & Observe (P&O) for the extraction of maximum power from the PV panel. The performances of P&O and PSO techniques were compared for different insolations and temperatures. A detailed and rigorous mathematical model along with simulation results and its performance for maximum power extraction from the panel were analyzed by using P&O and PSO. It has been observed that the maximum power obtained from PSO model is more than the maximum power obtained from P&O for different insolations and temperatures. Thus PSO is much better and more suitable for extracting maximum power from PV system.

scholarly journals Extreme Power Point Tracking to Yield Maximum Power in Solar Grid System

2018 ◽  
Vol 7 (2.32) ◽  
pp. 459
Author(s):  
D Seshi Reddy ◽  
G S.S.susmitha ◽  
N Yamini ◽  
N Yashwanth
Keyword(s):  
Operating Conditions ◽  
Maximum Power ◽  
Operating Voltage ◽  
Solar Pv ◽  
Pv System ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Wide Range ◽  
Power Point

To minimize power losses by limiting maximum feed-in power in a PV system. By this, we can get a stable powergenerationoperation. There are currently two types of charge controllers commonly used in Solar PV grid connected power system, (i) PWM (pulse width modulation) & MPPT (Maximum Power Point Tracking). Present solar inverter are not performing good yielding for wide range of irradiance and temperature. In this paper, MPPT adoption target to improve the performance when solar cell temperature varies from moderate to maximum from 450C to 750C. We used modified Perturb and Observation P&O MPPT technique, because it modifies the operating voltage or current of PV panel until we get maximum power extraction at wide range of operating conditions. Another technique opted in this paper, PWM charge controller is a good low cost solution for small capacity inverters only. In DC - DC converter switching strategy such that optimizes charge distribution between the battery bank or utility grid. In this we use only voltage sensor at PV array along with irradiance and temperature inputs and same had simulated in MATLAb2017a environment. The results obtained are satisfactory with consistant performance for wide range of temperature.  

scholarly journals Design and Analysis of a Stand-Alone PV System for a Rural House in Pakistan

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Amjad Iqbal ◽  
M. Tariq Iqbal
Keyword(s):  
System Design ◽  
Dynamic Model ◽  
Maximum Power ◽  
Pv System ◽  
Matlab Simulink ◽  
Load Profile ◽  
Power Extraction ◽  
The World ◽  
Simulation Results ◽  
Stable Voltage

In this paper, thermal modeling of a typical rural house in Pakistan has been done using BEopt, to determine the hourly load profile. Using the load data, the design of a stand-alone PV system has been completed using HOMER Pro. The designed system consists of a 5.8 kW PV with eight batteries of 12 V, 255 Ah, and a 1.4 kW inverter. The system analyses show that such system can support mainly lighting and appliance load in a rural house. The dynamic model of the designed system has been simulated in MATLAB-Simulink. Perturbation and observation-based algorithm has been used for maximum power extraction from PV. Simulation results indicate that the system can provide a stable voltage and frequency for the domestic load. The method and analysis presented here can be used for the PV system design for other parts of the world.

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