Control of Power and Voltage of Solar Grid Connected

Renewable energy is high on international agendas. Currently, grid-connected photovoltaic systems are a popular technology to convert solar energy into electricity. Control of power injected into the grid, maximum power point, high efficiency, and low total harmonic distortion of the currents injected into the grid are the requirements for inverter connection into the grid. Consequently, the performance of the inverters connected to the grid depends largely on the control strategy applied. In this paper the simulation and design of grid connected three phase photovoltaic system using Matlab/Simulink has examined. The proposed system consists photovoltaic panels, boost and inverter the PV system convert the sun irradiation into direct current, thereafter we have used a boost to track the maximum power point of the PV system, three-phase inverter and LC output filter. A VOC control strategy based on the phase shifting of the inverter output voltage with respect to the grid voltage. The proposed control strategy requires few hardware and computational resources. As a result, the inverter implementation is simple, and it becomes an attractive solution for low power grid connected applications.

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The Simulative Research of Three-Phase PV Grid-Connected Control System Based on SVPWM Inverter

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.325-326.538 ◽

2013 ◽

Vol 325-326 ◽

pp. 538-542

Author(s):

Qi Ming Cheng ◽

Xiao Qing Hu ◽

Kai Wu ◽

Yuan Fei Bai

Keyword(s):

Control System ◽

Control Strategy ◽

Simulation Analysis ◽

Maximum Power ◽

System Control ◽

Pv System ◽

Maximum Power Point ◽

Three Phase ◽

Power Point ◽

Pv Grid

The PV grid-connected control system is mainly related to a few key issues that are characteristics of photovoltaic cells, maximum power point tracking and grid-connected control of three-phase inverter. In this paper, simulation analysis and study of the three-phase grid-connected PV system control strategy. The control strategy of the three-phase PV grid-connected system is analyzed and studied by simulative experiment in this paper. First, a mathematical model of solar cells is established, then the algorithms based on perturb & observe to track maximum power point is used; Secondly, the structure of three-phase PV grid-connected system is introduced, and the space vector SVPWM controller is used to control the grid-connected inverter; Finally, the simulative results on Matlab/Simulink software show that SVPWM inverter control strategy is superior to the traditional hysteresis current inverter control strategy, which illustrates the reliability and superiority of SVPWM control strategy.

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Robust Control Strategy for Maximum Power Point Tracking and Unity Power Factor of a Three Phase Grid Connected Photovoltaic System

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v9i2.8260 ◽

2016 ◽

Vol 9 (2) ◽

pp. 95

Author(s):

Hicham Bahri ◽

Mohamed Aboulfatah ◽

M'hammed Guisser ◽

Elhassane Abdelmounim

Keyword(s):

Robust Control ◽

Power Factor ◽

Control Strategy ◽

Photovoltaic System ◽

Unity Power Factor ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Three Phase ◽

Power Point

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A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions

Energies ◽

10.3390/en14092521 ◽

2021 ◽

Vol 14 (9) ◽

pp. 2521

Author(s):

Alfredo Gil-Velasco ◽

Carlos Aguilar-Castillo

Keyword(s):

Maximum Power ◽

Global Maximum ◽

Pv System ◽

Maximum Power Point ◽

Partial Shading ◽

Pv Systems ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point ◽

Computational Resources

There are multiples conditions that lead to partial shading conditions (PSC) in photovoltaic systems (PV). Under these conditions, the harvested energy decreases in the PV system. The maximum power point tracking (MPPT) controller aims to harvest the greatest amount of energy even under partial shading conditions. The simplest available MPPT algorithms fail on PSC, whereas the complex ones are effective but require high computational resources and experience in this type of systems. This paper presents a new MPPT algorithm that is simple but effective in tracking the global maximum power point even in PSC. The simulation and experimental results show excellent performance of the proposed algorithm. Additionally, a comparison with a previously proposed algorithm is presented. The comparison shows that the proposal in this paper is faster in tracking the maximum power point than complex algorithms.

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A Comparative Study on Maximum Power Point Tracking Techniques of Photovoltaic Systems

International Journal of Energy Optimization and Engineering ◽

10.4018/ijeoe.2018010104 ◽

2018 ◽

Vol 7 (1) ◽

pp. 66-85 ◽

Cited By ~ 2

Author(s):

Afef Badis ◽

Mohamed Habib Boujmil ◽

Mohamed Nejib Mansouri

Keyword(s):

High Efficiency ◽

Maximum Power Point Tracking ◽

Maximum Power ◽

Pv System ◽

Maximum Power Point ◽

Partial Shading ◽

Point Tracking ◽

Power Point Tracking ◽

Conventional Methods ◽

Power Point

This article concerns maximizing the energy reproduced from the photovoltaic (PV) system, ensured by using an efficient Maximum Power Point Tracking (MPPT) process. The process should be fast, rigorous and simple for implementation because the PV characteristics are extremely affected by fast changing conditions and Partial Shading (PS). PV systems are popularly known to have many peaks (one Global Peak (GP) and several local peaks). Therefore, the MPPT algorithm should be able to accurately detect the unique GP as the maximum power point (MPP), and avoid any other peak to mitigate the effect of (PS). Usually, with no shading, nearly all the conventional methods can easily reach the MPP with high efficiency. Nonetheless, they fail to extract the GP when PS occurs. To overcome this problem, Evolutionary Algorithms (AEs), namely the Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are simulated and compared to the conventional methods (Perturb & Observe) under the same software.

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An Intelligent Maximum Power Point Tracking Algorithm for Photovoltaic System

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.35.22861 ◽

2018 ◽

Vol 7 (4.35) ◽

pp. 457

Author(s):

M. I. Iman ◽

M. F. Roslan ◽

Pin Jern Ker ◽

M. A. Hannan

Keyword(s):

Fuzzy Logic Controller ◽

Boost Converter ◽

Maximum Power ◽

Photovoltaic System ◽

Resistive Load ◽

Pv System ◽

Maximum Power Point ◽

Point Tracking ◽

Pv Panel ◽

Power Point

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P&O and FLC techniques.

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An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems

International Journal of Photoenergy ◽

10.1155/2014/818232 ◽

2014 ◽

Vol 2014 ◽

pp. 1-11 ◽

Cited By ~ 19

Author(s):

M. Abdulkadir ◽

A. H. M. Yatim ◽

S. T. Yusuf

Keyword(s):

Control Strategy ◽

Real Data ◽

Weighting Factor ◽

Maximum Power ◽

Photovoltaic System ◽

Maximum Power Point ◽

Incremental Conductance ◽

Conductance Method ◽

Accelerate Convergence ◽

Power Point

This paper presents a control strategy proposed for power maximizing which is a critical mechanism to ensure power track is maximized. Many tracking algorithms have been proposed for this purpose. One of the more commonly used techniques is the incremental conductance method. In this paper, an improved particle swarm optimization- (IPSO-) based MPPT technique for photovoltaic system operating under varying environmental conditions is proposed. The approach of linearly decreasing scheme for weighting factor and cognitive and social parameter is modified. The proposed control scheme can overcome deficiency and accelerate convergence of the IPSO-based MPPT algorithm. The approach is not only capable of tracking the maximum power point under uniform insolation state, but also able to find the maximum power point under fast changing nonuniform insolation conditions. The photovoltaic systematic process with control schemes is created using MATLAB Simulink to verify the effectiveness with several simulations being carried out and then compared with the conventional incremental conductance technique. Lastly, the effectiveness of the intended techniques is proven using real data obtained form previous literature. With the change in insolation and temperature portrait, it produces exceptional MPPT maximization. This shows that optimum performance is achieved using the intended method compared to the typical method.

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Research of MPPT Using Support Vector Machine for PV System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.441.268 ◽

2013 ◽

Vol 441 ◽

pp. 268-271

Author(s):

De Da Sun ◽

Da Hai Zhang ◽

Yang Liu

Keyword(s):

Support Vector Machine ◽

Power Systems ◽

High Efficiency ◽

Environmental Changes ◽

Maximum Power ◽

Solar Irradiation ◽

Support Vector ◽

Pv System ◽

Maximum Power Point ◽

Power Point

Photovoltaic (PV) power systems are widely used today, so its useful to study how to make the PV maximum power output. In this paper a novel approach based on Support Vector Machine (SVM) for maximum power point tracking (MPPT) of PV systems is presented. The output power characteristics of PV cells vary with solar irradiation and temperature, so the controllers inputs is the level of solar radiation and ambient temperature of the PV module, and the voltage at maximum power point (MPP) is the output. Results show that the proposed MPPT controller based on SVM is sensitive to environmental changes and has high efficiency and less Mean Square Error (MSE).

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An Intelligent Incremental Conductance MPPT Method for a Photovoltaic System

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.480-481.739 ◽

2011 ◽

Vol 480-481 ◽

pp. 739-744

Author(s):

Kuei Hsiang Chao ◽

Yu Hsu Lee

Keyword(s):

Maximum Power ◽

Photovoltaic System ◽

Step Size ◽

Pv System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Incremental Conductance ◽

Power Point ◽

Array Output

In this paper, a novel incremental conductance (INC) maximum power point tracking (MPPT) method based on extension theory is developed to make full use of photovoltaic (PV) array output power. The proposed method can adjust the step size to track the PV array’s maximum power point (MPP) automatically. Compared with the conventional fixed step size INC method, the presented approach is able to effectively improve the dynamic response and steady state performance of a PV system simultaneously. A theoretical analysis and the design principle of the proposed method are described in detail. Some simulation results are performed to verify the effectiveness of the proposed MPPT method.

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