Simulation and analysis of maximum power point tracking in a stand alone PV system: A case study using regression analysis and pulse width modulation

2017 ◽  
Author(s):  
Osamede Asowata ◽  
Ruaan Schoeman ◽  
Christo Pienaar
Keyword(s):  
Regression Analysis ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
System A ◽  
Power Point

scholarly journals Performance comparison between PWM and MPPT charge controllers

2019 ◽  
Vol 24 (1) ◽  
pp. 6 ◽  
Author(s):  
Sergio Basilio Sepulveda Mora ◽  
Eduardo Andrés Luna Paipa ◽  
Miguel Angel Laguado Serrano ◽  
Luis Fernando Bustos Márquez
Keyword(s):  
Pulse Width ◽  
Pulse Width Modulation ◽  
Maximum Power Point Tracking ◽  
Performance Comparison ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Para Determinar ◽  
Power Point

Los controladores de carga son implementados en varios sistemas electrónicos con el objetivo de proteger y controlar la carga y descarga de una batería; en el caso de los controladores utilizados en sistemas fotovoltaicos autónomos se implementan dos tipos de tecnologías, Pulse Width Modulation (PWM) y Maximum Power Point Tracking (MPPT). En este artículo se compararon dos controladores de carga con diseños originales en sistemas fotovoltaicos con las mismas especificaciones técnicas para determinar el comportamiento de cada uno bajo condiciones ambientales similares. La implementación de ambos controladores de carga se basó en software y hardware con diseños originales, utilizando tecnología PWM y MPPT. Ambos sistemas están compuestos por el controlador de carga, un panel solar de 30 W y una batería de 12 V a 18 Ah; se realizaron las pruebas experimentales de ambos controladores midiendo voltaje y corriente en el panel y en la batería en procesos de carga y descarga, observando que el controlador MPPT tiene una eficiencia promedio mayor que el controlador PWM debido a que el tipo de tecnología implementada influye directamente en la eficiencia, incluso ante valores menos favorables de radiación solar y temperatura ambiente. El controlador PWM es una opción de eficiencia aceptable y además de bajo costo respecto al controlador MPPT. En la implementación de ambos controladores se calcularon tiempos de autonomía similares.

scholarly journals Power Characteristics Analysis of Maximum Power Point Tracking (MPPT) and Pulse Width Modulation (PWM)

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ilham Ramadhana Chofananda ◽  
Jamaaluddin Jamaaluddin ◽  
Arief Wisaksono ◽  
Izza Anshory
Keyword(s):  
Solar Energy ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Power Characteristics ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Solar energy is a source of energy and has advantages compared to fossil energy. Indeed, further research and development of this type of solar power is needed, including at the University of Muhammadiyah Sidoarjo. The use of solar energy is carried out by installing photovoltaic (PV) cells with a photovoltaic output control system that uses MPPT (Maximum Power Point Tracking) and PWM (Pulse Width Modulation) to regulate the load used and charge the battery. The two PV control methods have different characteristics. These differences will be analyzed based on the characteristics of the load and sunlight contained in the electrical engineering laboratory of the Muhammadiyah University of Sidoarjo. It can be seen from the results of the analysis that at power above 200 W, MPPT has a better voltage stability than PWM.

scholarly journals Implementasi Modul Penyimpanan Energi Ganda untuk Solar Home System

2021 ◽  
Vol 13 (1) ◽  
pp. 40-46
Author(s):  
Cahyantari Ekaputri ◽  
Muhammad Rifqi Azmi ◽  
Sony Sumaryo ◽  
Muhamad Royhan
Keyword(s):  
Pulse Width ◽  
Pulse Width Modulation ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Solar Home System

Solar Home System (SHS) adalah aplikasi pembangkit listrik tenaga surya yang menggunakan Photovoltaic (PV) sebagai energi terbarukan yang dipasang di perumahan. SHS membutuhkan penyimpanan energi untuk menyimpan energi yang dihasilkan oleh PV. Ada banyak penyimpanan energi yang dapat digunakan, tetapi sebagian besar, SHS menggunakan baterai sebagai penyimpanan energi. Dalam penelitian ini, kami menggunakan sistem penyimpanan ganda, seperti penyimpanan yang dipompa sebagai penyimpanan energi hidro dan baterai. Studi ini mengusulkan modul, juga dikenal dengan Solar Charge Controller (SCC), dapat mengubah energi yang ditangkap oleh PV dan menyimpan energi menjadi penyimpanan energi ganda (baterai dan penyimpanan pompa). SCC mengoptimalkan kinerja PV dengan menemukan / melacak titik daya maksimum, juga dikenal dengan Maximum Power Point Tracking (MPPT). SCC juga terdiri dari konverter buck sinkron, yang dikendalikan oleh PWM (Pulse Width Modulation) dari mikrokontroler, dan driver MOSFET sebagai perangkat switching daya. Dari penelitian ini, efisiensi SCC dengan algoritma MPPT mencapai 83,78% sedangkan SCC tanpa algoritma MPPT 75,87%. Sehingga SCC dengan algoritma MPPT adalah 7,91% lebih efisien daripada tanpa algoritma MPPT. Berdasarkan penelitian ini, menggunakan penyimpanan energi ganda (baterai dan penyimpanan pompa) dapat menyimpan daya pada baterai sebesar 95,84 Wh dan 1030 liter air pada pump storage.

Assessing Under Varying Circumstances the Behavior of Photovoltaic Systems of Maximum Power Point Methods.

2019 ◽  
Vol 1 (2) ◽  
pp. 45-51
Author(s):  
Imad A. Elzein ◽  
Yuri N. Petrenko
Keyword(s):  
Comparative Studies ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
System Output ◽  
Power Point ◽  
Design Simplicity

In this article an extended literature surveying review is conducted on a set of comparative studies of maximum power point tracking (MPPT) techniques.  Different MPPT methods are conducted with an ultimate aim of how to be maximizing the PV system output power by tracking Pmax in a set of different operational circumstances. In this paper maximum power point tracking, MPPT techniques are reviewed on basis of different parameters related to the design simplicity and or complexity, implementation, hardware required, and other related aspects.

scholarly journals Maximum Power Point Tracking of PV Systems under Partial Shading Conditions Based on Opposition-Based Learning Firefly Algorithm

2021 ◽  
Vol 13 (5) ◽  
pp. 2656
Author(s):  
Ahmed G. Abo-Khalil ◽  
Walied Alharbi ◽  
Abdel-Rahman Al-Qawasmi ◽  
Mohammad Alobaid ◽  
Ibrahim M. Alarifi
Keyword(s):  
Firefly Algorithm ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Opposition Based Learning ◽  
Power Point Tracking ◽  
Convergence Process ◽  
Power Point

This work presents an alternative to the conventional photovoltaic maximum power point tracking (MPPT) methods, by using an opposition-based learning firefly algorithm (OFA) that improves the performance of the Photovoltaic (PV) system both in the uniform irradiance changes and in partial shading conditions. The firefly algorithm is based on fireflies’ search for food, according to which individuals emit progressively more intense glows as they approach the objective, attracting the other fireflies. Therefore, the simulation of this behavior can be conducted by solving the objective function that is directly proportional to the distance from the desired result. To implement this algorithm in case of partial shading conditions, it was necessary to adjust the Firefly Algorithm (FA) parameters to fit the MPPT application. These parameters have been extensively tested, converging satisfactorily and guaranteeing to extract the global maximum power point (GMPP) in the cases of normal and partial shading conditions analyzed. The precise adjustment of the coefficients was made possible by visualizing the movement of the particles during the convergence process, while opposition-based learning (OBL) was used with FA to accelerate the convergence process by allowing the particle to move in the opposite direction. The proposed algorithm was simulated in the closest possible way to authentic operating conditions, and variable irradiance and partial shading conditions were implemented experimentally for a 60 [W] PV system. A two-stage PV grid-connected system was designed and deployed to validate the proposed algorithm. In addition, a comparison between the performance of the Perturbation and Observation (P&O) method and the proposed method was carried out to prove the effectiveness of this method over the conventional methods in tracking the GMPP.

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

Energies ◽  
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.

AN IMPROVED PERTURBATION AND OBSERVATION BASED MAXIMUM POWER POINT TRACKING METHOD FOR PHOTOVOLTAIC SYSTEMS

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Ammar Hussein Mutlag ◽  
Azah Mohamed ◽  
Hussain Shareef
Keyword(s):  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Fast Tracking ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Simulink Simulation ◽  
Current Voltage ◽  
Accurate Performance ◽  
Power Point

In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P&O algorithm (Im-P&O) based on variable perturbation. The idea behind the Im-P&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P&O based MPPT achieved faster and accurate performance compared with the conventional P&O algorithm.

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