scholarly journals Implementasi MPPT Panel Surya Berbasis Algoritma Perturbasi & Observasi (PO) Menggunakan Arduino

2021 ◽  
Vol 2 (2) ◽  
pp. 162-167
Author(s):  
Haris Masrepol ◽  
Muldi Yuhendri

Solar panels are a renewable energy power plant that uses sunlight as its main energy source. The power generated by solar panels are determined by the size of the solar panels, solar radiation and temperature. The power of the solar panels is also determined by the output voltage of the solar panels. To get the maximum output power at any time, it is necessary to adjust the output voltage of the solar panel. This study proposes controlling the maximum output power of solar panels, also known as maximum power point tracking (MPPT) by adjusting the output voltage of the solar panels using a buck converter. The buck converter output voltage regulation at the maximum power point of the solar panel is designed with the Perturbation and Observation (PO) algorithm which is implemented using an Arduino Mega 2560. This MPPT control system is applied to 4x50 Watt-Peak (WP) solar panels which are connected in parallel. The experimental results show that the proposed MPPT control system with the PO algorithm has worked well as expected. This can be seen from the output power generated by the solar panels already around the maximum power point at any change in solar radiation and temperature.

2019 ◽  
Vol 14 (1) ◽  
pp. 170-181
Author(s):  
Hassan Kenjrawy ◽  
Carlo Makdisie ◽  
Issam Housamo ◽  
Hassan Haes Alhelou

The use of renewable resources for energizing the modern power systems has recently increased due to its sustainability and low operating costs. Photovoltaic (PV) system appears to be a good solution due to the fact that it can be established and operated locally. However, the maximum output power of these systems is usually achieved by using the maximum sun and power point (MPP) tracking techniques. This paper suggests a novel genetic algorithm (GA)-based technique to obtain the maximum output power of practical PV system located in the Latakia province of Syria. Based on this technique, azimuth and elevation angles of solar panels located in Latakia are first determined to track maximum radiation of the sun for every day of the whole year. After that, a GA-based technique is developed to track the maximum power point corresponding to maximum radiation during the year. Simulation results in MATLAB environment demonstrate the validation and effectiveness of the proposed GA-based technique to obtain the maximum generated power of the PV system. The results of this research can be easily adopted as a database reference to design the PV control system.


The Impedance Source based DC to AC or DC (Z-source DAD) converter converts the given DC voltage to AC or DC. In a solar photovoltaic (SPV) system, the solar panel output voltage is DC voltage, and this voltage will be converted to AC or DC by Z-source DAD converter. To get maximum output power from the panel, a modified perturb and observe (P&O) maximum power point technique (MPPT) is implemented with a Z-source DAD converter. This single-stage MPPT integrated Z-source DAD converter eliminates the conventional multi-stage SPV system, and also, the output voltage of this SPV system is either AC or DC voltage. The simulations are performed with MATLAB-Simulink software, and the hardware circuit is constructed with a microcontroller-based SPV system. The MATLAB-Simulink simulation and hardware output shows the ability of the modified P&O algorithm based MPPT integrated Z-source DAD converter.


2020 ◽  
Vol 1 (2) ◽  
pp. 218-223
Author(s):  
Muldi Yuhendri ◽  
Gatot Santoso Putra

Solar power plant (PLTS) is a renewable energy power plant that is starting to develop in Indonesia as fossil energy is decreasing as the main energy source for electricity generation. This PLTS works by converting sunlight energy into electrical energy using solar panels. Increasing the efficiency of PLTS can be done by controlling the solar panels at their maximum power point. The maximum power point of the solar panels can be obtained by finding the maximum solar radiation or by controlling the output voltage of the solar panels at the maximum power point using a power converter. This research proposed a maximum power point of solar panels by regulate the output voltage using boost converter, which is also called the maximum power point tracking (MPPT). MPPT control system is proposed using an incremental conductance algorithm which is implemented using Arduino Mega 2560 programmed with Matlab simulink. MPPT control system is designed for four 50 WP solar panels connected in parallel. The experimental results show that the proposed MPPT control system with the incremental conductance algorithm is able to control the output power of the solar panels at the maximum point


Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah

Background: The solar field on our planet is inexhaustible, which favors the use of photovoltaic electricity which generates no nuisance: no greenhouse gases, no waste. Methods: It is a high value-added energy that is produced directly at the place of consumption through photovoltaic (PV) solar panels. Notwithstanding these advantages, the maximum power depends strongly on solar irradiation and temperature, which means that a Maximum Power Point Tracking (MPPT) controller must be inserted between the PV panel and the load in order to follow the Maximum Power Point (MPP) continuously and in real time. In this work, MPP’s behavior was simulated at different temperatures and solar irradiations using seven techniques which identify the MPP by different methods. Results: The novelty of this work is that the seven MPPT methods were compared according to a very selective criterion which is the MPPT efficiency as well as a purely digital duty cycle control without using the PI controller. The simulation under the PSIM software shows that the FLC, TP, FSCC, TG, HC and IC methods have almost the same efficiency of 99%, whereas the FOCV method had a low efficiency of 96%. Conclusion: This makes it possible to conclude that the best methods are FLC, HC and IC because they use fewer sensors compared to the rest.


AVITEC ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Ernando Rizki Dalimunthe

Optimizing the output power value of a solar cell requires a tracker. The tracking is called the maximum power point tracking (MPPT) which will produce a maximum output power value. Each component in this system is modeled into Simulink. This simulation is designed to optimize the work of solar cells by searching maximum power points using perturb and observe (P & O) algorithms, then duty cycles are output  of the algorithms become Buck-Boost Converter inputs as switching so they can produce output power with better output  power. Simulation results show that MPPT can increase the average output power on changes in the value of sun irradiation, temperature and load than systems that do not use MPPT. The factor of the average difference in power is 37.82%.


2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Mohsen Taherbaneh ◽  
A. H. Rezaie ◽  
H. Ghafoorifard ◽  
K. Rahimi ◽  
M. B. Menhaj

In applications with low-energy conversion efficiency, maximizing the output power improves the efficiency. The maximum output power of a solar panel depends on the environmental conditions and load profile. In this paper, a method based on simultaneous use of two fuzzy controllers is developed in order to maximize the generated output power of a solar panel in a photovoltaic system: fuzzy-based sun tracking and maximum power point tracking. The sun tracking is performed by changing the solar panel orientation in horizontal and vertical directions by two DC motors properly designed. A DC-DC converter is employed to track the solar panel maximum power point. In addition, the proposed system has the capability of the extraction of solar panelI-Vcurves. Experimental results present that the proposed fuzzy techniques result in increasing of power delivery from the solar panel, causing a reduction in size, weight, and cost of solar panels in photovoltaic systems.


Author(s):  
Pham Thi Viet Huong ◽  
Mac Khuong Duy ◽  
Tran Anh Vu ◽  
Dang Anh Viet ◽  
Minh - Trien Pham

During the last few years, the demand for solar photovoltaic (PV) energy has grown remarkably since it provides electricity from an exhaustible and clean energy source. The generated power of solar panels depends on environment conditions, which changes continuously due to many factors, for example, the radiation, the characteristics of the load, etc. In order for the solar energy system operates at its most efficiency, it needs to work at its maximum power point (MPP). Previous literature has dealt with either investigating Maximum Power Point Tracking (MPPT) algorithms or tracking a steady output voltage from solar panels. However, when the load is changed, the new MPP need to be defined. In this paper, a novel adaptive MPPT system was proposed to investigate the MPP and keep tracking MPP at the same time. The proposed system was implemented in Proteus simulation. As the results, when the load is changing, the system obtained a steady and reliable desired output voltage. It is not only able to obtain a reliable steady DC output voltage but also keep the solar energy system work at its maximum efficiency.


Author(s):  
Mohamad Nassereddine ◽  
Mahmood Nagrial ◽  
Jamal Rizk ◽  
Ali Hellany

Abstract Renewable energy is becoming an essential element when it comes to climate change greenhouse issues. To aid in reducing the CO2 emission into the environment, numerous governments support individual investments in solar system on their residential rooftop. A set of regulations were established by the local utilities to control and manage the input energy power into the grid from the rooftop-installed solar system. One of the main regulation is the maximum allowable size of the single-phase solar inverter. The solar inverter size has direct impact on the maximum PV panels installed on the house rooftop, which control the house maximum electrical output power. In addition, the solar panels are solidly fixed on the house roof, which doesn’t allow to track the sun energy during the day. This also reduces the house output power during a nominal period throughout the day. The study in this paper introduces the maximum power point box that allow the house owner to maximize the output energy during the morning, midday and afternoon period without the need to upgrade the inverter or the single phase system for the house. Also the proposal allows for more efficient building integration between solar panels and building design, which reduces the cost of the proposed system. Case study is also included.


2020 ◽  
Vol 190 ◽  
pp. 00026
Author(s):  
Mohammad Luthfansyah ◽  
Suyanto Suyanto ◽  
Abu Bakarr Momodu Bangura

Maximum Power Point Tracking (MPPT) is a method that can be used to optimize the electrical power output from solar panels. The performance of the MPPT method on solar panel systems can be influenced by many variables. One of them is the selection of a DC-DC power converter. DC-DC-DC Converter is a component that is used to optimize the performance of solar panels. Several types of DC-DC Converter are Buck, Buck-Boost, Single Ended Primary Inductance Converter (SEPIC), and CUK. Each converter has a different effect on solar panels output power. In order to observe and make a comprehensive analysis, simulations are performed through PSIM (Power Simulator) software on the performance of several DC-DC Converters that use Flower Pollination Algorithm (FPA) as the MPPT algorithm. Variables that observed are the output power characteristic, the response of the voltage-current ripple signal, and the accuracy of the converter in the process of reaching the maximum power point condition. As a result, CUK converter can obtain the highest value of solar panel output power, 145.02 W. A low ripple level with a stable power value response is entirely generated by CUK and SEPIC Converter. Overall, for this system, the CUK converter has better performance than the other converters.


Author(s):  
Venkata Madhava Ram Tatabhatla ◽  
Anshul Agarwal ◽  
Tirupathiraju Kanumuri

The panels in the solar photo-voltaic array receive different levels of irradiation under shading conditions. This degrades the desired output power and results in multiple peaks within the voltage-power characteristics because of mismatch in row currents. Consequently, tracking of the global maximum power point seeks more complex algorithms. In order to mitigate the effects of shading, this work presents a novel reconfiguration technique that relocates the panels of conventional TCT configuration using TomTom puzzle pattern. In the proposed work, physical locations of shaded and unshaded panels are moved without altering the electrical circuitry. The proposed TomTom reconfiguration dilutes the concentrated shade, minimises the mismatch of row currents and yields maximum output power with less number of peaks in voltage-power characteristics. In addition to that, the behaviour of solar photo-voltaic array under moving shading conditions is also evaluated to highlight the potential of the proposed reconfiguration scheme.


Sign in / Sign up

Export Citation Format

Share Document