scholarly journals Optimalisasi Stand-Alone Photovoltaic System dengan Implementasi Algoritma P&O-Fuzzy MPPT

2018 ◽  
Vol 10 (1) ◽  
pp. 1-10
Author(s):  
Dimas Juniyanto ◽  
Tatyantoro Andrasto ◽  
Suryono Suryono
Keyword(s):  
Renewable Energy ◽  
Energy Use ◽  
Hardware Implementation ◽  
Electrical Energy ◽  
Buck Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Panels ◽  
Fuzzy Algorithm ◽  
Point Tracking

The need for electrical energy continues to increase every time. Concerns about the depletion of fossil energy reserves encourage the acceleration of the development of renewable energy use. One of renewable energy is the solar energy. Due to the irreversible irradiation conditions, it takes controls to keep the solar panel's maximum power. The most widely in Maximum Power Point Tracking (MMPT) is Perturb Algorithm and Observe (P&O) but P&O Algorithm has deficiency of oscillations when steady state and MPP trace errors when irradiation changes rapidly. In this paper proposed P & O-Fuzzy algorithm is a modification of conventional P & O to improve the efficiency of solar panels. This research uses Matlab for simulation and hardware implementation using microcontroller Arduino Uno and buck converter topology. The result of simulation and hardware implementation, conventional P & O has an average efficiency of 85.03% while MPPT modification with P & O-Fuzzy algorithm can improve MPP tracking efficiency with 89.67%.

Comparison between Seven MPPT Techniques Implemented in a Buck Converter

2019 ◽  
Vol 12 (6) ◽  
pp. 476-486
Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah
Keyword(s):  
Value Added ◽  
Buck Converter ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Low Efficiency ◽  
Power Point

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.

scholarly journals IMPROVING THE EFFICIENCY OF A PHOTOVOLTAIC SYSTEM BY INCORPORATING TRACKING SYSTEM AND MPPT: A REVIEW

2018 ◽  
Vol 17 (1) ◽  
pp. 57
Author(s):  
S Udhayakumar ◽  
R A Sindhu ◽  
R Srivasthan ◽  
Y Yogaraj
Keyword(s):  
Tracking System ◽  
Power Conversion ◽  
Maximum Power ◽  
Photovoltaic System ◽  
The Sun ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The harvesting of solar energy is gaining increasing attention as it is pollution free and is available in abundance. Various researches and experiments are being carried out to improve the efficiency of power conversion by altering the material of the photovoltaic panels, by incorporating tracking systems and by making use of Maximum Power Point Tracking (MPPT) algorithms. The conventional rigidly fixed solar panels limit their area of exposure to the sun during the entire day. The use of tracker increases the area of panel exposed to direct beam of the sun, thus increasing the power generated. MPPT algorithm tracks the maximum power point attained at all loads and extracts the power from the panel at that voltage. Despite the variations in the external environment, the power obtained from the panel is always maximum. This paper reviews various tracking methods and MPPT techniques to increase the energy harvesting capacity of the panel and in turn improve its efficiency.

Research and Simulation of Photovoltaic System MPPT Control Based on Fuzzy Algorithm

2013 ◽  
Vol 740 ◽  
pp. 164-169
Author(s):  
Li Ping Zhang ◽  
Yao Fu Zhu ◽  
Zhong Fan
Keyword(s):  
Duty Cycle ◽  
Impedance Matching ◽  
Size Control ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Step Size ◽  
Pv System ◽  
Fuzzy Algorithm ◽  
Point Tracking

The maximum power point tracking (MPPT) control implements an effective utilization of solar energy. On the basis of the equivalent mathematical model of the photovoltaic (PV) array, presents the fixed step size perturbation and observation method, which has considerable power loss and poor adaptability. Because the existing variable step size control is complex, a fuzzy algorithm controller was designed according to the power variation and the previous step of the duty cycle, which could adjust the duty cycle of PWM dynamically, to make the PV system impedance matching and obtain the maximum power rapidly and steadily. The simulation shows that the self-optimizing fuzzy control can achieve good adaptability and good robustness when the parameters change.

scholarly journals PERANCANGAN ZETA CONVERTER PADA PELACAKAN TITIK DAYA MAKSIMUM PHOTOVOLTAIC MENGGUNAKAN ALGORITMA MODIFIKASI HILL CLIMBING

Foristek ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Irwan Mahmudi ◽  
Jumiyatun Jumiyatun ◽  
Baso Mukhlis ◽  
Lukman Lukman
Keyword(s):  
Power Efficiency ◽  
Electrical Energy ◽  
Maximum Power ◽  
Hill Climbing ◽  
Photovoltaic Module ◽  
Solar Panels ◽  
Hill Climbing Algorithm ◽  
Point Tracking ◽  
Power Point ◽  
Almost All

Electrical energy is a primary need at this time, which almost all human activities require electricity. The electrical energy we use today is a conversion from other energy, partly derived from fossil energy, which is energy that cannot be renewed and will run out if it is continuously explored and exploited. Solar energy is a renewable energy source that has the potential to be converted to electrical energy using solar panels or so-called photovoltaics. Photovoltaic has a drawback in its use, namely the output value is very dependent on environmental conditions. To maximize the power efficiency between the photovoltaic output and the power to be used by the load, a method is needed, namely Maximum Power Point Tracking (MPPT). In the application of this MPPT DC-DC Zeta converter is used with a hill climbing algorithm to achieve the value of the output voltage and current at maximum power. With this method, it is expected that MPPT control is reliable and easy to apply. In this study, the type of photovoltaic module used is the 60 Wp monocrystalline type with sampling data once an hour from 09.00 - 17.00 WITA, the tracking speed data obtained by the modified hill climbing algorithm is 0.142 seconds on average with an average efficiency of 99.969 %.

scholarly journals Efficiency Performances of Two MPPT Algorithms for PV System With Different Solar Panels Irradiancess

2018 ◽  
Vol 9 (4) ◽  
pp. 1755 ◽  
Author(s):  
Ali Abdulwahhab Abdulrazzaq ◽  
Adnan Hussein Ali
Keyword(s):  
Renewable Energy ◽  
Electrical Energy ◽  
Maximum Energy ◽  
Solar Array ◽  
Solar Panels ◽  
Matlab Simulation ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

<span lang="EN-US">A main source of current renewable energy is solar energy. This source of renewable energy can be converted to electrical energy using solar photovoltaic (PV) cells. The Maximum Power Point Tracking (MPPT) earns for maximum energy extractor from PV panels by different irradiance levels. In this paper, overall efficiency of most two popular MPPT techniques utilized in PV applications are analyzed, these  algorithms are Perturb and Observe (P&amp;O) and Incremental Conductance (INC). An analysis of the results for the algorithms based on MATLAB simulation for various changes in solar irradiance is performed. Results showed that the efficiency of P&amp;O algorithm was higher than that of the INC, but to obtain the same performance for both, more concentrated calculations should be used for INC. In measuring the output power, current and voltage responses, the use of a solar array having constant and variable irradiations was employed as input for the algorithms. The output waveforms which were derived from a simulation run for the purpose of obtaining the algorithms response to changes in solar array irradiations were compared. In general, the consequences of the P&amp;O algorithm are quiet good and adequate. However, there is a need to improve the algorithm so as to satisfy the requirements of face confident timing in addition to its rapid response so as to make its performance better than that of InCond algorithms.</span>

scholarly journals Perturb and Observe Algorithm in Maximum Power Point Tracking (MPPT) for Solar Generation

2020 ◽  
Vol 9 (4) ◽  
pp. 547-549
Keyword(s):  
Operating Cost ◽  
Photovoltaic Cells ◽  
Electrical Energy ◽  
Power Source ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Sustainable Power

The photovoltaic system is one of the promising sustainable power source advancements. In spite of the fact that the energy conversion productivity of the framework is still low, it has the preferred position that the operating cost is free. MPPTMaximum power point tracking is a critical part of photovoltaic frameworks. Solar energy based vitality is viewed as one of the significant sources of sustainable power source, accessible in abundance and furthermore free of cost. Solar based photovoltaic cells are utilized to change over solar-based energy into unregulated electrical energy. These solar oriented photovoltaic cells show nonlinear qualities and give low productivity. In this method, it gets basic to extricate maximum power from solar oriented photovoltaic cells utilizing MPPT. This paper proposes P&O algorithm for refining the proficiency of the single-stage grid-associated power conversion framework. Further, this paper recommends a coordinated controller that is utilized to progress the nature of the power supply to the grid.

scholarly journals Efficiency improvement of photovolatic by using maximum power point tracking based on a new fuzzy logic controller

2018 ◽  
Vol 9 (2) ◽  
pp. 57
Author(s):  
Machmud Effendy ◽  
Nuralif Mardiyah ◽  
Khusnul Hidayat
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Buck Converter ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Fuzzy Algorithm ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Maximum power point tracking (MPPT) is a technique to maximize the power output of photovoltaic (PV). Therefore, to achieve higher PV efficiency, the development of MPPT control algorithm is necessary. Recently, it was revealed that fuzzy logic controller (FLC) is better than other control algorithms and is possible toe developed. This study fabricated and implemented MPPT based on the proposed a new FLC. Input Calculator (IC) via sensors reads current and voltage of PV and generates the comparison of voltage and current of PV, then IC output becomes fuzzy algorithm input. Fuzzy algorithm produces duty cycle that drives synchronous buck converter. The result showed that MPPT system with proposed FLC method has 99.1% efficiency while MPPT system with P&O method has 95.5% efficiency. From the obtained result, it can be concluded that the MPPT based on the proposed FLC can increase the overall efficiency of the system to 99.3%.

scholarly journals An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system

2020 ◽  
Vol 11 (2) ◽  
pp. 1082 ◽  
Author(s):  
Aji Akbar Firdaus ◽  
Riky Tri Yunardi ◽  
Eva Inaiyah Agustin ◽  
Sisca D. N. Nahdliyah ◽  
Teguh Aryo Nugroho
Keyword(s):  
Output Power ◽  
Weather Conditions ◽  
Electrical Energy ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Time Required

Photovoltaic (PV) is a source of electrical energy derived from solar energy and has a poor level of efficiency. This efficiency is influenced by PV condition, weather, and equipments like Maximum Power Point Tracking (MPPT). MPPT control is widely used to improve PV efficiency because MPPT can produce optimal power in various weather conditions. In this paper, MPPT control is performed using the Fuzzy Logic-Particle Swarm Optimization (FL-PSO) method. This FL-PSO is used to get the Maximum Power Point (MPP) and minimize the output power oscillation from PV. From the simulation results using FL-PSO, the values of voltage, and output power from the boost converter are 183.6 V, and 637.7 W, respectively. The ripple of output power from PV with FL-PSO is 69.5 W. Then, the time required by FL-PSO reaches MPP is 0.354 s. Compared with MPPT control based on the PSO method, the MPPT technique using FL-PSO indicates better performance and faster than the PSO.

scholarly journals A novel hysteresis power point optimizer for distributed solar power generation

2018 ◽  
Vol 14 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Oleksandr Veligorskyi ◽  
Oleksandr Husev ◽  
Viktor Shevchenko ◽  
Kostiantyn Tytelmaier ◽  
Roman Yershov ◽  
...  
Keyword(s):  
Power Systems ◽  
High Efficiency ◽  
Maximum Power Point Tracking ◽  
Buck Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Abstract This paper proposes a new photovoltaic panel maximum-power-point optimizer based on a buck converter. It can be connected to the DC-link distributed energy harvesting system that should perform the true maximum-power-point tracking algorithm based on maintaining a constant DC link voltage. The algorithm is based on the sensorless hysteresis control and ensures high efficiency. Three different realizations of proposed hysteresis optimizers have been analyzed in the paper, including operation principle and adjustment of hysteresis intervals. An experimental study has been performed for a portable low-power photovoltaic system in case of different loads and irradiance levels. The efficiency of maximum power point tracking has been calculated analytically for different hysteresis intervals and validated by experiment, which proved a 97-98 % efficiency of tracking for different PV panel temperatures. The proposed solution is recommended to be used in small- and medium-sized power systems where the price of the conventional maximum power point tracking converter is very high and is comparable to the cost of the individual panel

Sign in / Sign up

Export Citation Format

Share Document