scholarly journals DEVELOPMENT OF MATHEMATICAL MODELS FOR INVESTIGATING MAXIMAL POWER POINT TRACKING ALGORITHMS / MATEMATINIS SAULĖS ENERGIJOS SRAUTO MODELIS DIDŽIAUSIOS GALIOS TAŠKO SAULĖS ELEMENTUOSE SEKIMO ALGORITMAMS TIRTI

2012 ◽  
Vol 4 (1) ◽  
pp. 51-55
Author(s):  
Dominykas Vasarevičius ◽  
Modestas Pikutis
Keyword(s):  
Real Life ◽  
Weather Conditions ◽  
Electrical Energy ◽  
Cell Models ◽  
Solar Insolation ◽  
Matlab Simulink ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Maximal Power Point Tracking

Solar cells generate maximum power only when the load is optimized according insolation and module temperature. This function is performed by MPPT systems. While developing MPPT, it is useful to create a mathematical model that allows the simulation of different weather conditions affecting solar modules. Solar insolation, cloud cover imitation and solar cell models have been created in Matlab/Simulink environment. Comparing the simulation of solar insolation on a cloudy day with the measurements made using a pyrometer show that the model generates signal changes according to the laws similar to those of a real life signal. The model can generate solar insolation values in real time, which is useful for predicting the amount of electrical energy produced from solar power. The model can operate with the help of using the stored signal, thus a comparison of different MPPT algorithms can be provided. Santrauka Saulės elementai didžiausią galią sukuria tik tada, kai apkrova yra parinkta pagal elementą veikiantį saulės energijos srautą ir modulio temperatūrą. Apkrovai parinkti naudojamos didžiausios galios sekimo (DGTS) sistemos. Kintant oro sąlygoms šios sistemos nespėja prisitaikyti prie saulės elemento parametrų. Kuriant ir tiriant DGTS algoritmus tikslinga sudaryti matematinį modelį, imituojantį skirtingomis oro sąlygomis veikiančius saulės elementus. Pateikiami sudaryti saulės energijos srauto (SES), debesų dangos imitavimo ir saulės modulio matematiniai modeliai Matlab/Simulink terpėje. Lyginant modeliuoto debesuotą dieną SES kitimo dėsnius su realiais piranometru pamatuotais rezultatais nustatyta, kad modeliu imituojamas SES atitinka realųjį. Modelyje generuojamos SES vertės realiajame laike yra naudingos prognozuojant saulės jėgainės pagamintos elektros energijos kiekį. Modelyje numatyta galimybė išsaugoti SES signalą, todėl juo galima atlikti tikslų skirtingų DGTS algoritmų veikimo palyginimą. Reikšminiai žodžiai: saulės energija, saulės elementai, didžiausios galios taško sekimas.

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.

Optimal Command for Photovoltaic Systems in Real Outdoor Weather Conditions

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Hafsa Abouadane ◽  
Abderrahim Fakkar ◽  
Benyounes Oukarfi
Keyword(s):  
Maximum Power Point Tracking ◽  
Accurate Determination ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The photovoltaic panel is characterized by a unique point called the maximum power point (MPP) where the panel produces its maximum power. However, this point is highly influenced by the weather conditions and the fluctuation of load which drop the efficiency of the photovoltaic system. Therefore, the insertion of the maximum power point tracking (MPPT) is compulsory to track the maximum power of the panel. The approach adopted in this paper is based on combining the strengths of two maximum power point tracking techniques. As a result, an efficient maximum power point tracking method is obtained. It leads to an accurate determination of the MPP during different situations of climatic conditions and load. To validate the effectiveness of the proposed MPPT method, it has been simulated in matlab/simulink under different conditions.

Analysis of Surface Waste Heat Recovery in IC Engine by Using TEG

2015 ◽  
Vol 787 ◽  
pp. 782-786 ◽  
Author(s):  
R. Prakash ◽  
D. Christopher ◽  
K. Kumarrathinam
Keyword(s):  
Waste Heat ◽  
Electrical Power ◽  
Electrical Energy ◽  
Surface Heat ◽  
Heat Energy ◽  
Ic Engine ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Heat Energy Recovery

The prime objective of this paper is to present the details of a thermoelectric waste heat energy recovery system for automobiles, more specifically, the surface heat available in the silencer. The key is to directly convert the surface heat energy from automotive waste heat to electrical energy using a thermoelectric generator, which is then regulated by a DC–DC Cuk converter to charge a battery using maximum power point tracking. Hence, the electrical power stored in the battery can be maximized. Also the other face of the TEG will remain cold. Hence the skin burn out accidents can be avoided. The experimental results demonstrate that the proposed system can work well under different working conditions, and is promising for automotive industry.

scholarly journals Model Based Optimisation Algorithm for Maximum Power Point Tracking in Photovoltaic Panels

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4798
Author(s):  
Faiçal Hamidi ◽  
Severus Constantin Olteanu ◽  
Dumitru Popescu ◽  
Houssem Jerbi ◽  
Ingrid Dincă ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Real Life ◽  
Maximum Power ◽  
Mathematical Form ◽  
Step Size ◽  
Maximum Power Point ◽  
Photovoltaic Panels ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Extracting maximum energy from photovoltaic (PV) systems at varying conditions is crucial. It represents a problem that is being addressed by researchers who are using several techniques to obtain optimal outcomes in real-life scenarios. Among the many techniques, Maximum Power Point Tracking (MPPT) is one category that is not extensively researched upon. MPPT uses mathematical models to achieve gradient optimisation in the context of PV panels. This study proposes an enhanced maximisation problem based on gradient optimisation techniques to achieve better performance. In the context of MPPT in photovoltaic panels, an equality restriction applies, which is solved by employing the Dual Lagrangian expression. Considering this dual problem and its mathematical form, the Nesterov Accelerated Gradient (NAG) framework is used. Additionally, since it is challenging to ascertain the step size, its approximate value is taken using the Adadelta approach. A basic MPPT framework, along with a DC-to-DC convertor, was simulated to validate the results.

Research on Photovoltaic Industry with the MPPT Algorithm in PV System

2013 ◽  
Vol 345 ◽  
pp. 359-363
Author(s):  
Shi Die Shen ◽  
Wei Yao
Keyword(s):  
Duty Cycle ◽  
Boost Converter ◽  
Experimental Results ◽  
Pv System ◽  
Maximum Power Point ◽  
Matlab Simulink ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Variable Step ◽  
Power Point

In this paper, photovoltaic industry is introduced briefly. For the shortcomings of the fixed-step perturbation and observation (P&O) method in the maximum power point tracking (MPPT) technology, a variable-step P&O method is proposed and the algorithm is further improved. In the PV system, the MPPT is realized by changing the duty cycle of switching tube in the Boost converter. The simulations were conducted in the Matlab/Simulink platform. At last, the experimental results on the 3kw prototype showed that the new MPPT algorithm is effective.

scholarly journals Analysis Performance of Grid Tie Photovoltaic Type Polycrystalline Using Solar Irradiance Simulation

2019 ◽  
Vol 125 ◽  
pp. 14013
Author(s):  
Kurniawan Galih Putra Pratama ◽  
Hermawan Hermawan ◽  
Trias Andromeda
Keyword(s):  
Photovoltaic Performance ◽  
Electrical Energy ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Total Irradiance ◽  
Power Point ◽  
Tropical Climates

Indonesia is a country consisting of several islands some of which are still not covered by electricity. It is this source of PV that can be used to meet the needs of people who are not yet affordable with PLN electricity. Basically, PV includes the generation of new renewable energy types. This new form of energy comes from sunlight. Using semiconductor materials can convert energy from sunlight to electrical energy. Because in Indonesia this includes tropical climates located on the equator line, making Indonesia has a very high intensity of light. Several factors affect electrical energy, namely the extent of PV to be used, the total irradiance received by PV, the decrease in performance due to weather and cleanliness of the PV used such as snow and oiliness. In this study explained the Analysis of Irradian-based Grid Tie photovoltaic performance with Polycrystalline PV types. Taking irradian data using a Solar Power Meter, irradiance and temperature data at a certain time will use the Incremental Maximum Power Point Tracking (MPPT) method, DC-DC boost converter, inverter, voltage source converter (VSC) using algorithm and equipment controls connected to network. This research is simulated using Matlab with the Simulink program.

scholarly journals VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Control

2017 ◽  
Vol 7 (6) ◽  
pp. 3454 ◽  
Author(s):  
Doaa M. Atia ◽  
Hanaa T. El-madany
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Matlab Simulink ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Simulation Results ◽  
Power Point

It is important to have an efficient maximum power point tracking (MPPT) technique to increase the<em> </em>photovoltaic (PV) generation system output efficiency. This paper presents a design of MPPT techniques for<em> </em>PV module to increase its efficiency. Perturb and Observe method (P&amp;O), incremental conductance method (IC), and Fuzzy logic controller (FLC) techniques are designed to be used for MPPT. Also FLC is built using<em> </em>MATLAB/ SIMULINK and compared with the FLC toolbox existed in the MATLAB library. FLC does not<em> </em>need knowledge of the exact model of the system so it is easy to implement. A comparison between different<em> </em>techniques shows the effectiveness of the fuzzy logic controller techniques.  Finally, the proposed FLC is<em> </em>built in very high speed integrated circuit description language (VHDL). The simulation results obtained with<em> </em>ISE Design Suite 14.6 software show a satisfactory performance with a good agreement compared to obtained values from MATLAB/SIMULINK. The good tracking efficiency and rapid response to environmental parameters changes are adopted by the simulation results.

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