scholarly journals Optimization of Maximum Power Point Tracking (MPPT) Using P&O-Fuzzy and IC-Fuzzy Algorithms on Photovoltaic

2018 ◽  
pp. 119-134 ◽  
Author(s):  
Rido Octa Pratama ◽  
Machmud Effendy ◽  
Zulfatman Zulfatman
Keyword(s):  
Power Plant ◽  
Solar Energy ◽  
Solar Power ◽  
Maximum Power ◽  
Solar Power Plant ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Combined Algorithm

Solar energy is energy which can be harnessed conveniently and free. However, its conversion result may not be easily obtained. Based on the previous research, solar power plant is a source of renewable energy, utilizing solar energy. Solar power plant converts solar energy into electricity using Photovoltaic (PV) or solar cells. Even though solar power plant is considered as better energy alternative, it presents problems and weaknesses. In this case, the problems are related to insufficient power generation with low power efficiency, high oscillation and very slow power tracking. Hence, in order to solve these problems, Maximum Power Point Tracking (MPPT) has been utilized. Combination method of P&O-fuzzy and IC-fuzzy is employed to its design. Moreover, combined algorithm may result better power from conventional algorithm due to appropriate performance of duty cycle according to system design, with efficiency result of 79%-85.6%, tracking in searching output power of 0,0055s - 0,008s, low oscillation and maximum power generated by combined algorithm of 1028 watt.

scholarly journals ARTIFICIAL NEURAL NETWORK IN MAXIMUM POWER POINT TRACKING ALGORITHM OF PHOTOVOLTAIC SYSTEMS / DIRBTINIŲ NEURONŲ TINKLO TAIKYMAS DIDŽIAUSIOS GALIOS TAŠKO SAULĖS ELEMENTUOSE SEKIMO ALGORITME

2014 ◽  
Vol 6 (2) ◽  
pp. 182-187
Author(s):  
Modestas Pikutis
Keyword(s):  
Power Plant ◽  
Solar Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Power Plant ◽  
Maximum Power Point ◽  
Plant Model ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Scientists are looking for ways to improve the efficiency of solar cells all the time. The efficiency of solar cells which are available to the general public is up to 20%. Part of the solar energy is unused and a capacity of solar power plant is significantly reduced – if slow controller or controller which cannot stay at maximum power point of solar modules is used. Various algorithms of maximum power point tracking were created, but mostly algorithms are slow or make mistakes. In the literature more and more oftenartificial neural networks (ANN) in maximum power point tracking process are mentioned, in order to improve performance of the controller. Self-learner artificial neural network and IncCond algorithm were used for maximum power point tracking in created solar power plant model. The algorithm for control was created. Solar power plant model is implemented in Matlab/Simulink environment. Mokslininkai intensyviai ieško būdų, kaip pagerinti saulės elementų naudingumo koeficientą, kuris rinkoje papli­tusiuose elementuose siekia 20 %. Kai didžiausios galios taškui (DGT) sekti naudojamas lėtas valdiklis arba valdiklis, nesugebantis palaikyti saulės elemento režimo didžiausios galios taške – saulės jėgainės našumas labai sumažėja ir dalis saulės energijos, krentančios į saulės modulį, lieka nepanaudota. Nuolat kuriami įvairūs didžiausios galios taško sekimo algoritmai, tačiau dauguma jų dirba lėtai arba daro klaidas. Siekiant padidinti valdiklio efektyvumą, literatūroje vis dažniau minimas dirbtinių neuronų tinklų (DNT) taikymas DGT sekimo procese. Darbe sukurtas saulės jėgainės modelis, kuriame panaudotas didžiausios galios taškui sekti savaime besimokantis dirbtinių neuronų tinklas, veikiantis kartu su IncCond algoritmu, ir sudarytas valdymo algoritmas. Saulės jėgainės modelis įgyvendintas Matlab/Simulink terpėje.

scholarly journals Design and Performance Analysis of 600 W On-Grid Solar Power Plant System based on Maximum Power Point Tracking (MPPT)

2021 ◽  
Vol 2111 (1) ◽  
pp. 012009
Author(s):  
Nurhening Yuniarti ◽  
Alex Sandria Jaya Wardhana ◽  
Bagas Woro Saputra
Keyword(s):  
Power Plant ◽  
Solar Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Power Plant ◽  
Maximum Power Point ◽  
Plant System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Abstract This research aimed to make, test, and analyse the performance of 600 W on-grid solar power plant system based on maximum power point tracking (MPPT). This research used a developmental research method with the ADDIE model that was developed by Robert Maribe Branch. The results obtained data that the average power that was produced and distributed to the PLN grid reached 22.5 W with 95.67% efficiency from the grid-tie inverter usage.

scholarly journals TEMPERATURE EFFECT TO SOLAR POWER PLANT / TEMPERATŪROS ĮTAKA FOTOVOLTINEI JĖGAINEI

2015 ◽  
Vol 7 (3) ◽  
pp. 335-339
Author(s):  
Modestas Pikutis
Keyword(s):  
Power Plant ◽  
Solar Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic Module ◽  
Solar Power Plant ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

There are a lot of different efficiency photovoltaic cells, which are used in solar power plants. All of these different photovoltaic cells are affected by different environment conditions. Maximum power point tracking is the main way to increase solar power plant efficiency. Mostly systems of maximum power point tracking are slow or inaccurate, that means the system cannot stay in maximum power point in solar power plant. This is the main reason why mostly of solar power plants are working not efficiently. The use of real working solar power plant with aim to find more efficient control algorithms is very expensive and requires long development period. Mathematical modeling makes research and investigation faster. In this article a temperature changing block of photovoltaic module that can simulate temperature changing process for month or even a few years was proposed. This temperature block was used in a solar power plant model which was created in previous investigations. Now, solar power plant model has four structural blocks: solar irradiance block, temperature of photovoltaic module block, photovoltaic module block and controller block. IncCond algorithm is used for maximum power point tracking. Solar power plant model is implemented in Matlab/Simulink environment. This model enables to analyze solar power plant working efficiency, when there are no clouds and the temperature is changing or stays constant. Fotovoltinėse jėgainėse naudojami įvairaus tipo skirtingo veikimo efektyvumo saulės elementai. Nors šie elementai pagal tipą ir efektyvumą skirtingi, tačiau visiems jiems didelę įtaką daro aplinkos sąlygos. Pagrindinė priemonė fotovoltinės jėgainės (FJ) efektyvumui didinti yra didžiausios galios taško sekimas (DGT). Dauguma valdiklių, skirtų didžiausios galios taškui sekti fotovoltinėje jėgainėje, yra lėti arba netikslūs – negali palaikyti fotovoltinės jėgainės didžiausios galios režimo. Tai pagrindinė fotovoltinės jėgainės neefektyvaus veikimo priežastis. Fotovoltinių jėgainių tyrimams realiomis eksploatavimo sąlygomis ieškant efektyvesnių valdymo algoritmų būtinos didelės investicijos į įrangą, ir tai ilgai trunka. Tyrimams paspartinti kuriami imitaciniai modeliai. Šiame darbe aprašomas sukurtas temperatūros poveikiui tirti skirtas saulės modulio temperatūros kitimo blokas. Tai galimybė imituoti procesus, trunkančius mėnesį ar net kelerius metus. Darbe analizuojamą FJ modelį sudaro keturi struktūriniai blokai: saulės galios srautą imituojantis blokas, temperatūros kitimą imituojantis blokas, saulės modulių imitatorius ir valdymo algoritmas, kuriame didžiausios galios taškas nustatomas pagal IncCond algoritmą. Visas fotovoltinės jėgainės modelis, įgyvendintas Matlab/Simulink terpėje, leido analizuoti fotovoltinės jėgainės veikimo efektyvumą giedrą dieną, kai modulių temperatūra buvo pastovi arba kito.

Maximum Power Point Tracking (MPPT) for a Solar Photovoltaic System: A Review

2015 ◽  
Vol 787 ◽  
pp. 227-232 ◽  
Author(s):  
L.A. Arun Shravan ◽  
D. Ebenezer
Keyword(s):  
Solar Energy ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Nonlinear Behaviour ◽  
Pv System ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In recent years there has been a growing attention towards use of solar energy. Advantages of photovoltaic (PV) systems employed for harnessing solar energy are reduction of greenhouse gas emission, low maintenance costs, fewer limitations with regard to site of installation and absence of mechanical noise arising from moving parts. However, PV systems suffer from relatively low conversion efficiency. Therefore, maximum power point tracking (MPPT) for the solar array is essential in a PV system. The nonlinear behaviour of PV systems as well as variations of the maximum power point with solar irradiance level and temperature complicates the tracking of the maximum power point. This paper reviews various MPPT methods based on three categories: offline, online and hybrid methods. Design of a PV system in a encoding environment has also been reviewed here. Furthermore, different MPPT methods are discussed in terms of the dynamic response of the PV system to variations in temperature and irradiance, attainable efficiency, and implementation considerations.

Implementaasi Maximum Power Point Tracker (MPPT) dengan topologi sepic pada pembangkit listrik tenaga surya

JURNAL ELTEK ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 1
Author(s):  
Oktriza Melfazen ◽  
M. Taqijuddin Alawiy ◽  
Denda Dewatama
Keyword(s):  
Power Plants ◽  
Solar Power ◽  
Maximum Power Point Tracking ◽  
Average Power ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Arduino Uno ◽  
Power Point

Terdapat rugi-rugi daya dalam proses menghasilkan daya pada Pembangkit Listrik Tenaga Surya (PLTS) konvensional. Sehingga energi yang dihasilkan tidak terserap secara maksimal. Sistem Pembangkit Listrik Tenaga Surya yang didesain dalam penelitian ini diharapkan dapat menghasilkan energi optimal dengan memanfaatkan kemampuan algoritma Maximum Power Point Tracking (MPPT) dengan metode Perturb and Obserb yang diaplikasikan pada topologi SEPIC. Pada penelitian ini, sistem  menggunakan panel surya berjenis amorphous 60W, sensor arus ACS712, sensor tegangan berupa pembagi tegangan dan rangkaian converter dengan topologi SEPIC yang dikontrol mikrokontroler Arduino UNO dengan sistem MPPT. Hasil penelitian yang didapat sebagai berikut: penempatan panel surya yang baik adalah menghadap atas (tegak lurus dengan permukaan bumi, sensor arus bekerja dengan eror rata-rata 1,92%, sensor tegangan mempunyai eror rata-rata 2,76%, dan topologi SEPIC dengan MPPT mempunyai hasil daya rata-rata 26,13 W.   There are power losses in the process of generating power in conventional Solar Power Plants (PLTS). So that the energy produced is not absorbed to the fullest. The Solar Power Sistem designed in this study is expected to produce optimal energy by utilizing the ability of the Maximum Power Point Tracking (MPPT) algorithm with the Perturb and Obserb method applied to the SEPIC topology. The sistem built in this study uses a 60W amorphous type solar panel, ACS712 current sensor, a voltage sensor in the form of a voltage divider and a converter circuit with a SEPIC topology controlled by an Arduino UNO microcontroller with an MPPT sistem.The results obtained as follows: a good placement of solar panels is facing upward (perpendicular to the surface of the earth, current sensors work with an average eror of 1.92%, voltage sensors have an average eror of 2.76%, and SEPIC topology with MPPT has an average power yield of 26.13 W.

scholarly journals Maximum power point tracking of a solar PV array using single stage three phase inverter

2018 ◽  
Vol 7 (2.31) ◽  
pp. 97 ◽  
Author(s):  
M Jayakumar ◽  
V Vanitha ◽  
V Jaisuriya ◽  
M Karthikeyan ◽  
George Daniel ◽  
...  
Keyword(s):  
Solar Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Three Phase ◽  
Power Point

Solar power is widely available around the globe but efficient transfer of solar power to the load becomes a challenging task. There are various methods in which the power transfer can be done, the following work proposes a method for efficient tracking of solar power.  MPPT [ maximum power point tracking] algorithm applied on three phase voltage source inverter connected to solar PV array with a three phase load. MPPT is applied on inverter rather than conventionally applying MPPT on DC-DC converter. Perturb and Observe method is applied in the MPPT algorithm to find the optimal modulation index for the inverter to transfer maximum power from the panel. Sine pulse width modulation technique is employed for controlling the switching pattern of the inverter. The algorithm is programmed for changing irradiation and temperature condition. The system does not oscillate about the MPP point as the algorithm set the system at MPP and does not vary till a variation in irradiation is sensed.  The proposed system can be installed at all places and will reduce the cost, size and losses compared to conventional system. 

A Highly Efficient and Adaptable Solar-Energy Harvesting Circuit for Batteryless IoT Devices

2018 ◽  
Author(s):  
Ching-Cheng Yang ◽  
Paul C.-P. Chao ◽  
Rajeev Kumar Pandey
Keyword(s):  
Energy Harvesting ◽  
Solar Energy ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Transfer Efficiency ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Energy Harvesting ◽  
Power Point

In this paper a new on-chip 2nd generation solar energy harvesting DC-DC converter has been proposed for a battery-less Internet of Things (IoTs) Devices. The propose circuit is design to maximize the transfer efficiency and stability as well as enough high power supply to the back-end loads. Altogether the proposed circuit consists of a cross-coupled charge pump, a maximum power point tracking (MPPT) circuit, a timing control circuit and regulator. The range of input voltage is from 0.5V to 3V. Required boosted output voltage is in the range of 1V to 3.3V. The maximum transfer efficiency is more than 60% and the maximum throughout power is 200μW. A gated clock frequency modulation circuit has been designed and employed in the maximum power point tracking (MPPT) unit to lock the input resistance of the charge pump. In addition, to provide a stable voltage to the load a low dropout (LDO) regulator circuit is used. The experimental results show that the maximum power conversion efficiency (PCE) is 78% at 52μW input power condition.

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