scholarly journals A Flower Pollination Method Based Global Maximum Power Point Tracking Strategy for Point-Absorbing Type Wave Energy Converters

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1343 ◽  
Author(s):  
Aqiang Zhao ◽  
Weimin Wu ◽  
Zuoyao Sun ◽  
Lixun Zhu ◽  
Kaiyuan Lu ◽  
...  
Keyword(s):  
Wave Energy ◽  
Maximum Power Point Tracking ◽  
Average Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Flower Pollination ◽  
Type Wave ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

To maximize the generated output power under random waves, the control strategy of maximum power point tracking (MPPT) is incorporated in point-absorbing type wave energy converter (WEC) system. However, due to the influence of mutative wave conditions, the curve of the maximum average power appears in multiple peaks, adding complexity to the tracking process. This paper proposes a new MPPT control technique for a wave power generation system, by using the flower pollination algorithm (FPA) instead of the conventional hill-climbing method. Compared with the hill-climbing method, this method has advantages of achieving a smaller peak-to-average ratio and capturing the more average power under the same sea state. The verification has been carried out through the simulations and the experimental results on a lab test bench.

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 Análise Comparativa das Técnicas Clássicas de MPPT

2021 ◽  
Author(s):  
MIRéLI BINDER VENDRUSCOLO ◽  
ANTóNIO MANUEL SANTOS SPENCER ANDRADE
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

As características elétricas de rendimento e potência de um painel fotovoltaico (PV) são influenciadas por dois fatores climáticos, que são: irradiância solar e temperatura. Por essa razão, os algoritmos de MPPT (Maximum Power Point Tracking) são essenciais para se obter a máxima potência produzida. Portanto, este trabalho apresenta uma avaliação comparativa das principais técnicas clássicas de MPPT, sendo elas: Perturba e Observa (P&O), Hill Climbing (HC) e Condutância Incremental (InC). Para fazer essas avaliações de MPPT foram utilizados conversores estáticos CC-CC, tais como: Boost, Buck e Buck-Boost. No entanto, o MPPT é aplicado na entrada e saída dos conversores, a fim de observar o melhor desempenho. Os resultados de simulação são avaliados utilizado o software PSIM.

scholarly journals Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

2021 ◽  
Vol 03 (01) ◽  
pp. 53-62
Author(s):  
Mohammed Salah Bouakkaz ◽  
◽  
Ahcene Boukadoum ◽  
Omar Boudebbouz ◽  
Issam Attoui ◽  
...  
Keyword(s):  
Short Circuit ◽  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm

scholarly journals Modified Maximum Power Point Tracking Algorithm under Time-Varying Solar Irradiation

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6722
Author(s):  
Mehmet Ali Yildirim ◽  
Marzena Nowak-Ocłoń
Keyword(s):  
Renewable Energy Sources ◽  
Maximum Power Point Tracking ◽  
Average Power ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Time Varying ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Solar photovoltaic (PV) energy is one of the most viable renewable energy sources, considered less polluting than fossil energy. However, the average power conversion efficiency of PV systems is between 15% and 20%, and they must operate with high efficiency. Photovoltaic cells have non-linear voltage–current characteristics that are dependent on environmental factors such as solar irradiation and temperature, and have low efficiency. Therefore, it becomes crucial to harvest the maximum power from PV panels. This paper aims to study and analyze the most common and well-known maximum power point tracking (MPPT) algorithms, perturb and observe (P&O) and incremental conductance (IncCond). These algorithms were found to be easy to implement, low-cost techniques suitable for large- and medium-sized photovoltaic applications. The algorithms were tested and compared dynamically using MATLAB/Simulink software. In order to overcome the low performance of the P&O and IncCond methods under time-varying and fast-changing solar irradiation, several modifications are proposed. Results show an improvement in the tracking and overall system efficiencies and a shortened response time compared with original techniques. In addition, the proposed algorithms minimize the oscillations around the maximum power point (MPP), and the power converges faster.

scholarly journals A maximum power point tracking technique using modified hill climbing (MHC) method in DC microgrid application

2020 ◽  
Author(s):  
Zaenal Efendi ◽  
Epyk Sunarno ◽  
Farid Dwi Murdianto ◽  
Rachma Prilian Eviningsih ◽  
Lucky Pradigta Setiya Raharja ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Dc Microgrid ◽  
Tracking Technique ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point
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