Implementation of IncCond Algorithm to Optimize PI Boost Converter for Maximum Power Point Tracking in Photovoltaic Arrays

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Slamet Slamet ◽  
Rasli Abd Ghani ◽  
Fuminori Kobayashi

This paper presents an incremental conductance (IncCond) algorithm optimized Proportional Integral (PI) controller for maximum power point tracking (MPPT) in photovoltaic (PV) arrays. In the proposed method, Modified IncCond algorithm is used for optimizing the maximum available power in uncertainty occurs of the temperature and solar radiation. Furthermore, PI in boost converter is used to ensure the steady state conditions more quickly and eliminate the power losses in switching. Tuning method is applied for determining control parameters by using zigler-nichols and trial – error procedures. The simulation results demonstrate the excellent performance which can effectively improve in tracking speed and accuracy of maximum power. The controller response is able to achieve stable conditions around 0.01 seconds, which is three times faster to equal with the input voltage. Simulation results showed that the PV system becomes more efficient as proven by the changes in irradiance conditions by having average power efficiency is 99.35%, error is 0.65%, which is half the existing one.

JURNAL ELTEK ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 1
Author(s):  
Oktriza Melfazen ◽  
M. Taqijuddin Alawiy ◽  
Denda Dewatama

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.


2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Ahmad Shaharuddin Mat Su, ◽  
Rasli Abd Ghani ◽  
Slamet Slamet

This paper presents the proposed model and simulation of a DC to DC converter with maximum power point tracking (MPPT) using fuzzy logic controller (FLC) for a standalone Photovoltaic (PV) System. This research will focus on the developing high performance DC to DC converter with fuzzy logic controller based to extract the maximum power that generated by the PV panel. The system composed of the PV array and DC-DC boost converter with MPPT system. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of IGBT switch of DC-DC boost converter. The proposed DC to DC converter is designed by using the Multisim software while the controller programme will be carried out by using the Matlab Simulink software. Pulse width modulation will be generated by the controller to trigger the IGBT gate. The performance of the proposed model is evaluated by the simulation and the result show that our proposed converter can convert more power from generated voltage. By using the fuzzy logic method to track the maximum power of the PV array, it is faster and the voltage is stable.


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6722
Author(s):  
Mehmet Ali Yildirim ◽  
Marzena Nowak-Ocłoń

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.


TRANSIENT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 918
Author(s):  
Akhmad Fauzi ◽  
Mochammad Facta ◽  
Sudjadi Sudjadi

Potensi energi matahari di Indonesia sangat melimpah, hal ini menguntungkan dalam pembangkitan energi listrik dengan panel surya. Energi matahari yang tidak tetap membuat efektitifitas panel surya berkurang.  Terdapat dua metode dalam memaksimalkan keluaran panel surya yaitu, metode dinamis dengan menggunakan motor listrik untuk mengarahkan panel surya ke matahari dan metode statis  atau Maximum Power Point Tracking (MPPT) menggunakan konverter daya. MPPT digunakan untuk mencari titik daya maksimum dari kurva karakteristik P-V pada panel surya. Pengaruh perubahan irradiasi dan suhu sehingga titik daya maksimum panel surya berubah-ubah. Pada penelitian ini dilakukan perancangan MPPT dengan metode Perturb and Observe (P&O) dengan Buck Boost Converter untuk mencari titik daya maksimum panel surya. Pada pengujian sistem didapatkan hasil sistem MPPT mampu mencari titik daya maksimum surya sebesar 5.71 watt pada irradiasi 1000 watt/m2 temperatur 29oC, sedangkan tanpa MMPT rata-rata daya maksimum pada beban 50Ω sebesar 5,22 watt, 39Ω sebesar 4,99 watt. Irradiasi 750 watt/m2 temperatur 29oC dengan MPPT mampu mencari titik daya maksimum surya sebesar 3.92 watt,sedangkan tanpa MPPT rata-rata daya maksimum pada beban 50Ω sebesar 3.56 watt, 39Ω sebesar 3.38 watt.


Author(s):  
Doaa M. Atia ◽  
Hanaa T. El-madany

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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