Abstract
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%.
Highlights
Abstrak— Kebutuhan energi listrik terus meningkat setiap waktu
In this paper proposed P & O-Fuzzy algorithm is a modification of conventional P & O to improve the efficiency of solar panels
Maximum Power Point Tracking using Fuzzy Logic Control Scheme, [14] F
Summary
Kemajuan yang signifikan telah dibuat selama beberapa tahun terakhir berkaitan dengan penelitian dan pengembangan sistem energi terbarukan [1]. Algoritma ini merupakan modifikasi dari algoritma P&O konvensional dengan logika fuzzy yang didesain untuk memperbaiki osilasi steady states dan kesalahan penelusuran MPP pada perubahan iradiasi yang cepat. Fuzzy Logic Control ditambahkan pada algoritma ini untuk menentukan besar dan arah perturbation size dengan mempertimbangkan besar nilai error. Sistem fuzzy yang dibangun terdiri dari dua variabel input yaitu error (e) dan deltaerror (de) serta menghasilkan satu keluaran nilai crips yang mengatur increment duty cycle (I) sinyal PWM yang dibangkitkan mikrokontroler. Desain sistem logika fuzzy yang digunakan ditunjukkan pada Gambar 4. Desain Logika Fuzzy pada MPPT (PMI), dan Positive Big Increment (PBI) dengan fungsi keanggotaan berbentuk kurva segitiga. Berdasarkan proses rule base yang telah dilakukan didapatkan rule viewer sistem fuzzy seperti ditunjukkan pada Gambar 9.
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