EFFICIENT MAXIMUM POWER POINT ESTIMATION MONITORING OF PHOTOVOLTAIC USING FEED FORWARD NEURAL NETWORK

Hasnira Hasnira; Novie Ayub Windarko; Anang Tjahjono; Mochammad Ari Bagus Nugroho; Mentari Putri Jati

doi:10.30871/ji.v12i2.2161

Penulis

Hasnira Hasnira Politeknik Negeri Batam
Novie Ayub Windarko Politeknik Elektronika Negeri Surabaya
Anang Tjahjono Politeknik Elektronika Negeri Surabaya
Mochammad Ari Bagus Nugroho Politeknik Elektronika Negeri Surabaya
Mentari Putri Jati Politeknik Elektronika Negeri Surabaya

DOI:

https://doi.org/10.30871/ji.v12i2.2161

Kata Kunci:

Solar panel, Maximum Power Point, Artificial Neural Network

Abstrak

Perkembangan pemanfaatan panel surya di masa depan akan terus meningkat. Salah satu bentuk karakteristik panel surya merupakan kurva I-V yang mana dengan kurva tersebut dapat digunakan untuk menganalisa besaran daya keluaran panel surya. Dengan mengetahui kurva I-V tersebut dapat dilakukan Maximum Power Point Estimation (MPPE) yang dapat diampu oleh panel surya. Informasi mengenai nilai estimasi daya maksimum panel surya merupakan bagian penting untuk menentukan kapasitas pembebanan, selain itu juga untuk menjaga umur peralatan yang digunakan. Feed Forward Neural Network dengan Algoritma Back Propagation (FFBP) terbukti dapat memberikan informasi nilai MPPE pada keluaran panel surya. Nilai masukan pada ANN berupa tegangan dan arus dari panel surya, sedangkan keluaran dari ANN tersebut berupa nilai estimasi daya. Hasil dari simulasi MPPE didapatkan galat rata rata sebesar 0.04 poin antara daya aktual (MPP) dan daya estimasi (MPPE).

Unduhan

Data unduhan belum tersedia.

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