Maximum Power Point Tracking (MPPT) Berbasis Algoritma Human Psychology Optimization (HPO) Untuk Optimalisasi Daya Output Panel Surya Pada Kondisi Partial Shading

Fajar Maulana (Politeknik Negeri Jakarta)
Isdawimah Isdawimah (Politeknik Negeri Jakarta)
Kusnadi Kusnadi (Politeknik Negeri Jakarta)

Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
2023: SNESTIK III

A maximum power point tracking technique (MPPT) based on a metaheuristic algorithm for solar panel systems is proposed, namely MPPT based on the human psychology optimization algorithm (MPPT-HPO). The HPO algorithm has a simple mathematical model that makes it easy to implement in MPPT systems. The proposed MPPT-HPO algorithm is implemented in a solar panel system consisting of 2 solar panels arranged in series and integrated with a DC-DC Boost Converter. The solar panel system was developed by simulation using PSIM software and validated by hardware testing. Solar panel systems equipped with MPPT-HPO were tested under various irradiation conditions, both in non-shading conditions with uniform irradiation and partial shading conditions with non-uniform irradiation. Furthermore, to evaluate its performance, MPPT-HPO is compared with MPPT-PO. The accuracy obtained in testing the MPPT-HPO algorithm is quite good, namely 99% and MPPT-HPO has a stable ability after reaching global maximum power point (GMPP) conditions when compared to the existing MPPT-PO technique