Dhani Nur Indra Syamputra 

Department of Physics, Universitas Diponegoro, Semarang, Indonesia

Ahmad Ridlo Hanifudin Tahier

Department of Industrial Technology, Universitas Diponegoro, Semarang, Indonesia

Oki Ade Putra

Department of Physics, Universitas Diponegoro, Semarang, Indonesia

Muhammad Fahmi

Department of Physics, Universitas Diponegoro, Semarang, Indonesia

DOI: https://doi.org/10.19184/cerimre.v8i2.53698

ABSTRACT 

Photovoltaic application as a renewable energy source demands stable and efficient power conversion techniques, especially under fluctuating input conditions due to solar power generation. Positive Output Superlift Luo Converter has a high voltage gain but has a nonlinear characteristic from its parasitic components. Nevertheless, common control method is not effective to overcome the nonideality of the converter. In this study, we propose a Model Predictive Control (MPC) strategy for a nonideal POSLLC, with a model derived from a discrete-time state-space model using the state-space averaging method. Simulation results showed that the MPC strategy improves the performance of the nonideal converter compared to an open-loop operation. The output voltage overshoot was reduced from 8.03% to 4.55%, and the settling time was shortened from 7.55 to 6.9 ms. As a result, the MPC strategy provides better damping and faster response to abrupt change in input voltage. The results demonstrate that MPC provides precise voltage regulation and adaptability for nonideal high-gain converters in PV-based power systems.

Keywords: Model Predictive Control (MPC), Nonideal Superlift Luo Converter, DC-DC Converter, Photovoltaic.