Asnil Asnil, Refdinal Nazir, Krismadinata Krismadinata, Muhammad Nasir Sonni
This article presents an enhanced Incremental Conductance (InC) Maximum Power Point Tracking (MPPT) strategy for photovoltaic (PV) systems. While conventional InC is effective, it exhibits significant power oscillations around the maximum power point (MPP) and slow tracking speed. To overcome these critical limitations, the proposed InC approach integrates an adaptive step size and holding strategy. The adaptive step size dynamically adjusts the perturbation magnitude, leading to significantly faster tracking speed under varying irradiance, concurrently achieving a drastic reduction in steady-state oscillations. Furthermore, the holding strategy effectively suppress residual oscillations by maintaining the optimal operating point during stable environmental conditions, thereby minimizing energy losses. Extensive simulations conducted under dynamic environmental conditions (varying irradiance and temperature) demonstrate the substantial performance improvement of the proposed algorithm. The comparison includes not only conventional InC but also existing modified InC algorithms from previous research. Result confirm that the proposed strategy achieves superior performance compared to both conventional and other modified InC approaches. It offers faster response, markedly reduced oscillation around the MPP, and ultimately significantly higher solar energy extraction efficiency, even amidst rapid weather fluctuation. This advancement in renewable energy technology directly supports global efforts towards sustainable development goals by promoting clean and efficient energy utilization © Published under licence by IOP Publishing Ltd.
Department of electrical engineering, Universitas Andalas, Padang, Indonesia; Department of electrical engineering, Universitas Negeri Padang, Padang, Indonesia
