Indonesia Conference Directory

The development of DC microgrid is increasingly being carried out recently aimed to reduce or even replace energy produced from fossil energy. Many kind of energy sources are used in microgrid systems, but the most commonly used is photovoltaic (PV) to convert sunlight into electricity. PV systems have limitations in their usage time, besides that PV systems also utilize the maximum power point tracking (MPPT) algorithm to maximize power from PV. The use of MPPT in PV systems has a positive impact that can improve power efficiency in partially shaded conditions. MPPT are able to cause unstable voltage problems and exceed the input voltage of the system. In this paper, the performance of adaptive control will be explained using a model reference adaptive controller (MRAC) approach, the control mechanism where the system parameters change dynamically. The reference model is obtained from optimization using MIT rules. Adaptive control will be applied to the buck converter and MPPT controls using the firefly algorithm to be applied to the SEPIC converter. In this study the simulation was carried out and showed Integral of the absolute value of the error (IAE) and integral of the square value of the error (ISE) of the proposed method was smaller than the PID controller. Therefore, the proposed method is able to track the reference voltage smoothly, and have robustness to variations in the parameter interference.