Implementation of moving average based power management for smoothing hybrid solar PV-battery systems in Tambora Grid System, Sumbawa, Indonesia

Integrating solar photovoltaic (PV) systems with battery energy storage systems (BESS) is crucial for enhancing grid stability, especially in regions with significant solar potential like Sumbawa, Indonesia. This paper investigates the application of Simple Moving Average (SMA) and Exponential Moving Average (EMA) methods for smoothing the output power of a solar PV system integrated with BESS in the Tambora Grid System. The study utilizes a modified MATLAB Simulink model based on the "Renewable Energy Integration Design with Simscape" example. The model simulates various scenarios to assess the effectiveness of SMA and EMA in mitigating the intermittency of solar PV output, thereby ensuring grid stability and reliability. Results indicate that both smoothing methods significantly reduce the ramp rate (RR) of PV power output, with EMA achieving slightly better performance than SMA. These findings highlight the potential of advanced smoothing techniques in enhancing the integration of solar PV systems with BESS in power grids.