<![CDATA[The hybrid Solar Photovoltaic (PV) Power Generation System combined with a Diesel Power Plant (PLTD) represents a strategic solution to enhance the reliability and efficiency of electricity supply in remote island power networks. However, the main operational challenge lies in determining an optimal dispatch strategy that minimizes fossil fuel consumption and operating costs without compromising system reliability. This study aims to optimize the operation of a 300 kWp hybrid PV system on Maratua Island using a simulation-based optimization approach and parametric sensitivity analysis. The simulation models the existing system configuration—which comprises the PV plant, diesel generators, and a battery energy storage system—while incorporating time-series load data and renewable resource inputs. The optimization results indicate that implementing an appropriate operational strategy can significantly reduce diesel fuel consumption and energy costs compared to the baseline operating condition. The parametric sensitivity analysis shows that variations in key parameters, such as battery capacity and dispatch strategy, have a dominant influence on the net present cost and the levelized cost of energy. These findings provide practical technical recommendations for managing hybrid PV systems in island regions, particularly in support of energy transition initiatives and diesel generator phase-out programs in Indonesia. The novelty of this research lies in the application of a simulation-based optimization approach combined with parametric sensitivity analysis to evaluate and optimize the operational strategy of hybrid PV systems in remote island electrical networks using real operational data. Unlike previous studies that typically focus on capacity design or static techno-economic assessments, this study emphasizes the optimization of operational dispatch strategies as a primary decision variable. Furthermore, it specifically examines the sensitivity of technical and operational parameters to the system’s economic performance, resulting in more adaptive and implementable recommendations for hybrid power plant management in isolated systems. Keywords: Hybrid PV system; operational optimization; simulation‑based optimization; sensitivity analysis; islanded power system]]>
