Design and Simulation of a Hybrid Solar and Wind Power Plant System in South Garut Using HOMER Software

Abstract

The increasing demand for sustainable energy highlights the urgency of integrating renewable energy sources into power generation systems. South Garut, Indonesia, offers significant potential for solar and wind energy, particularly in the coastal area of Cibalong District. This study aims to design and simulate a hybrid solar and wind power plant system optimized using the HOMER software. Field observations, energy consumption data collection, and analysis of local renewable energy resources were conducted to establish the system parameters. The HOMER software was utilized to perform simulation, optimization, and sensitivity analysis, considering factors such as Net Present Cost (NPC), Cost of Energy (COE), Return on Investment (ROI), and Internal Rate of Return (IRR). The simulation results indicate that integrating photovoltaic panels and wind turbines within an on-grid hybrid configuration significantly enhances system reliability and cost-efficiency. The optimal system configuration achieves a competitive COE while ensuring long-term energy sustainability. This research provides a reference model for the development of renewable energy-based power systems in remote coastal areas, supporting national initiatives to increase the share of renewable energy in Indonesia’s energy mix.