OPTIMIZATION OF ECONOMIC DISPATCH FOR HYBRID DIESEL AND SOLAR POWER GENERATION BASED ON WIND ENERGY PREDICTION ON DERAWAN ISLAND : A CASE STUDY USING METEOBLUE WEATHER DATA

• Main Author: Fabian Fadel, Tyo
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/86829
• Institution: Institut Teknologi Bandung

This research aims to optimize the hybrid power generation system in Derawan Island, consisting of Solar Power Plants (PLTS) and Diesel Power Plants (PLTD), by utilizing wind energy from Wind Power Plants (PLTB) to reduce dependency on Diesel Power Plants (PLTD). Simulation of the PLTB energy potential prediction using Meteoblue weather data provides more accurate estimates with the Artificial Neural Network (ANN) model, showing RMSE training of 0.3585, RMSE testing of 0.3603, and R² of 0.9969. Economic Dispatch optimization of the hybrid system with PLTD, PLTS, and PLTB shows a reduction in operational costs from IDR 9,922,710.91 per day to IDR 8,211,133.05 per day with PLTB operating at maximum capacity. Additionally, integrating PLTB reduces the Cost of Supply (BPP) from IDR 6,190.92 to IDR 1,722.35 per kWh, decreases dependence on fossil fuels, and supports carbon emission reduction. This study demonstrates that integrating PLTB can improve cost efficiency and the sustainability of the hybrid power generation system in Derawan Island.