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
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 pot...
Saved in:
| Main Author: | |
|---|---|
| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/86829 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | 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. |
|---|