2022 TA PP GHANY ANUGRAH MUHAMMAD ANAIS 1 - LAMPIRAN.pdf
PUBLIC Open In Flip Book Alice Diniarti
Concern for the climate change demands for a faster adoption of Variable
Renewable Energy Sources (VRES). VRES (solar and wind energy) are targeted to supply
53% of the Indonesia’s 2060 total power demand, three times of that of 2020. But
deploying VRES brings about reliability issue due to its intermittency, which consequently
requires additional costs for the deployment of Energy Storage Systems (ESS). Since a
fully reliable VRES project is expensive, it is attractive to consider decreasing portion of
reliability to reduce costs for the project to be economically viable.
This study investigates the deployment of multiple combinations of solar PV
ground, solar PV rooftop, wind turbine, Battery ESS, Pumped Hydro ESS, Hydrogen ESS,
and Ammonia ESS in 16 Virtual Power Plants (VPPs) to meet Sukabumi Municipality
demand, under three scenarios: full demand (33 MW), peak demand (4 MW), and baseload
demand (29 MW). Multi-objective optimization based on Strength Pareto Evolutionary
Algorithm 2 (SPEA2) is conducted with objectives of minimizing both Levelized Cost of
Energy (LCOE) for costs and Loss of Power Supply Probability (LPSP) for reliability.
The optimization program based on SPEA2 has successfully generate Pareto Front
results for 16 VPPs and three case studies, along with a support program. It has been found
that every VPP with Pumped Hydro ESS in single, double, triple and quadruple ESS, ranks
co-first as the best VPP. Finally, four major factors which affect techno-economic
performance of VPPs have been identified: LCOEgen of VRES, VRES maximum capacity
due to location specificity, matching of VRES generation profile and demand profile, and
roundtrip efficiency of ESS