@thesis{thesis,
		author={Arifin  Zainal and Fitri  Linda},
		title ={Pemanfaatan Battery Energy Storage System Di PLTS Floating Cirata 145 MW Untuk Menurunkan Biaya Produksi Sistem Jamali},
		year={2021},
		url={http://156.67.221.169/5474/},
		abstract={Along with the exponential growth of renewable energy penetration to the grid, the role of battery energy storage to create gird more flexible has been significantly increasing. There are two main functions of battery storage on grid; load shifting and load smoothing. The utilization of battery storage does not only create some technical beneficial such as reliability and flexibility but also a financial cost saving. This study investigates the implementation of lithium-ion battery storage system at PV floating farm for reducing the electricity cost production on the grid system. In this study, to optimize the utilization of electricity production from PV, the installation of a Battery Energy Storage System (BESS) with load shifting and load smoothing methods was added, then the additional tariff as compared to the Cost of Production (BPP) for Jamali peakers. The financial feasibility is conducted through a spread sheet financial modelling based on life cycle cost and levelized cost of electricity. The impact of PV floating with BESS to the grid is tested by a power system tool ETAP. This study found that the implementation of BESS at PV floating farm is potentially reduce the electricity cost production based on both full store and partial store scenarios. The PLTS Floating Cirata tariff is based on the Purchase Power Agreement, which is cUSD 5.8179/kWh, clearly this value cannot compete with (BPP) baseload generators such as PLTU which has a BPP which is still below the tariff. Meanwhile, the tariff based on the full store and partial store scenario is cUSD 10.8166/kWh and cUSD 11.4185/kWh. This rate is below the merit order cost peaker which has a range of cUSD (12,5116-17,7078)/kWh. From the BPP results obtained, there is a reduction or savings in Jamali's BPP of cUSD 1.6950/kWh with a full store scenario or cUSD 1.0931/kWh with a partial store scenario. The difference of financial cost saving between both scenarios is not significant. Other finding is the implementation of BESS with PV floating does not affect significantly the grid system stability. The result of study is useful for energy developer and buyer or off taker to define the right cost of power purchasing agreement for battery energy storage system application. It also supports the utility firms that want to utilize the storage technology for achieving more flexible, reliable and resilient of their grid. Further research is recommended to study a capacity optimization of battery storage to the PV farm, to investigate more unit analysis, to asses various capacity of battery and to analyze it at different grid system.}
		}