OPTIMAL PLACEMENT AND SIZING OF BATTERY ENERGY STORAGE SYSTEM BY MEANS OF LOSS SENSITIVITY FACTOR

• Main Author: Dewanata, Claysius
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/47887
• Institution: Institut Teknologi Bandung

Climate change has significantly become one of the biggest challenges in the lives of modern society. To overcome the problem of climate change, one way that can be taken is to decarbonize the power system, in the form of integrating more Renewable Energy (RE) in existing power systems, and in the power system that will be built. However, the use of RE in power systems brings new problems. Intermittent RE sources such as wind and solar energy are so dependent on the weather that changes in it, such as clouds and turbulence, will affect energy production. These conditions cause the RE power plant is not suitable for use in peak load conditions. An alternative to the problem is to use a Battery Energy Storage System (BESS). BESS installation must be considered carefully because the unoptimal location for BESS placement and unoptimal BESS capacity will increase the losses significantly and reduce the value of the benefits of BESS itself. This final project applies Loss Sensitivity Factor (LSF) to get the optimal BESS placement and capacity. This approach will be based on ?LSF which is defined as the difference between the average LSF value when charging and the average LSF value when discharging. By using the ?LSF method, optimal placement can be obtained which is marked by the system losses being the minimum compared to other buses. Optimal capacity can also be obtained which, when combined with the optimal placement, can further minimize the losses in the system.