DECISION FRAMEWORK FOR DETERMINING THE OPTIMAL CHARGING CAPACITY OF THE ELECTRIC SCOOTER BATTERY SWAPPING STATION

• Main Author: Tri Wardhani, Rizka
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/58060
• Institution: Institut Teknologi Bandung

To strengthen Indonesia energy security and reduce air pollution, Indonesia needs to adapt new efficient and environment-friendly technologies. One promising solution is to replace conventional motorcycles and scooters by electric scooters. To popularize the electric scooters, a good supporting infrastructure such as battery swapping stations (BSSs) is essential. There are many key decisions related to developing the supporting infrastructure, and the charging capacity of the BSS, i.e., the number of charging slots in the station, is one among them. Although high charging capacity (more charging slots) needs higher investment. It can provide more batteries ready for use any time and yields better service level. This is particularly important when the demand is uncertain. Besides, higher capacity also helps take benefits from price differentiation, because it gives more room to charge the batteries in the off-peak hour with lower prices. This thesis presents a decision framework to determine the optimal total charging capacity for BSSs in a region, especially for the stochastic demand and variant charging price. We develop a deterministic mathematical programming to optimize the charging plan based on given demand and prices for each time period. The research contribution of this thesis is to provides the new algorithm based on a new decision framework to determine the optimal total charging capacity for BSSs in a region, especially for the stochastic demand and variant charging price. We develop a deterministic mathematical programming to optimize the charging plan based on given demand and prices for each time period..A scenario-based approach is used to evaluate the performance under different demand and capacity, and thus provides decision aid for the decision maker. The simulation studies based on the Indonesian data demonstrate the effectiveness of the proposed framework.