LOCATION AND CAPACITY OPTIMIZATION OF PUBLIC ELECTRIC VEHICLE CHARGING STATIONS IN SURABAYA CITY USING GENETIC ALGORITHM
The transportation sector is the second-largest contributor to carbon emissions in Indonesia, accounting for 23.14% of total carbon emissions in 2021. To reduce these emissions, the transition to electric vehicles (EVs) is a key measure. However, infrastructure limitations, especially electric vehic...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87607 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The transportation sector is the second-largest contributor to carbon emissions in Indonesia, accounting for 23.14% of total carbon emissions in 2021. To reduce these emissions, the transition to electric vehicles (EVs) is a key measure. However, infrastructure limitations, especially electric vehicle charging stations, result in long waiting times, which reduces consumer interest. Considering that the demand for charging at public electric vehicle charging stations is also influenced by home charging, the proportion of home charging ownership among customers must be considered in the future planning of public charging station development. Based on this, the aim of this research is to plan the addition of locations and capacities for public charging station in Surabaya for both long-term (in 2030) and short-term (annual) planning, to optimize public charging station operations and consider the optimal proportion of home charging ownership. The prediction of future EV population is conducted using multivariate regression, considering factors affecting consumer interest. Subsequently, modeling is performed using an agent-based modeling approach, and optimization is carried out with a genetic algorithm to determine the optimal configuration for public charging stations and home charging ownership. The results show that the optimal home charging ownership is 28% of the EV population, along with the construction of new public charging stations at strategic locations, which can provide optimal operational profit of up to Rp78.6 million per day in 2030. This research is expected to serve as a strategic guide for policymakers in supporting the transition to electric vehicles through infrastructure planning and the development of effective policies. |
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