## 1 Introduction
### Research Literature Review
Nonetheless, it may not comprehensively integrate dynamic power distribution network reconfiguration or thoroughly address technical grid aspects, potentially leading to suboptimal planning decisions. Reference [16] investigates optimal planning considering electric vehicle penetration and distribution network loss. By accounting for these factors, the research aims to optimize the placement and capacity of battery swapping infrastructure to minimize losses and enhance efficiency. However, it may not fully integrate dynamic power distribution network reconfiguration or offer comprehensive insights into technical grid aspects, potentially resulting in less effective planning decisions. Reference [17] addresses optimal planning considering load variability and system uncertainty. By incorporating these factors, the study aims to develop robust battery swapping infrastructure capable of adapting to changing conditions and uncertainties. Nevertheless, it may not comprehensively integrate dynamic power distribution network reconfiguration or thoroughly address technical grid aspects, potentially compromising the planning approach's effectiveness. Reference [18] investigates optimal sizing considering electric vehicle charging behavior. By analyzing charging patterns and behaviors, the research aims to optimize the capacity of battery swapping stations to effectively meet demand. However, it may not fully integrate dynamic power distribution network reconfiguration or offer comprehensive insights into technical grid aspects, potentially leading to suboptimal sizing decisions. Reference [19] addresses optimal sizing and allocation considering load uncertainty. By accounting for variations in demand, the study aims to optimize the distribution of battery swapping infrastructure to improve grid reliability and resilience. However, it may not comprehensively integrate dynamic power distribution network reconfiguration or thoroughly address technical grid aspects, potentially leading to less effective allocation decisions. Reference [20] investigates optimal placement and sizing considering renewable energy integration. By integrating renewable energy sources, the research aims to develop sustainable battery swapping infrastructure aligned with decarbonization goals. However, it may not fully integrate dynamic power distribution network reconfiguration or offer comprehensive insights into technical grid aspects, potentially compromising the planning approach's sustainability. Reference [21] addresses optimal placement considering voltage stability. By ensuring voltage stability, the study aims to enhance the reliability and performance of battery swapping infrastructure within the distribution network. Nonetheless, it may not comprehensively integrate dynamic power distribution network reconfiguration or thoroughly address technical grid aspects, potentially leading to less effective placement decisions. Reference [22] investigates optimal placement and sizing considering electric vehicle charging behavior. By analyzing charging patterns, the research aims to optimize the capacity and distribution of battery swapping infrastructure to effectively meet demand. However, it may not fully integrate dynamic power distribution network reconfiguration or offer comprehensive insights into technical grid aspects, potentially leading to suboptimal planning decisions. Reference [23] addresses optimal sizing and sizing with high penetration of electric vehicles. By considering the impact of electric vehicle adoption, the study aims to develop scalable battery swapping infrastructure capable of accommodating increasing demand. Nevertheless, it may not comprehensively integrate dynamic power distribution network reconfiguration or thoroughly address technical grid aspects, potentially leading to less effective sizing and citing decisions.