| Abstract |
In a smart city, road traffic plays a crucial role in reducing traffic blockage, where the distributed generators (DGs) can energize, when power shortages occur in metropolitan areas. Present days,Urban transportation is a complex system with non-linear feedback loops and different variables affected by environmental factors, social factors, and transportation. In this paper, the resilience development approach by DG placement and line hardening for smart power distribution system coupled with the smart green transportation (SPDS-SGT) in the smart city infrastructure has been proposed. To minimize the cost of aggregating vehicle travel time and load shedding during DG placement tri-level optimization framework has been utilized [7]. Here The first stage is to obtain the DG placement and line hardening approach, Further the second stage is to find the fault line to increase the aggregating vehicle travel time and load shedding, and the final stage is to reduce the cost of travel and cost of load shedding. In the Smart Green transportation, the dynamic equilibrium of the user (DEU) is ascertained in a model for cell transmission (MCT) and resolved by a complementary linear method.The coupled SPDS-SGT is examined as two decoupled framework on cloud computing platform. Here, the equivalent bi-level model transformed from the tri-level method via Karush-Kuhn-Tucker (KKT) has been resolved using greedy search approach. The experimental results show that the effectiveness of the proposed system using case studies with a relevant method for coupled SPDS-SGT has shown prominent outcomes. © 2024, Collegium Basilea. All rights reserved. |
