Analyzing the Influence of Electric Vehicle Deployment on the Distribution Grid in the Presence of Demand-Responsive Loads

In today's technologically advanced world, the evolution of sophisticated platforms has played a pivotal role in enabling the efficient deployment of smart grid systems. These technological innovations allow energy operators to more effectively monitor and control consumer energy usage patterns. A key aim of such advancements is to shift electricity demand from peak periods to off-peak hours, thereby improving the reliability and stability of the power network. This load shifting also alleviates grid congestion during high-demand intervals, delivering significant advantages to both consumers and energy providers. These benefits are realized through strategies known as responsive load management. In this research, responsive load management is applied to a standard ۲۰-bus distribution system, consisting of ۳,۵۰۰ branches and capable of supporting up to ۲,۵۰۰ electric vehicles. The proposed approach focuses on reducing the collective energy consumption cost, while taking into account user-specific tolerances for electric vehicle charging delays. The impact of various electric vehicle penetration levels ۱۵%, ۴۰%, and ۷۵% has been evaluated using a genetic algorithm for optimization. The analysis reveals that by designating ۲۰% of the system's load as responsive, energy costs for consumers can be lowered by up to ۳۶%. Moreover, this strategy significantly bolsters network reliability and reduces the likelihood of power outages by curbing energy use during peak demand periods. These findings highlight the potential of responsive load management in promoting a more sustainable and robust energy infrastructure

کلیدواژه ها:

responsive load ، reliability ، distribution network stability ، electric vehicle ، distribution network