Urban power load profiles under ageing transition integrated with future EVs charging

Understanding ageing transition caused fine-grained changes of electricity profile is the significant insight for coping with future threatens in grid flexibility management. The research gaps for the hourly-basis knowledge exist due to challenges in microanalysis on user-side behavior. Based on billions of users' behavior data, we investigated the changes on the load profiles due to population aging. We found that owing to ageing transition, the participation population in high electricity-density activities decreases by about 8%. The corresponding shift in driving behavior rises the 14% difference between peak charging load and valley. We concluded that population aging will dramatically change both the magnitude and shape of future dynamic-load profiles. Therefore, we further suggested a new solution with comprehensive and quantitative management for PVs development and the smart charging market with smooth operation of the grid in coupling the potential challenges caused by the ageing issue.

Automated summary

Understanding the fine-grained changes in electricity profile caused by ageing transition is crucial for managing future threats in grid flexibility. Research on hourly-basis knowledge gaps exists due to challenges in microanalysis of user behavior. Through the analysis of billions of users' data, it was found that population ageing leads to a decrease in participation in high electricity-density activities, resulting in a 14% difference between peak charging load and valley, and will significantly change the magnitude and shape of future dynamic load profiles. It is suggested to have comprehensive and quantitative management for PVs development and the smart charging market to deal with potential challenges caused by ageing.