Smart Electric Vehicle Charging Approaches for Demand Response

Övrig text i vetenskaplig tidskrift, 2024

This editorial explores the recent advancements in the field of smart Electric Vehicle (EV) charging approaches, particularly in the context of demand response. As EVs become increasingly integrated into the power grid, significant challenges arise in maintaining the balance between supply and demand. These challenges require the development of innovative charging strategies that not only offer energy flexibility but also predict and optimize the charging behaviors of EVs connected to charging infrastructure.
Smart charging strategies, including unidirectional (V1G) and bidirectional (V2G) approaches, offer a means to better manage demand peaks, enhance grid reliability, and improve power quality. According to [1], the strategic placement of EV charging stations is crucial for optimizing grid operations, urban planning, and customer convenience. This study underscores the importance of location analysis in maximizing accessibility while minimizing the stress on local grids.
Incorporating renewable energy sources into EV charging infrastructure is equally critical. Solar photovoltaic (PV) systems, for instance, can support local grid stability while reducing reliance on fossil fuels. Reference [2] illustrates the effectiveness of smart charging technologies in achieving peak shaving and cost savings when integrated with PV systems. Bidirectional charging, in particular, enhances these benefits, achieving up to 8.1% additional cost efficiency compared to unidirectional systems. These findings emphasize the role of advanced energy management strategies in fostering sustainable urban mobility.
Moreover, innovative planning approaches are required to address the growing demand for EV charging infrastructure. Reference [3] presents an optimization model for reconfigurable EV chargers, which reduces both investment and operational costs in large car parks while meeting diverse energy needs. Such strategies highlight the potential of flexible and scalable solutions to adapt to varying energy demands across different regions.