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Editorial

Smart Electric Vehicle Charging Approaches for Demand Response

1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
2
Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
*
Author to whom correspondence should be addressed.
Energies 2024, 17(24), 6273; https://doi.org/10.3390/en17246273 (registering DOI)
Submission received: 29 November 2024 / Accepted: 9 December 2024 / Published: 12 December 2024
(This article belongs to the Special Issue Smart Electric Vehicle Charging Approaches for Demand Response)
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.

1. Advanced Control and Optimization Techniques

The role of advanced control strategies and optimization algorithms in EV integration cannot be overstated. These technologies ensure the efficient operation of EVs and their seamless interaction with the grid. Reference [4] explores how EVs can contribute to grid reliability by compensating for the inherent variability of renewable energy sources, such as wind and solar. By leveraging EV batteries as distributed energy resources, grids can achieve greater stability even under fluctuating conditions.
Another critical aspect is improving the energy efficiency of EVs through real-time control. Nonlinear Model Predictive Control (NMPC), as discussed in [5], provides a practical framework for optimizing energy consumption. By adapting to dynamic driving profiles and environmental conditions, NMPC extends EV range and reduces overall energy use. These advancements are instrumental in enhancing the practicality and affordability of electric mobility.
However, the increasing use of EVs also raises concerns about power quality. Harmonics generated by multiple chargers operating simultaneously can affect grid stability and equipment performance. Reference [6] investigates these issues and provides insights into mitigating the impact of harmonic distortion. By addressing these technical challenges, researchers are paving the way for a more resilient and reliable charging ecosystem.

2. Energy Markets and Peer-to-Peer Transactions

Beyond technical optimization, integrating EVs into energy markets presents an opportunity for innovative business models. Reference [7] examines advanced DC-DC converters, which enable efficient energy storage and transfer, enhancing the operational capabilities of EV charging systems. Meanwhile, accurate battery management systems, as highlighted in [8], are crucial for ensuring transparency in capacity estimation and overall system performance.
Peer-to-peer (P2P) energy trading further expands the potential of EVs in modern energy systems. Reference [9] highlights the benefits of P2P transactions in industrial multi-energy hubs, demonstrating how these systems can enhance flexibility and reduce risk. By allowing decentralized energy trading among EV users, renewable energy generators, and other stakeholders, these models foster a collaborative approach to energy management that benefits all participants.

3. Enhancing Community Resilience

The integration of EVs into local energy systems is not only about efficiency but also resilience. During grid disturbances or natural disasters, bi-directional EV operations can provide critical backup power to residential communities. Reference [10] proposes a resiliency-sensitive decision-making mechanism that incorporates fuel-cell EVs in V2G mode. This approach ensures energy stability and supports local grids during abnormal conditions, offering a lifeline for communities in crisis.
Moreover, distributed energy resources, such as solar panels and battery storage systems, can work synergistically with EVs to create self-sustaining energy ecosystems. By leveraging these technologies, communities can reduce their dependence on centralized grids and enhance their ability to recover from disruptions.

4. Remarks

The integration of EVs into power grids represents a pivotal moment in the transition toward a sustainable energy future. Through smart charging strategies, advanced optimization techniques, and innovative market models, EVs can transform energy systems to be more efficient, resilient, and environmentally friendly. While challenges remain—particularly in ensuring power quality and managing infrastructure demands—ongoing research and technological advancements continue to address these obstacles.
Ultimately, the widespread adoption of EVs and their seamless integration into the grid depend on a holistic approach that balances technical innovation, market mechanisms, and community resilience. As evidenced by the studies cited, progress in this field not only enhances the viability of electric mobility but also contributes to a cleaner and more sustainable world.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Mazza, A.; Russo, A.; Chicco, G.; Di Martino, A.; Colombo, C.; Longo, M.; Ciliento, P.; De Donno, M.; Mapelli, F.; Lamberti, F. Categorization of Attributes and Features for the Location of Electric Vehicle Charging Stations. Energies 2024, 17, 3920. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Diaz-Londono, C.; Li, Y. Smart Electric Vehicle Charging Approaches for Demand Response. Energies 2024, 17, 6273. https://doi.org/10.3390/en17246273

AMA Style

Diaz-Londono C, Li Y. Smart Electric Vehicle Charging Approaches for Demand Response. Energies. 2024; 17(24):6273. https://doi.org/10.3390/en17246273

Chicago/Turabian Style

Diaz-Londono, Cesar, and Yang Li. 2024. "Smart Electric Vehicle Charging Approaches for Demand Response" Energies 17, no. 24: 6273. https://doi.org/10.3390/en17246273

APA Style

Diaz-Londono, C., & Li, Y. (2024). Smart Electric Vehicle Charging Approaches for Demand Response. Energies, 17(24), 6273. https://doi.org/10.3390/en17246273

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