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Optimization Electric Vehicle Charging Control Demand Side Management: Comparison
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Please note this is a comparison between Version 2 by Catherine Yang and Version 1 by Victor Fernandez Pallarés.

In this paper, we propose a novel demand-side management (DSM) system designed to optimize electric vehicle (EV) charging at public stations using model predictive control (MPC). The system adjusts to real-time grid conditions, electricity prices, and user preferences, providing a dynamic approach to energy distribution in smart city infrastructures. The key focus of the study is on reducing peak loads and enhancing grid stability, while minimizing charging costs for end users. Simulations were conducted under various scenarios, demonstrating the effectiveness of the proposed system in mitigating peak demand and optimizing energy use. Additionally, the system’s flexibility enables the adjustment of charging schedules to meet both grid requirements and user needs, making it a scalable solution for smart city development. However, current limitations include the assumption of uniform tariffs and the absence of renewable energy considerations, both of which are critical in real-world applications. Future research will focus on addressing these issues, improving scalability, and integrating renewable energy sources. The proposed framework represents a significant step towards efficient energy management in urban settings, contributing to both cost savings and environmental sustainability.

  • Smart City
  • Energy Management
  • Electric Vehicle
  • Smart Grid
  • Urban Planning
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References

  1. Pérez, V.; Aybar, C.; Pavía, J.M. COVID-19 and Changes in Social Habits. Restaurant Terraces, a Booming Space in Cities. The Case of Madrid. Mathematics 2021, 9, 2133.
  2. Campisi, T.; Severino, A.; Al-Rashid, M.A.; Pau, G. The Development of the Smart Cities in the Connected and Autonomous Vehicles (CAVs) Era: From Mobility Patterns to Scaling in Cities. Infrastructures 2021, 6, 100.
  3. Pandiyan, P.; Saravanan, S.; Usha, K.; Kanadasan, R.; Alsharif, M.H.; Kim, M.K. Technological advancements toward smart energy management in smart cities. Energy Rep. 2023, 10, 648–677.
  4. Humayun, M.; Alsaqer, M.S.; Jhanjhi, N. Energy Optimization for Smart Cities Using IoT. Appl. Artif. Intell. 2022, 36, 2037255.
  5. Pérez, V.; Aybar, C. Challenges in Geocoding: An Analysis of R Packages and Web Scraping Approaches. ISPRS Int. J. Geo-Inf. 2024, 13, 170.
  6. Kumar, H.; Singh, M.K.; Gupta, M.P.; Madaan, J. Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework. Technol. Forecast. Soc. Chang. 2020, 153, 119281.
  7. Nikitas, A.; Michalakopoulou, K.; Njoya, E.T.; Karampatzakis, D. Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era. Sustainability 2020, 12, 2789.
  8. Hilmani, A.; Maizate, A.; Hassouni, L. Automated Real-Time Intelligent Traffic Control System for Smart Cities Using Wireless Sensor Networks. Wirel. Commun. Mob. Comput. 2020, 2020, 8841893.
  9. Mishra, P.; Singh, G. Energy Management Systems in Sustainable Smart Cities Based on the Internet of Energy: A Technical Review. Energies 2023, 16, 6903.
  10. Khalid, M. Smart grids and renewable energy systems: Perspectives and grid integration challenges. Energy Strategy Rev. 2024, 51, 101299.
  11. Sadeghian, O.; Oshnoei, A.; Mohammadi, B.; Vahidinasab, V.; Anvari, A. A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges. J. Energy Storage 2022, 54, 105241.
  12. Filote, C.; Felseghi, R.A.; Raboaca, M.S.; Aschilean, I. Environmental impact assessment of green energy systems for power supply of electric vehicle charging station. Int. J. Energy Res. 2020, 44, 10471–10494.
  13. Naja, R.; Soni, A.; Carletti, C. Electric Vehicles Energy Management for Vehicle-to-Grid 6G-Based Smart Grid Networks. J. Sens. Actuator Netw. 2023, 12, 79.
  14. Atawi, I.E.; Al-Shetwi, A.Q.; Magableh, A.M.; Albalawi, O.H. Recent Advances in Hybrid Energy Storage System Integrated Renewable Power Generation: Configuration, Control, Applications, and Future Directions. Batteries 2023, 9, 29.
  15. Musa, A.A.; Malami, S.I.; Alanazi, F.; Ounaies, W.; Alshammari, M.; Haruna, S.I. Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations. Sustainability 2023, 15, 9859.
  16. Elsagheer, S.A. Intelligent Traffic Management System Based on the Internet of Vehicles (IoV). J. Adv. Transp. 2021, 2021, 4037533.
  17. Khan, S.; Nazir, S.; García-Magariño, I.; Hussain, A. Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion. Comput. Electr. Eng. 2021, 89, 106906.
  18. Tan, K.M.; Babu, T.S.; Ramachandaramurthy, V.K.; Kasinathan, P.; Solanki, S.G.; Raveendran, S.K. Empowering smart grid: A comprehensive review of energy storage technology and application with renewable energy integration. J. Energy Storage 2021, 39, 102591.
  19. Albogamy, F.R.; Khan, S.A.; Hafeez, G.; Murawwat, S.; Khan, S.; Haider, S.I.; Basit, A.; Thoben, K.-D. Real-Time Energy Management and Load Scheduling with Renewable Energy Integration in Smart Grid. Sustainability 2022, 14, 1792.
  20. İnci, M.; Çelik, Ö.; Lashab, A.; Bayındır, K.Ç.; Vasquez, J.C.; Guerrero, J.M. Power System Integration of Electric Vehicles: A Review on Impacts and Contributions to the Smart Grid. Appl. Sci. 2024, 14, 2246.
  21. Saleem, M.; Abbas, S.; Ghazal, T.M.; Khan, M.A.; Sahawneh, N.; Ahmad, M. Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques. Egypt. Inform. J. 2022, 23, 417–426.
  22. Abdel-Basset, M.; Gamal, A.; Hezam, I.M.; Sallam, K.M. Sustainability assessment of optimal location of electric vehicle charge stations: A conceptual framework for green energy into smart cities. Environ. Dev. Sustain. 2024, 26, 11475–11513.
  23. Campaña, M.; Inga, E.; Cárdenas, J. Optimal Sizing of Electric Vehicle Charging Stations Considering Urban Traffic Flow for Smart Cities. Energies 2021, 14, 4933.
  24. Li, Z.; Bahramirad, S.; Paaso, A.; Yan, M.; Shahidehpour, M. Blockchain for decentralized transactive energy management system in networked microgrids. Electr. J. 2019, 32, 58–72.
  25. Bogdanov, D.; Breyer, C. Role of smart charging of electric vehicles and vehicle-to-grid in integrated renewables-based energy systems on country level. Energy 2024, 301, 131635.
  26. Alsharif, A.; Tan, C.W.; Ayop, R.; Dobi, A.; Lau, K.Y. A comprehensive review of energy management strategy in Vehicle-to-Grid technology integrated with renewable energy sources. Sustain. Energy Technol. Assess. 2021, 47, 101439.
  27. Lee, S.; Choi, D.-H. Energy Management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning Approach. Sensors 2020, 20, 2157.
  28. Majumdar, S.; Subhani, M.M.; Roullier, B.; Anjum, A.; Zhu, R. Congestion prediction for smart sustainable cities using IoT and machine learning approaches. Sustain. Cities Soc. 2021, 64, 102500.
  29. Sharma, A.; Sharma, A.; Nikashina, P.; Gavrilenko, V.; Tselykh, A.; Bozhenyuk, A.; Masud, M.; Meshref, H. A Graph Neural Network (GNN)-Based Approach for Real-Time Estimation of Traffic Speed in Sustainable Smart Cities. Sustainability 2023, 15, 11893.
  30. Ruggieri, R.; Ruggeri, M.; Vinci, G.; Poponi, S. Electric Mobility in a Smart City: European Overview. Energies 2021, 14, 315.
  31. Abu-Rayash, A.; Dincer, I. Development of integrated sustainability performance indicators for better management of smart cities. Sustain. Cities Soc. 2021, 67, 102704.
  32. Nigam, N.; Singh, D.P.; Choudhary, J. A Review of Different Components of the Intelligent Traffic Management System (ITMS). Symmetry 2023, 15, 583.
  33. Silva, B.N.; Khan, M.; Han, K. Integration of Big Data analytics embedded smart city architecture with RESTful web of things for efficient service provision and energy management. Future Gener. Comput. Syst. 2020, 107, 975–987.
  34. Nie, X.; Peng, J.; Wu, Y.; Gupta, B.B.; Abd El-Latif, A.A. Real-Time Traffic Speed Estimation for Smart Cities with Spatial Temporal Data: A Gated Graph Attention Network Approach. Big Data Res. 2022, 28, 100313.
  35. Englund, C.; Aksoy, E.E.; Alonso-Fernandez, F.; Cooney, M.D.; Pashami, S.; Åstrand, B. AI Perspectives in Smart Cities and Communities to Enable Road Vehicle Automation and Smart Traffic Control. Smart Cities 2021, 4, 783–802.
  36. Lee, K.-B.; Ahmed, M.A.; Kang, D.-K.; Kim, Y.-C. Deep Reinforcement Learning Based Optimal Route and Charging Station Selection. Energies 2020, 13, 6255.
  37. Xu, W.; Li, J.; Dehghani, M.; GhasemiGarpachi, M. Blockchain-based secure energy policy and management of renewable-based smart microgrids. Sustain. Cities Soc. 2021, 72, 103010.
  38. Kumari, A.; Chintukumar Sukharamwala, U.; Tanwar, S.; Raboaca, M.S.; Alqahtani, F.; Tolba, A.; Sharma, R.; Aschilean, I.; Mihaltan, T.C. Blockchain-Based Peer-to-Peer Transactive Energy Management Scheme for Smart Grid System. Sensors 2022, 22, 4826.
  39. Sharma, G.; Joshi, A.M.; Mohanty, S.P. sTrade: Blockchain based secure energy trading using vehicle-to-grid mutual authentication in smart transportation. Sustain. Energy Technol. Assess. 2023, 57, 103296.
  40. Su, X.; Hu, Y.; Liu, W.; Jiang, Z.; Qiu, C.; Xiong, J.; Sun, J. A blockchain-based smart contract model for secured energy trading management in smart microgrids. Secur. Priv. 2023, 7, e341.
  41. Das, H.S.; Rahman, M.M.; Li, S.; Tan, C.W. Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review. Renew. Sustain. Energy Rev. 2020, 120, 109618.
  42. Sachan, S.; Deb, S.; Singh, P.P.; Alam, M.S.; Shariff, S.M. A comprehensive review of standards and best practices for utility grid integration with electric vehicle charging stations. Wires Energy Environ. 2021, 11, e424.
  43. Campaña, M.; Inga, E. Optimal Planning of Electric Vehicle Charging Stations Considering Traffic Load for Smart Cities. World Electr. Veh. J. 2023, 14, 104.
  44. Rocha, G.P.; Meneguette, R.I.; Torres, J.R.; Valejo, A.; Weigang, L.; Ueyama, J.; Pessin, G.; Villas, L.A. Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities. Ad Hoc Netw. 2020, 107, 102265.
  45. Bellini, P.; Nesi, P.; Pantaleo, G. IoT-Enabled Smart Cities: A Review of Concepts, Frameworks and Key Technologies. Appl. Sci. 2022, 12, 1607.
  46. Esfandi, S.; Tayebi, S.; Byrne, J.; Taminiau, J.; Giyahchi, G.; Alavi, S.A. Smart Cities and Urban Energy Planning: An Advanced Review of Promises and Challenges. Smart Cities 2024, 7, 414–444.
  47. Khan, M.R.; Haider, Z.M.; Malik, F.H.; Almasoudi, F.M.; Alatawi, K.S.S.; Bhutta, M.S. A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques. Processes 2024, 12, 270.
  48. Iqbal, M.; Wang, T.; Li, G.; Chen, D.; Al-Nehari, M. A Study of Advanced Efficient Hybrid Electric Vehicles, Electric Propulsion and Energy Source. J. Power Energy Eng. 2022, 10, 1–12.
  49. Wolsey, L.A.; Nemhauser, G.L. Integer and Combinatorial Optimization; John Wiley & Sons: Hoboken, NJ, USA, 2014.
  50. Mobincity. Smart Mobility in Smart City. European Union, 2015. Grant Agreement Number 314328. Available online: https://cordis.europa.eu/project/id/314328 (accessed on 18 September 2024).
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