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Aggregator Design for Optimal Management of Charging and Discharging of Electric Vehicles in the Smart Grid Context | ||
AUT Journal of Electrical Engineering | ||
دوره 57، شماره 1، 2025، صفحه 131-146 اصل مقاله (1.19 M) | ||
نوع مقاله: Research Article | ||
شناسه دیجیتال (DOI): 10.22060/eej.2024.23242.5595 | ||
نویسنده | ||
Reza Eslami* | ||
Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran | ||
چکیده | ||
The reduction of fossil fuel reserves, advancements in science and technology, increased network loading, the emergence of new energy sources and loads, etc., have contributed to the rise of smart grids. Within smart grids, distributed generation resources play a pivotal role in meeting the network's power requirements. Among these resources, renewable energies and electric vehicles are notable examples. In this context, the presence of electric vehicles on smart grids has led to numerous opportunities and challenges, underscoring the need for effective management of these vehicles. Among these concepts, a relatively new one known as the “Electric Vehicle Aggregator” is introduced. This aggregator provides the opportunity to participate in the demand-side management of energy networks by managing the scheduling of electric vehicle charging and discharging. In this paper, an attempt has been made to reduce the energy received from the grid by using the solar microgrid and considering the ability to connect to the upstream grid, and designing a new aggregator to maximize the profit of the owner of the aggregator. The proposed model has been designed, implemented, and tested over a 25-year time period using Homer software. The simulation results also show that using the proposed model despite considering the initial investment of the solar microgrid in the target functions, improvement and increase in the profit of the aggregator owner. The cost of the aggregator in the proposed method of this paper is 24.48$, while the same cost in the method used in the main reference is 29.62$. | ||
کلیدواژهها | ||
Smart Grid؛ Electric Vehicles؛ EV Aggregator؛ Solar Microgrid؛ Vehicle-to-Grid | ||
مراجع | ||
[1] A. K. Mathur and P. K. Yemula, "Optimal charging schedule for electric vehicles in parking lot with solar power generation," in 2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 2018: IEEE, pp. 611-615.
[2] A. Zahedmanesh, K. M. Muttaqi, and D. Sutanto, "A consecutive energy management approach for a VPP comprising commercial loads and electric vehicle parking lots integrated with solar PV units and energy storage systems," in 2019 1st Global Power, Energy and Communication Conference (GPECOM), 2019: IEEE, pp. 242-247.
[3] G. A. RANI and P. L. PRIYA, "Robust Scheduling of Electric Vehicle Charging for PV Integrated Parking-lots," in 2020 International Conference on Power, Instrumentation, Control and Computing (PICC), 2020: IEEE, pp. 1-6.
[4] M. J. Mirzaei and A. Kazemi, "A dynamic approach to optimal planning of electric vehicle parking lots," Sustainable Energy, Grids and Networks, vol. 24, p. 100404, 2020.
[5] B. Sun, "A multi-objective optimization model for fast electric vehicle charging stations with wind, PV power and energy storage," Journal of Cleaner Production, vol. 288, p. 125564, 2021.
[6] A. Aljanad, A. Mohamed, T. Khatib, A. Ayob, and H. Shareef, "A novel charging and discharging algorithm of plug-in hybrid electric vehicles considering vehicle-to-grid and photovoltaic generation," World Electric Vehicle Journal, vol. 10, no. 4, p. 61, 2019.
[7] U. B. Irshad, M. S. H. Nizami, S. Rafique, M. J. Hossain, and S. C. Mukhopadhyay, "A battery energy storage sizing method for parking lot equipped with EV chargers," IEEE Systems Journal, vol. 15, no. 3, pp. 4459-4469, 2020.
[8] K. Zhou, L. Cheng, L. Wen, X. Lu, and T. Ding, "A coordinated charging scheduling method for electric vehicles considering different charging demands," Energy, vol. 213, p. 118882, 2020.
[9] X. Li et al., "A cost-benefit analysis of V2G electric vehicles supporting peak shaving in Shanghai," Electric Power Systems Research, vol. 179, p. 106058, 2020.
[10] W. Jiang and Y. Zhen, "A real-time EV charging scheduling for parking lots with PV system and energy store system," IEEE Access, vol. 7, pp. 86184-86193, 2019.
[11] S. Das, P. Acharjee, and A. Bhattacharya, "Charging scheduling of electric vehicle incorporating grid-to-vehicle (G2V) and vehicle-to-grid (V2G) technology in smart-grid," in 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), 2020: IEEE, pp. 1-6.
[12] M. S. Mastoi et al., "A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networks," Energy Reports, vol. 9, pp. 1777-1806, 2023.
[13] M. Vahid-Ghavidel, M. S. Javadi, S. F. Santos, M. Gough, M. Shafie-khah, and J. P. Catalão, "Energy storage system impact on the operation of a demand response aggregator," Journal of Energy Storage, vol. 64, p. 107222, 2023.
[14] H. Wang, M. Shi, P. Xie, Q. Dong, and Y. Jia, "Optimal operating regime of an electric vehicle aggregator considering reserve provision," Energy Reports, vol. 8, pp. 353-362, 2022.
[15] J. Chen, H. Hou, W. Wu, and X. Wu, "Optimal operation between electric power aggregator and electric vehicle based on Stackelberg game model," Energy Reports, vol. 9, pp. 699-706, 2023.
[16] S. de la Torre, J. Aguado, and E. Sauma, "Optimal scheduling of ancillary services provided by an electric vehicle aggregator," Energy, vol. 265, p. 126147, 2023.
[17] M. Shafie-Khah, P. Siano, D. Z. Fitiwi, N. Mahmoudi, and J. P. Catalao, "An innovative two-level model for electric vehicle parking lots in distribution systems with renewable energy," IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 1506-1520, 2017.
[18] N. Neyestani, M. Y. Damavandi, M. Shafie-Khah, J. Contreras, and J. P. Catalão, "Allocation of plug-in vehicles' parking lots in distribution systems considering network-constrained objectives," IEEE Transactions on Power Systems, vol. 30, no. 5, pp. 2643-2656, 2014.
[19] S. Talari, M. Yazdaninejad, and M. R. Haghifam, "Stochastic‐based scheduling of the microgrid operation including wind turbines, photovoltaic cells, energy storages and responsive loads," IET Generation, Transmission & Distribution, vol. 9, no. 12, pp. 1498-1509, 2015. | ||
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