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Shadi, Sh., Salehi, J., Safari, A.. (1403). Traffic Uncertainty Modeling and Energy Management of Smart Distribution Networks with the Presence of Parking Lots. سامانه مدیریت نشریات علمی, 13(1), 88-98. doi: 10.22098/joape.2024.12065.1894
Sh. Shadi; J. Salehi; A. Safari. "Traffic Uncertainty Modeling and Energy Management of Smart Distribution Networks with the Presence of Parking Lots". سامانه مدیریت نشریات علمی, 13, 1, 1403, 88-98. doi: 10.22098/joape.2024.12065.1894
Shadi, Sh., Salehi, J., Safari, A.. (1403). 'Traffic Uncertainty Modeling and Energy Management of Smart Distribution Networks with the Presence of Parking Lots', سامانه مدیریت نشریات علمی, 13(1), pp. 88-98. doi: 10.22098/joape.2024.12065.1894
Shadi, Sh., Salehi, J., Safari, A.. Traffic Uncertainty Modeling and Energy Management of Smart Distribution Networks with the Presence of Parking Lots. سامانه مدیریت نشریات علمی, 1403; 13(1): 88-98. doi: 10.22098/joape.2024.12065.1894

Traffic Uncertainty Modeling and Energy Management of Smart Distribution Networks with the Presence of Parking Lots

Journal of Operation and Automation in Power Engineering
مقاله 7، دوره 13، شماره 1، فروردین 2025، صفحه 88-98    اصل مقاله (939.65 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2024.12065.1894
نویسندگان
Sh. Shadi؛ J. Salehi* ؛ A. Safari
Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran.
چکیده
Energy management (EM) in smart distribution networks (SDN) is to schedule the power transaction between the SDN and the existing distributed energy resources (DERs) e.g., distributed generations, especially renewable resources and electrical vehicles, from an eco-technical viewpoint. Due to the dual role of electric vehicles (EVs) acting as a power source and load, they presented both challenges and opportunities in EM. The complexity of EM increases as DERs become more prevalent in SDN. Moreover, the uncertainties of renewable resources, price, and load besides the uncertainties related to the place, amount, and time of EV’s charging makes EM a more intricate field. This supports the necessity of extensive tools and approaches to manage EM in SDNs. In this respect, this paper proposes an optimum scenario-based stochastic energy management scheme for intelligent distribution networks. The proposed approach is modeled as a MINLP problem and solved in GAMS software under the DICOPT solver. The test is conducted on a 33-bus SDN with and without factoring in uncertainties.
کلیدواژه‌ها
Energy management؛ distribution network؛ electrical vehicle؛ parking lot؛ traffic؛ uncertainty
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