آمار

تعداد نشریات26
تعداد شماره‌ها373
تعداد مقالات3,302
تعداد مشاهده مقاله4,893,583
تعداد دریافت فایل اصل مقاله3,349,948
Behzadi, Saeed, Osali, Nasrin, Younesi, Abdollah, Bagheri, Amir. (1404). A Cost-Effective Trade-off in Distribution System Expansion Planning Between Construction of Conventional/Renewable Distributed Energy Sources in Long Term. سامانه مدیریت نشریات علمی, 13(3), 196-205. doi: 10.22098/joape.2024.15268.2161
Saeed Behzadi; Nasrin Osali; Abdollah Younesi; Amir Bagheri. "A Cost-Effective Trade-off in Distribution System Expansion Planning Between Construction of Conventional/Renewable Distributed Energy Sources in Long Term". سامانه مدیریت نشریات علمی, 13, 3, 1404, 196-205. doi: 10.22098/joape.2024.15268.2161
Behzadi, Saeed, Osali, Nasrin, Younesi, Abdollah, Bagheri, Amir. (1404). 'A Cost-Effective Trade-off in Distribution System Expansion Planning Between Construction of Conventional/Renewable Distributed Energy Sources in Long Term', سامانه مدیریت نشریات علمی, 13(3), pp. 196-205. doi: 10.22098/joape.2024.15268.2161
Behzadi, Saeed, Osali, Nasrin, Younesi, Abdollah, Bagheri, Amir. A Cost-Effective Trade-off in Distribution System Expansion Planning Between Construction of Conventional/Renewable Distributed Energy Sources in Long Term. سامانه مدیریت نشریات علمی, 1404; 13(3): 196-205. doi: 10.22098/joape.2024.15268.2161

A Cost-Effective Trade-off in Distribution System Expansion Planning Between Construction of Conventional/Renewable Distributed Energy Sources in Long Term

Journal of Operation and Automation in Power Engineering
مقاله 2، دوره 13، شماره 3، 2025، صفحه 196-205    اصل مقاله (1.27 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2024.15268.2161
نویسندگان
Saeed Behzadi* 1؛ Nasrin Osali2؛ Abdollah Younesi3؛ Amir Bagheri1
1Department of Electrical Engineering, University of Zanjan, Zanjan, Iran.
2Technical Department, Kooshkan Transformers Company, Zanjan, Iran.
3Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA.
چکیده
Nowadays, with the detrimental impacts of air pollution on human health and its significant societal expenses, it has been imperative to utilize renewable energy sources (RESs) and energy storage systems (ESSs). This study introduces a new objective function aimed at achieving a long-term optimal plan where it contrasts the outcomes of meeting network load demand with and without the integration of renewable/non-renewable distributed energy resources (DERs). The analysis considers installation and operational costs, addressing uncertainties through Monte-Carlo and scenario-based methodologies. The proposed problem is structured as a convex optimization model. Simulations are conducted on the IEEE 33-bus system, showcasing the model’s efficacy through cost efficiency and reduced emission expenses. The study confirms that the investment in renewable energy resources and ESS units can be recouped in less than five years. It was observed that in the long-term, there is a cost reduction of 29.4\% when DER units are incorporated. Also, the emission cost for the horizon year is diminished by 43.2\% compared to the case where the DERs are absent.
کلیدواژه‌ها
Distribution system planning؛ Renewable energy sources؛ Energy storage systems؛ Uncertainty؛ Convex optimization
مراجع
  1. H. Seifi and M. S. Sepasian, Electric power system planning: issues, algorithms and solutions, vol. 49. Springer, 2011.
  2. B. Ahmadi, O. Ceylan, A. Ozdemir, and M. Fotuhi-Firuzabad, “A multi-objective framework for distributed energy resources planning and storage management,” Appl. Energy, vol. 314, p. 118887, 2022.
  3. T. D. de Lima, A. Tabares, N. B. Arias, and J. F. Franco, “Investment & generation costs vs co2 emissions in the distribution system expansion planning: A multi-objective stochastic programming approach,” Int. J. Electr. Power Energy Syst., vol. 131, p. 106925, 2021.
  4. A. Fathy, D. Yousri, A. Y. Abdelaziz, and H. S. Ramadan, “Robust approach based chimp optimization algorithm for minimizing power loss of electrical distribution networks via allocating distributed generators,” Sustainable Energy Technol. Assess., vol. 47, p. 101359, 2021.
  5. A. Nargeszar, A. Ghaedi, M. Nafar, and M. Simab, “Optimal planning of renewable energy-based micro grids considering the reliability cost,” J. Oper. Autom. Power Eng., 2024.
  6. F. Borousan and M.-A. Hamidan, “Distributed power generation planning for distribution network using chimp optimization algorithm in order to reliability improvement,” Electr. Power Syst. Res., vol. 217, p. 109109, 2023.
  7. Y. Gilasi, S. H. Hosseini, and H. Ranjbar, “Resiliency-oriented optimal siting and sizing of distributed energy resources in distribution systems,” Electr. Power Syst. Res., vol. 208, p. 107875, 2022.
  8. Y. Gilasi, S. H. Hosseini, and H. Ranjbar, “Resiliency-oriented optimal siting and sizing of distributed energy resources in distribution systems,” Electr. Power Syst. Res., vol. 208, p. 107875, 2022.
  9. S. Behzadi and A. Bagheri, “A convex micro-gridbased optimization model for planning of resilient and sustainable distribution systems considering feeders routing and siting/sizing of substations and dg units,” Sustainable Cities Soc., vol. 97, p. 104787, 2023.
  10. P. Boonluk, A. Siritaratiwat, P. Fuangfoo, and S. Khunkitti, “Optimal siting and sizing of battery energy storage systems for distribution network of distribution system operators,” Batteries, vol. 6, no. 4, p. 56, 2020.
  11. L. Luo, S. S. Abdulkareem, A. Rezvani, M. R. Miveh, S. Samad, N. Aljojo, and M. Pazhoohesh, “Optimal scheduling of a renewable based microgrid considering photovoltaic system and battery energy storage under uncertainty,” J. Energy Storage, vol. 28, p. 101306, 2020.
  12. S. Behzadi, A. Bagheri, and A. Rabiee, “Optimal operation of reconfigurable active distribution networks aiming at resiliency improvement,” in 2023 8th Int. Conf. Technol. Energy Manage., pp. 1–7, IEEE, 2023.
  13. H. Abdel-mawgoud, S. Kamel, M. Ebeed, and A.-R. Youssef, “Optimal allocation of renewable dg sources in distribution networks considering load growth,” in 2017 Nineteenth Int. Middle East Power Syst. Conf., pp. 1236–1241, IEEE, 2017.
  14. A. Ramadan, M. Ebeed, S. Kamel, E. M. Ahmed, and M. Tostado-Véliz, “Optimal allocation of renewable dgs using artificial hummingbird algorithm under uncertainty conditions,” Ain Shams Eng. J., vol. 14, no. 2, p. 101872, 2023.
  15. S. Behzadi, A. Bagheri, and A. Rabiee, “Resilience-oriented operation of micro-grids in both grid-connected and isolated conditions within sustainable active distribution networks,” ArXiv Preprint ArXiv:2403.19147, 2024.
  16. S. Galvani, A. Bagheri, M. Farhadi-Kangarlu, and N. Nikdel, “A multi-objective probabilistic approach for smart voltage control in wind-energy integrated networks considering correlated parameters,” Sustainable Cities Soc., vol. 78, p. 103651, 2022.
  17. A. Shapiro, “Monte carlo sampling methods,” Handbooks Oper. Res. Manage. Sci., vol. 10, pp. 353–425, 2003.
  18. G. Hamerly and C. Elkan, “Alternatives to the k-means algorithm that find better clusterings,” in Proc. Eleventh Int. Conf. Inf. Knowl. Manage., pp. 600–607, 2002.
  19. A. Soroudi, Power system optimization modeling in GAMS, vol. 78. Springer, 2017.
  20. H. A. Yousefian, A. Jalilvand, S. Behzadi, and A. Bagheri, “Evaluating the effects of micro-grid formation on hosting capacity of resilient electrical distribution networks,” in 2024 28th Int. Electr. Power Distrib. Conf., pp. 1–8, IEEE, 2024.
  21. V. A. Evangelopoulos and P. S. Georgilakis, “Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm,” IET Gener. Transm. Distrib., vol. 8, no. 3, pp. 389–400, 2014.
  22. E. Hajipour, M. Bozorg, and M. Fotuhi-Firuzabad, “Stochastic capacity expansion planning of remote microgrids with wind farms and energy storage,” IEEE Trans. Sustainable Energy, vol. 6, no. 2, pp. 491–498, 2015.
  23. D. Q. Hung, N. Mithulananthan, and R. Bansal, “Integration of pv and bes units in commercial distribution systems considering energy loss and voltage stability,” Appl. Energy, vol. 113, pp. 1162–1170, 2014.
  24. Y. Reddy, J. Jithendranath, A. K. Chakraborty, and J. M. Guerrero, “Stochastic optimal power flow in islanded dc microgrids with correlated load and solar pv uncertainties,” Appl. Energy, vol. 307, p. 118090, 2022.
آمار
تعداد مشاهده مقاله: 318
تعداد دریافت فایل اصل مقاله: 274


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب