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A Peer-to-Peer Energy Trading Optimization for Peak Load Management in Energy Internet Systems | ||
| Journal of Modeling and Simulation in Electrical and Electronics Engineering | ||
| دوره 6، شماره 1 - شماره پیاپی 23، خرداد 2026، صفحه 1-11 اصل مقاله (1.13 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22075/mseee.2026.39530.1234 | ||
| نویسنده | ||
| Leila Mohammadian* | ||
| Department of Electrical Engineering, Shab.C., Islamic Azad University, Shabestar, Iran. | ||
| تاریخ دریافت: 07 آبان 1404، تاریخ بازنگری: 07 دی 1404، تاریخ پذیرش: 16 دی 1404 | ||
| چکیده | ||
| The convergence of widespread renewable energy sources (RES) and Internet of Things (IoT) technologies has catalyzed the development of the Energy Internet (EI), enabling advanced energy management paradigms. The EI framework facilitates the integration of numerous distributed generation units and leverages digital intelligence to enhance energy sharing, optimize grid asset utilization, and bolster overall power system security. Concurrently, rapid socio-economic growth has intensified global energy demand, leading to periodic shortages that challenge grid reliability. These scarcity conditions are predominantly manifested during peak load periods of the system. Consequently, a significant body of research is dedicated to peak load shifting and shaving to mitigate this issue. Nevertheless, few studies have systematically exploited the full capabilities of the EI framework to achieve this critical objective. This research, therefore, aims to develop and propose an EI-based optimization problem specifically designed to solve the peak load shifting problem with the primary goal of minimizing total system cost. The proposed methodology achieves this by optimizing the scheduled charging and discharging cycles of end-user Energy Storage Systems (ESS). Within this formulated problem, each prosumer—an entity that is both a consumer and a potential supplier—participates in a localized energy market. The operational cost model must comprehensively account for the costs of power sourced from the conventional grid and local RES, the storage dynamics within the ESS, and the accurate application of Real-Time Pricing (RTP) signals to all generated and consumed energy. | ||
| کلیدواژهها | ||
| Energy Internet؛ Energy Storage System؛ Peak Load Shifting؛ Prosumer؛ Real-Time Pricing | ||
| مراجع | ||
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[1] H. Farhangi, "The path of the smart grid," IEEE Power Energy Mag., vol. 8, no. 1, pp. 18–28, Jan. 2010.
[2] F. Blaabjerg, Y. Yang, D. Yang, and X. Wang, "Distributed power-generation systems and protection," Proc. IEEE, vol. 105, no. 7, pp. 1311–1331, Jul. 2017.
[3] J. A. Pecas Lopes, N. Hatziargyriou, J. Mutale, P. Djapic, and N. Jenkins, "Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities," Electr. Power Syst. Res., vol. 77, no. 9, pp. 1189–1203, Jul. 2007.
[4] R. H. Lasseter, "MicroGrids," in Proc. IEEE Power Eng. Soc. Winter Meeting, 2002, pp. 305–308.
[5] A. Q. Huang, M. L. Crow, G. T. Heydt, J. P. Zheng, and S. J. Dale, "The future renewable electric energy delivery and management system: The energy internet," Proc. IEEE, vol. 99, no. 1, pp. 133–148, Jan. 2011.
[6] N. Hatziargyriou, H. Asano, R. Iravani, and C. Marnay, "Microgrids," IEEE Power Energy Mag., vol. 5, no. 4, pp. 78–94, Jul. 2007.
[7] H. Farham, L. Mohammadian, H. Alipour, J. Pouladi, “Robust performance of photovoltaic/wind/grid-based large electricity consumer,” Solar Energy, vol. 174, pp. 923–932, 2018.
[8] J. M. Guerrero, M. Chandorkar, T. Lee, and P. C. Loh, "Advanced control architectures for intelligent microgrids—Part I: Decentralized and hierarchical control," IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1254–1262, Apr. 2013.
[9] S. Rahman and G. B. Shrestha, "A novel approach to scheduling energy storage systems in a competitive electricity market," IEEE Trans. Power Syst., vol. 18, no. 2, pp. 447–454, May 2003.
[10] P. Palensky and D. Dietrich, "Demand side management: Demand response, intelligent energy systems, and smart loads," IEEE Trans. Ind. Informat., vol. 7, no. 3, pp. 381–388, Aug. 2011.
[11] A. Ipakchi and F. Albuyeh, "Grid of the future," IEEE Power Energy Mag., vol. 7, no. 2, pp. 52–62, Mar. 2009.
[12] S. Chowdhury, S. P. Chowdhury, and P. Crossley, Microgrids and Active Distribution Networks. London, U.K.: IET, 2009.
[13] D. S. Kirschen and G. Strbac, Fundamentals of Power System Economics. Chichester, U.K.: Wiley, 2004.
[14] M. H. Albadi and E. F. El-Saadany, "A summary of demand response in electricity markets," Electr. Power Syst. Res., vol. 78, no. 11, pp. 1989–1996, Nov. 2008.
[15] G. Strbac, "Demand side management: Benefits and challenges," Energy Policy, vol. 36, no. 12, pp. 4419–4426, Dec. 2008.
[16] P. Siano, "Demand response and smart grids—A survey," Renew. Sustain. Energy Rev., vol. 30, pp. 461–478, Feb. 2014.
[17] H. A. Aalami, M. P. Moghaddam, and G. R. Yousefi, "Demand response modeling considering Interruptible/Curtailable loads and capacity market programs," Appl. Energy, vol. 87, no. 1, pp. 243–250, Jan. 2010.
[18] J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuña, and M. Castilla, "Hierarchical control of droop-controlled AC and DC microgrids—A general approach toward standardization," IEEE Trans. Ind. Electron., vol. 58, no. 1, pp. 158–172, Jan. 2011.
[19] Y. Riffonneau, S. Bacha, F. Barruel, and S. Ploix, "Optimal power flow management for grid-connected PV systems with batteries," IEEE Trans. Sustain. Energy, vol. 2, no. 3, pp. 309–320, Jul. 2011.
[20] T. Logenthiran, D. Srinivasan, and T. Z. Shun, "Demand side management in smart grid using heuristic optimization," IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1244–1252, Sep. 2012.
[21] A. G. Tsikalakis and N. D. Hatziargyriou, "Centralized control for optimizing microgrids operation," IEEE Trans. Energy Convers., vol. 23, no. 1, pp. 241–248, Mar. 2008.
[22] A. J. Conejo, J. M. Morales, and L. Baringo, "Real-time demand response model," IEEE Trans. Smart Grid, vol. 1, no. 3, pp. 236–242, Dec. 2010.
[23] M. D. Galus, S. Koch, and G. Andersson, "Provision of load frequency control by PHEVs, controllable loads, and a cogeneration unit," IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4568–4582, Oct. 2011.
[24] H. Farham, L. Mohammadian, H. Alipour, J. Pouladi, “Energy procurement of large industrial consumer via interval optimization approach considering peak demand management,” Sustainable Cities and Society, vol. 46, p. 101421, 2019.
[25] D. T. Nguyen and L. B. Le, "Risk-constrained profit maximization for microgrid aggregators with demand response," IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 135–146, Jan. 2015.
[26] P. D. Lund, J. Lindgren, J. Mikkola, and J. Salpakari, "Review of energy system optimization models," Renew. Sustain. Energy Rev., vol. 110, pp. 1–18, Aug. 2019.
[27] B. Zhao, X. Zhang, J. Chen, C. Wang, and L. Guo, "Operation optimization of standalone microgrids considering lifetime characteristics of battery energy storage system," IEEE Trans. Sustain. Energy, vol. 4, no. 4, pp. 934–943, Oct. 2013.
[28] B. Sheykhloei, T. Abedinzadeh, L. Mohammadian, B. Mohammadi-Ivatloo, “Optimal co-scheduling of distributed generation resources and natural gas network considering uncertainties,” Journal of Energy Storage, vol. 21, pp. 383–392, 2019.
[29] B. Sheykhloei, T. Abedinzadeh, L. Mohammadian, B. Mohammadi-Ivatloo, “Stochastic optimal operation and risk assessment for integrated power and gas systems”, J. Oper. Autom. Power Eng., vol. 9, pp. 80-87, 2021.
[30] S. H. Dolatabadi and B. Mohammadi-Ivatloo, "Stochastic optimization for energy management in power systems with renewable energy resources," IEEE Trans. Sustain. Energy, vol. 10, no. 1, pp. 1–12, Jan. 2019.
[31] L. Mohammadian, “Integrating Renewable Energy and Demand Response Strategies for Cost-Effective Industrial Energy Management.” Journal of Artificial Intelligence in Electrical Engineering, vol. 13, no. 52, pp. 16-25, 2025.
[32] M. H. Moradi, M. Eskandari, and S. M. Hosseinian, "Operational strategy optimization in a hybrid renewable energy system using improved harmony search method," Energy Convers. Manage., vol. 90, pp. 399–411, Jan. 2015.
[33] S. S. Reddy and C. S. R. K. Raju, "Multi-objective optimization in power systems," Electr. Power Syst. Res., vol. 169, pp. 1–12, Apr. 2019.
[34] Z. Wang, B. Chen, J. Wang, and C. Chen, "Networked microgrids for self-healing power systems," IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 310–319, Jan. 2016.
[35] S. Rahman and M. H. Nehrir, "A review of recent advances in smart grid optimization techniques," Renew. Sustain. Energy Rev., vol. 110, pp. 109–122, Aug. 2019.
[36] G. Mohebalizadeh, H. Alipour, L. Mohammadian, and M. Sabahi, “An Improved Sliding Mode Controller for DC/DC Boost Converters Used in EV Battery Chargers with Robustness against the Input Voltage Variations”, International Journal of Industrial Electronics Control and Optimization, 4(2), 257-266, 2021. doi: 10.22111/ieco.2020.34462.1278.
[37] A. Soroudi and M. Ehsan, "A robust optimization approach for distribution networks considering uncertainties," IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1218–1226, May 2013.
[38] S. H. Dolatabadi and B. Mohammadi-Ivatloo, "Stochastic optimization for energy management in power systems with renewable energy resources," IEEE Trans. Sustain. Energy, vol. 10, no. 1, pp. 1–12, Jan. 2019.
[39] Z. Wang, B. Chen, J. Wang, and C. Chen, "Networked microgrids for self-healing power systems," IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 310–319, Jan. 2016.
[40] D. T. Nguyen and L. B. Le, "Risk-constrained profit maximization for microgrid aggregators with demand response," IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 135–146, Jan. 2015. | ||
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آمار تعداد مشاهده مقاله: 116 تعداد دریافت فایل اصل مقاله: 127 |
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