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Dynamic Multi-Level Generation and Transmission Expansion Planning Model of Multi-Carrier Energy System to Improve Resilience of Power System | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| دوره 6، شماره 1، خرداد 2023، صفحه 13-30 اصل مقاله (1.8 M) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2023.42385.1428 | ||
| نویسندگان | ||
| Mahnaz Rezaei1؛ Mohammad Tolou Askari* 2؛ Meysam Amirahmadi3؛ Vahid Ghods1 | ||
| 1Department of Electrical Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran | ||
| 2Faculty of Department of Electrical and Electronic Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran | ||
| 3Department of Electrical and Electronic Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran | ||
| چکیده | ||
| Since the presence of an energy hub (EH) leads to change the expansion planning problem of electrical power system. Therefore, in this study, the nature of optimal generation and transmission expansion planning in the presence of EH is studied. Also, the effect of applying the proposed hub with and without considering energy storages (ESs) as well as the short and long-term corrective actions to reduce the losses and costs are investigated. In addition, demand response and line transmission switching are considered as effective approaches to improve resilience in the proposed dynamic multi-level model. This nonlinear problem is solved sequentially considering the random approach and using differential evolution algorithm (DEA) and the symphony orchestra search algorithm (SOSA). In this paper, the proposed objective functions are studied in five-level and the results show the efficiency of this model in solving the planning problem. The findings show that the proposed planning model decreased capital costs of transmission switches as much as 26%, the capital cost of the transmission as much as 2.29%, the congestion cost as much as 1.8%, The capital cost of generation units as much as 3.75%, the payment capacity paid to generation units as much as 1.8%. Also, the expected profit of the generation units has increased as much as 3.75%. To show the competence of the proposed algorithms, the 400-kV test system with 52 buses in Iran is simulated in MATLAB environment. | ||
| کلیدواژهها | ||
| Corrective actions؛ Coordinated GEP & TEP (CGTEP)؛ Multi-Carrier energy system؛ Resilience improvement | ||
| مراجع | ||
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[1] X. Luo and Y. Liu, "A multiple-coalition-based energy trading scheme of hierarchical integrated energy systems," Sustainable Cities and Society, vol. 64, p. 102518, 2021.
[2] S. Rahgozar, A. Z. G. Seyyedi, and P. Siano, "A resilience-oriented planning of energy hub by considering demand response program and energy storage systems," Journal of Energy Storage, vol. 52, p. 104841, 2022.
[3] R. Yan, T. K. Saha, F. Bai, and H. Gu, "The anatomy of the 2016 South Australia blackout: A catastrophic event in a high renewable network," IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 5374-5388, 2018.
[4] X. Zhang, S. Mahadevan, S. Sankararaman, and K. Goebel, "Resilience-based network design under uncertainty," Reliability Engineering & System Safety, vol. 169, pp. 364-379, 2018.
[5] K. Ramirez-Meyers, W. N. Mann, T. Deetjen, S. Johnson, J. Rhodes, and M. Webber, "How different power plant types contribute to electric grid reliability, resilience, and vulnerability: a comparative analytical framework," Progress in Energy, vol. 3, no. 3, p. 033001, 2021.
[6] S. Lumbreras and A. Ramos, "The new challenges to transmission expansion planning. Survey of recent practice and literature review," Electric Power Systems Research, vol. 134, pp. 19-29, 2016.
[7] A. Hussain, V. H. Bui, and H. M. Kim, "Optimal operation of hybrid microgrids for enhancing resiliency considering feasible islanding and survivability," IET Renewable Power Generation, vol. 11, no. 6, pp. 846-857, 2017.
[8] G. Jayadev, B. D. Leibowicz, and E. Kutanoglu, "US electricity infrastructure of the future: Generation and transmission pathways through 2050," Applied energy, vol. 260, p. 114267, 2020.
[9] S. M. Mohseni-Bonab, I. Kamwa, A. Rabiee, and C. Chung, "Stochastic optimal transmission Switching: A novel approach to enhance power grid security margins through vulnerability mitigation under renewables uncertainties," Applied Energy, vol. 305, p. 117851, 2022.
[10] C. A. Sima, M. O. Popescu, C. L. Popescu, M. Alexandru, and G. Lazaroiu, "Increasing RESS share using generation and transmission expansion planning-stochastic approach," in 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2019: IEEE, pp. 1-6.
[11] S. A. Eghbali Khob, M. Moazzami, and R. Hemmati, "Advanced model for joint generation and transmission expansion planning including reactive power and security constraints of the network integrated with wind turbine," International Transactions on Electrical Energy Systems, vol. 29, no. 4, p. e2799, 2019.
[12] X. Yang, Z. Chen, X. Huang, R. Li, S. Xu, and C. Yang, "Robust capacity optimization methods for integrated energy systems considering demand response and thermal comfort," Energy, vol. 221, p. 119727, 2021.
[13] A. Ahmarinejad, "A multi-objective optimization framework for dynamic planning of energy hub considering integrated demand response program," Sustainable Cities and Society, vol. 74, p. 103136, 2021.
[14] T. Xu, C. Shao, M. Shahidehpour, and X. Wang, "Coordinated Planning Strategies of Power Systems and Energy Transportation Networks for Resilience Enhancement," IEEE Transactions on Sustainable Energy, 2022.
[15] M. Shivaie, M. Kiani-Moghaddam, and P. D. Weinsier, "A vulnerability-constrained quad-level model for coordination of generation and transmission expansion planning under seismic-and terrorist-induced events," International Journal of Electrical Power & Energy Systems, vol. 120, p. 105958, 2020.
[16] W. Gan et al., "A tri-level planning approach to resilient expansion and hardening of coupled power distribution and transportation systems," IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 1495-1507, 2021.
[17] Y.-P. Fang, C. Fang, E. Zio, and M. Xie, "Resilient critical infrastructure planning under disruptions considering recovery scheduling," IEEE Transactions on Engineering Management, vol. 68, no. 2, pp. 452-466, 2019.
[18] Y. Wang, A. O. Rousis, and G. Strbac, "A Three-Level Planning Model for Optimal Sizing of Networked Microgrids Considering a Trade-Off Between Resilience and Cost," IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 5657-5669, 2021.
[19] K. Yurtseven and E. Karatepe, "Influence of inherent characteristic of PV plants in risk-based stochastic dynamic substation expansion planning under MILP framework," IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 750-763, 2021.
[20] C. Guo, C. Ye, Y. Ding, and P. Wang, "A multi-state model for transmission system resilience enhancement against short-circuit faults caused by extreme weather events," IEEE Transactions on Power Delivery, vol. 36, no. 4, pp. 2374-2385, 2020.
[21] Y.-K. Wu, Y.-C. Chen, H.-L. Chang, and J.-S. Hong, "The effect of decision analysis on power system resilience and economic value during a severe weather event," IEEE Transactions on Industry Applications, vol. 58, no. 2, pp. 1685-1695, 2022.
[22] Y.-K. Wu, Y.-C. Wu, H.-L. Chang, and J.-S. Hong, "Using Extreme Wind-Speed Probabilistic Forecasts to Optimize Unit Scheduling Decision," IEEE Transactions on Sustainable Energy, vol. 13, no. 2, pp. 818-829, 2021.
[23] T. Hussain, S. Suryanarayanan, T. M. Hansen, and S. S. Alam, "A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events," IEEE Access, 2022.
[24] D. N. Trakas and N. D. Hatziargyriou, "Strengthening transmission system resilience against extreme weather events by undergrounding selected lines," IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2808-2820, 2021.
[25] M. Abdelmalak and M. Benidris, "Enhancing power system operational resilience against wildfires," IEEE Transactions on Industry Applications, vol. 58, no. 2, pp. 1611-1621, 2022.
[26] M. Abdelmalak and M. Benidris, "Proactive Generation Redispatch to Enhance Power System Resilience During Hurricanes Considering Unavailability of Renewable Energy Sources," IEEE Transactions on Industry Applications, vol. 58, no. 3, pp. 3044-3053, 2022.
[27] H. Ranjbar, S. H. Hosseini, and H. Zareipour, "Resiliency-oriented planning of transmission systems and distributed energy resources," IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4114-4125, 2021.
[28] Y. Yang, J. C.-H. Peng, C. Ye, Z.-S. Ye, and Y. Ding, "A criterion and stochastic unit commitment towards frequency resilience of power systems," IEEE transactions on power systems, vol. 37, no. 1, pp. 640-652, 2021.
[29] K. Garifi, E. S. Johnson, B. Arguello, and B. J. Pierre, "Transmission Grid Resiliency Investment Optimization Model with SOCP Recovery Planning," IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 26-37, 2021.
[30] H. Nemati, M. A. Latify, and G. R. Yousefi, "Coordinated generation and transmission expansion planning for a power system under physical deliberate attacks," International Journal of Electrical Power & Energy Systems, vol. 96, pp. 208-221, 2018.
[31] Y. Fang and G. Sansavini, "Optimizing power system investments and resilience against attacks," Reliability Engineering & System Safety, vol. 159, pp. 161-173, 2017.
[32] M. Zeraati, Z. Aref, and M. A. Latify, "Vulnerability analysis of power systems under physical deliberate attacks considering geographic-cyber interdependence of the power system and communication network," IEEE Systems Journal, vol. 12, no. 4, pp. 3181-3190, 2017.
[33] N. M. Tabatabaei, S. N. Ravadanegh, and N. Bizon, Power Systems Resilience. Springer, 2018.
[34] M. Vahid-Pakdel, S. Nojavan, B. Mohammadi-Ivatloo, and K. Zare, "Stochastic optimization of energy hub operation with consideration of thermal energy market and demand response," energy Conversion and Management, vol. 145, pp. 117-128, 2017.
[35] R. Alvarez, C. Rahmann, R. Palma-Behnke, and P. Estévez, "A novel meta-heuristic model for the multi-year transmission network expansion planning," International Journal of Electrical Power & Energy Systems, vol. 107, pp. 523-537, 2019.
[36] M. Kiani-Moghaddam, M. Shivaie, and P. D. Weinsier, Modern Music-Inspired Optimization Algorithms for Electric Power Systems. Springer, 2019.
[37] M. T. Askari, M. Z. A. A. Kadir, M. Tahmasebi, and E. Bolandifar, "Modeling optimal long-term investment strategies of hybrid wind-thermal companies in restructured power market," Journal of Modern Power Systems and Clean Energy, vol. 7, no. 5, pp. 1267-1279, 2019.
[38] T. Lagos et al., "Identifying optimal portfolios of resilient network investments against natural hazards, with applications to earthquakes," IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 1411-1421, 2019.
[39] M. Askari, M. Ab Kadir, H. Hizam, and J. Jasni, "A new comprehensive model to simulate the restructured power market for seasonal price signals by considering on the wind resources," Journal of Renewable and Sustainable Energy, vol. 6, no. 2, p. 023104, 2014.
[40] J. Märkle-Huß, S. Feuerriegel, and D. Neumann, "Cost minimization of large-scale infrastructure for electricity generation and transmission," Omega, vol. 96, p. 102071, 2020.
[41] J. Aghaei, N. Amjady, A. Baharvandi, and M.-A. Akbari, "Generation and transmission expansion planning: MILP–based probabilistic model," IEEE Transactions on Power Systems, vol. 29, no. 4, pp. 1592-1601, 2014.
[42] M. Hosseini, R. Mirzaei, and S. S. Kourehli, "International Institute of Earthquake Engineering and Seismology." | ||
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آمار تعداد مشاهده مقاله: 376 تعداد دریافت فایل اصل مقاله: 333 |
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