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A robust optimal restoration approach for the multi-microgrid active distribution network in the presence of the MESS fleet
Ehsan Lotfi1 , Amin Samanfar * 1, Mahdi Nikzad2
1- Islamic Azad University, Khorramabad Branch
2- Islamic Azad University, Islamshahr Branch
Abstract:   (145 Views)
The occurrence of natural disasters can lead to the destruction of communication roads and electricity distribution lines. In this situation, to feed sensitive loads the flexibility of the network can be increased using the fleet of Mobile Energy Storage Systems (MESS). However, the destructive effects of natural disasters are not limited to the infrastructure of the electricity distribution network and may also damage some road lines which disrupts the dispatch of the MESS fleet. Since these failures are not certain, it is necessary to consider these uncertainties when determining the restoration scheduling of the Multi-Microgrid Active Distribution Network (MMADN) in the presence of the MESS fleet. In this regard, a comprehensive optimal robust restoration method for the distribution network after natural disasters is presented. In the proposed model, the MESS fleet dispatch along with their charge and discharge schedule is determined in coordination with the available local energy resource in the MMADN considering the worst simultaneous damages to the roads and distribution lines. Also, a two-level approach with a meta-heuristic algorithm in the upper level and the CPLEX solver in the lower level is developed to solve the proposed robust model. The simulation results on the modified IEEE 33-bus distribution network confirm the efficiency of the proposed method to schedule the MESS fleet and the microgrid resources to restore critical loads, optimally.
Keywords: MESS fleet, restoration, uncertainty, active distribution network, microgrid.
     
Type of Study: Research |
Received: 2023/12/4 | Accepted: 2024/10/6
References
1. [1] Z. Bie, Y. Lin, G. Li, and F. Li, "Battling the Extreme: A Study on the Power System Resilience," Proceedings of the IEEE, vol. 105, no. 7, pp. 1253-1266, 2017, doi: 10.1109/JPROC.2017.2679040. [DOI:10.1109/JPROC.2017.2679040]
2. [2] M. Panteli, D. N. Trakas, P. Mancarella, and N. D. Hatziargyriou, "Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies," Proceedings of the IEEE, vol. 105, no. 7, pp. 1202-1213, 2017, doi: 10.1109/JPROC.2017.2691357. [DOI:10.1109/JPROC.2017.2691357]
3. [3] Y. Wang, C. Chen, J. Wang, and R. Baldick, "Research on Resilience of Power Systems Under Natural Disasters-A Review," IEEE Transactions on Power Systems, vol. 31, no. 2, pp. 1604-1613, 2016, doi: 10.1109/TPWRS.2015.2429656. [DOI:10.1109/TPWRS.2015.2429656]
4. [4] Y. Li, K. Xie, L. Wang, and Y. Xiang, "Exploiting network topology optimization and demand side management to improve bulk power system resilience under windstorms," Electric Power Systems Research, vol. 171, pp. 127-140, 2019/06/01/ 2019, doi: https://doi.org/10.1016/j.epsr.2019.02.014 [DOI:10.1016/j.epsr.2019.02.014.]
5. [5] N. M. Tabatabaei, S. N. Ravadanegh, and N. Bizon, Power systems resilience: Modeling, analysis and practice. Springer, 2018.
6. [6] C. Chen, J. Wang, and D. Ton, "Modernizing distribution system restoration to achieve grid resiliency against extreme weather events: an integrated solution," Proceedings of the IEEE, vol. 105, no. 7, pp. 1267-1288, 2017. [DOI:10.1109/JPROC.2017.2684780]
7. [7] R. Saberi, H. Falaghi, and M. Esmaeeli, "Resilience-Based Framework for Distributed Generation Planning in Distribution Networks," (in eng), Iranian Electric Industry Journal of Quality and Productivity, Research vol. 9, no. 4, pp. 35-49, 2020, doi: 10.29252/ieijqp.9.4.35. [DOI:10.29252/ieijqp.9.4.35]
8. [8] S. Riahinia and A. abbaspour, "Considering energy storage resources and DGs in distribution system restoration," (in eng), Iranian Electric Industry Journal of Quality and Productivity, Research vol. 6, no. 2, pp. 98-106, 2018. [Online]. Available: http://ieijqp.ir/article-1-469-fa.html.
9. [9] m. alizadeh, m. jafari, and m. shahabi, "Improving the resilience of active distribution networks by optimal charging/discharging management of electric vehicles in parking lots," (in eng), Iranian Electric Industry Journal of Quality and Productivity, Research vol. 10, no. 2, pp. 57-74, 2021. [Online]. Available: http://ieijqp.ir/article-1-781-fa.html.
10. [10] M. Mousavizadeh, M. r. haghifam, and m. h. shariatkhah, "A Linear Path-based Method to Load Restoration in Distribution Networks by Microgrids Formation," (in eng), Iranian Electric Industry Journal of Quality and Productivity, Research vol. 7, no. 1, pp. 35-44, 2018. [Online]. Available: http://ieijqp.ir/article-1-468-fa.html.
11. [11] N. Ghanaei, M. Samiei Moghaddam, E. Alibeaki, N. Salehi, and R. Davarzani, "Bi-Level Optimization of Microgrids Considering Electric Vehicles under the Worst Conditions of Renewable Resource Output," (in eng), Iranian Electric Industry Journal of Quality and Productivity, Research vol. 12, no. 3, pp. 74-84, 2023. [Online]. Available: http://ieijqp.ir/article-1-953-fa.html.
12. [12] A. Samimi and M. Nikzad, "Optimal Restoration of Active Distribution Systems for Enhancing Resilience Considering the Uncertainty of Renewable Sources," (in eng), Iranian Electric Industry Journal of Quality and Productivity, Research vol. 10, no. 3, pp. 97-108, 2021. [Online]. Available: http://ieijqp.ir/article-1-806-fa.html.
13. [13] D. G. Photovoltaics, "IEEE Guide for Design, Operation, and Maintenance of Battery Energy Storage Systems, both Stationary and Mobile, and Applications Integrated with Electric Power Systems."
14. [14] S. Lei, J. Wang, C. Chen, and Y. Hou, "Mobile emergency generator pre-positioning and real-time allocation for resilient response to natural disasters," IEEE Transactions on Smart Grid, vol. 9, no. 3, pp. 2030-2041, 2016. [DOI:10.1109/TSG.2016.2605692]
15. [15] H. H. Abdeltawab and Y. A.-R. I. Mohamed, "Mobile energy storage scheduling and operation in active distribution systems," IEEE Transactions on Industrial Electronics, vol. 64, no. 9, pp. 6828-6840, 2017. [DOI:10.1109/TIE.2017.2682779]
16. [16] Y. Sun, Z. Li, W. Tian, and M. Shahidehpour, "A Lagrangian decomposition approach to energy storage transportation scheduling in power systems," IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4348-4356, 2016. [DOI:10.1109/TPWRS.2015.2511138]
17. [17] H. Gao, Y. Chen, S. Mei, S. Huang, and Y. Xu, "Resilience-oriented pre-hurricane resource allocation in distribution systems considering electric buses," Proceedings of the IEEE, vol. 105, no. 7, pp. 1214-1233, 2017. [DOI:10.1109/JPROC.2017.2666548]
18. [18] K. S. A. Sedzro, A. J. Lamadrid, and L. F. Zuluaga, "Allocation of resources using a microgrid formation approach for resilient electric grids," IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 2633-2643, 2017. [DOI:10.1109/TPWRS.2017.2746622]
19. [19] L. Che and M. Shahidehpour, "Adaptive formation of microgrids with mobile emergency resources for critical service restoration in extreme conditions," IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 742-753, 2018. [DOI:10.1109/TPWRS.2018.2866099]
20. [20] S. Lei, C. Chen, H. Zhou, and Y. Hou, "Routing and scheduling of mobile power sources for distribution system resilience enhancement," IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5650-5662, 2018. [DOI:10.1109/TSG.2018.2889347]
21. [21] S. Lei, C. Chen, Y. Li, and Y. Hou, "Resilient disaster recovery logistics of distribution systems: Co-optimize service restoration with repair crew and mobile power source dispatch," IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6187-6202, 2019. [DOI:10.1109/TSG.2019.2899353]
22. [22] S. Yao, P. Wang, and T. Zhao, "Transportable energy storage for more resilient distribution systems with multiple microgrids," IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 3331-3341, 2018. [DOI:10.1109/TSG.2018.2824820]
23. [23] S. Yao, P. Wang, X. Liu, H. Zhang, and T. Zhao, "Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration," IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1030-1043, 2020, doi: 10.1109/TSG.2019.2930012. [DOI:10.1109/TSG.2019.2930012]
24. [24] Z. Li, Y. Xu, P. Wang, and G. Xiao, "Coordinated preparation and recovery of a post-disaster Multi-energy distribution system considering thermal inertia and diverse uncertainties," Applied Energy, vol. 336, p. 120736, 2023/04/15/ 2023, doi: https://doi.org/10.1016/j.apenergy.2023.120736 [DOI:10.1016/j.apenergy.2023.120736.]
25. [25] J. Lofberg, "YALMIP : a toolbox for modeling and optimization in MATLAB," in 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508), 2-4 Sept. 2004 2004, pp. 284-289, doi: https://doi.org/10.1109/CACSD.2004.1393890 [DOI:10.1109/CACSD.2004.1393890.]


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