In this paper, the resilience of the Ardabil province power distribution network was investigated at the level of medium voltage feeders by studying the interruptions of the feeders caused by weather conditions. To do this, the weighted sum of the “number of failures due to weather condition (NFW)”, “failure time duration due to weather condition (FTW)”, and “energy not supplied due to weather condition (ENSW)” were used as an index to assess the resilience of the network. Considering the power interruptions of the last five years, for the interruptions caused by the weather conditions, the numerical value of the defined index for the electricity distribution network of Ardabil province resulted in about 20%, which indicates that the resilience of this network is about 20% less than its ideal value (it is about 80%). To reduce the defined index (increase the resilience), one of the preventive methods is to harden the equipment used in the distribution network for which the feeders that have the highest impact on the defined index were extracted as high-risk feeders to be hardened. Also, to increase the resilience of the Ardabil electricity distribution network, some suggestions have been made to harden high-risk feeders. For this purpose, a number of high-risk feeders were visited to determine possible design discrepancies (contrary to the standard design announced by Tavanir) or their incorrect implementation. By comparing the current status of the studied feeders with the design standards, solutions were provided to correct and increase the strength of these feeders (preventive action to increase resilience). The implementation of the proposed hardening methods is expected to reduce the number of interruptions (due to weather conditions), which will decrease the obtained index and increase the resilience of the network. Moreover, based on this study, it was found that wind, severe storms, rain, thunderstorms, and snow are the most common causes of outages at the level of medium voltage feeders, respectively.
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1. alizadeh, m., jafari, m., & shahabi, m. (2021). Improving the resilience of active distribution networks by optimal charging/discharging management of electric vehicles in parking lots [Research]. Iranian Electric Industry Journal of Quality and Productivity, 10(2), 57-74. 2. Cutter, S. L., Ahearn, J. A., Amadei, B., Crawford, P., Eide, E. A., Galloway, G. E., . . . Schoch-Spana, M. (2013). Disaster resilience: A national imperative. Environment: Science and Policy for Sustainable Development, 55(2), 25-29. [ DOI:10.1080/00139157.2013.768076] 3. Ebadat-Parast, M., Nazari, M. H., & Hosseinian, S. H. (2022). Distribution system resilience enhancement through resilience-oriented optimal scheduling of multi-microgrids considering normal and emergency conditions interlink utilizing multi-objective programming. Sustainable Cities and Society, 76, 103467. [ DOI:10.1016/j.scs.2021.103467] 4. Fanucchi, R. Z., Bessani, M., Camillo, M. H., Soares, A. d. S., London Jr, J. B., Desuó, L., & Maciel, C. D. (2019). Stochastic indexes for power distribution systems resilience analysis. IET Generation, Transmission & Distribution, 13(12), 2507-2516. [ DOI:10.1049/iet-gtd.2018.6667] 5. Ghasemi, S., Moshtagh, J., & Abdi, F. (2022). Implementation of Hour-by-Hour Restoration Plan for Electrical Distribution Networks to improve Network Resiliency. Computational Intelligence in Electrical Engineering. 6. Guerritore, W. (2013). Insurance as a Risk Management Instrument for Energy Infrastructure Security and Resilience. In: Nova Science Publishers, Inc.: Hauppauge, NY, USA. 7. Panteli, M., Mancarella, P., Trakas, D. N., Kyriakides, E., & Hatziargyriou, N. D. (2017). Metrics and quantification of operational and infrastructure resilience in power systems. IEEE Transactions on Power Systems, 32(6), 4732-4742. [ DOI:10.1109/TPWRS.2017.2664141] 8. Raoufi, H., Vahidinasab, V., & Mehran, K. (2021). Building a Comprehensive Conceptual Framework for Power Systems Resilience Metrics. Iranian Electric Industry Journal of Quality and Productivity, 10(2), 28-39. 9. Saberi, R., Falaghi, H., & Esmaeeli, M. (2020). A New Index for Quantitative Assessment of Distribution Network Resilience in the Presence of Distributed Generations. Energy Engineering & Management, 10(3), 30-43. 10. Tabatabaei, N. M., Ravadanegh, S. N., & Bizon, N. (2018). Power Systems Resilience. Springer. 11. Tari, A. N., Sepasian, M. S., & Kenari, M. T. (2021). Resilience assessment and improvement of distribution networks against extreme weather events. International Journal of Electrical Power & Energy Systems, 125, 106414. [ DOI:10.1016/j.ijepes.2020.106414] 12. Wang, C., Hou, Y., Qiu, F., Lei, S., & Liu, K. (2016). Resilience enhancement with sequentially proactive operation strategies. IEEE Transactions on Power Systems, 32(4), 2847-2857. [ DOI:10.1109/TPWRS.2016.2622858] 13. Xia, J., Xu, F., & Huang, G. (2020). Research on power grid resilience and power supply restoration during disasters-A review. Flood Impact Mitigation and Resilience Enhancement. [ DOI:10.5772/intechopen.94514] 14. Younesi, A., Shayeghi, H., Wang, Z., Siano, P., Mehrizi-Sani, A., & Safari, A. (2022). Trends in modern power systems resilience: State-of-the-art review. Renewable and Sustainable Energy Reviews, 162, 112397. [ DOI:10.1016/j.rser.2022.112397] |
