POWER SYSTEMS RESILIENCE ENHANCEMENT: A REVIEW OF OPERATIONAL ENHANCEMENT APPROACHES
DOI:
https://doi.org/10.17501/2513258X.2023.7102Keywords:
operational measures, resilience, climate change, extreme weather, power systems resilience enhancement, modellingAbstract
Power system resilience enhancement (PSRE) describes approaches used in reducing the extent of direct impacts caused by climate change and approaches in quickly restoring the grid functionality to its usual status. Recently, much research has been conducted on PSRE approaches to the effects of climate change. There are abundant review papers on PSRE to the impacts of climate. But there are no significant amounts of review papers focusing on operational resilience enhancement approaches on the entire power system, particularly with the focus and classifications suggested in this paper. Operational resilience-oriented modelling approaches and strategies have been comprehensively reviewed across five distinct dimensions including operational strategy, enhancement type, hierarchy, modelling methods and model formulation. A standard literature review process was followed to identify articles, with the initial search covering PSRE in general. Out of these, papers focusing on operational resilience enhancement were selected. The selected papers were classified according to the operational enhancement approaches, enhancement types, modelling methods, model formulation and the enhanced hierarchy criteria. The operational approaches, which include distributed energy resources, microgrids, preventive control, response, design standards upgrade, advanced visualisation and situational awareness systems and advanced and adaptive restoration operational techniques, were reviewed. The study reveals that for a single operational approach, different enhancement techniques can be employed using different modelling techniques. However, limited studies have so far explored an entire grid improvement as opposed to transmission and distribution structures. In addition, among the optimisation, probabilistic, simulation and AI based modelling methods, optimisation approaches have been extensively used. There are very limited studies that combine these modelling approaches in one study. Research gaps and directions for future research have been suggested in this paper.
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Arab, A., Khodaei, A., Eskandarpour, R., Thompson, M. P., & Wei, Y. (2021). Three Lines of Defense for Wildfire Risk Management in Electric Power Grids: A Review. In IEEE Access (Vol. 9, pp. 61577–61593). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2021.3074477
Aziz, T., Lin, Z., Waseem, M., & Liu, S. (2021). Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience. In International Transactions on Electrical Energy Systems (Vol. 31, Issue 3). John Wiley and Sons Ltd. https://doi.org/10.1002/2050-7038.12704
Biswas, S., Singh, M. K., & Centeno, V. A. (2021). Chance-Constrained Optimal Distribution Network Partitioning to Enhance Power Grid Resilience. IEEE Access, 9, 42169–42181. https://doi.org/10.1109/ACCESS.2021.3065577
Chen, B., Wang, J., Lu, X., Chen, C., & Zhao, S. (2021). Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review. In IEEE Transactions on Smart Grid (Vol. 12, Issue 1, pp. 18–32). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/TSG.2020.3010570
Gao, H., Chen, Y., Xu, Y., & Liu, C. C. (2016). Resilience-Oriented Critical Load Restoration Using Microgrids in Distribution Systems. IEEE Transactions on Smart Grid, 7(6), 2837–2848. https://doi.org/10.1109/TSG.2016.2550625
Ghiasi, M., Dehghani, M., Niknam, T., Baghaee, H. R., Padmanaban, S., Gharehpetian, G. B., & Aliev, H. (2021). Resiliency/Cost-Based Optimal Design of Distribution Network to Maintain Power System Stability against Physical Attacks: A Practical Study Case. IEEE Access, 9, 43862–43875. https://doi.org/10.1109/ACCESS.2021.3066419
Hosseini, M. M., & Parvania, M. (2021). Artificial intelligence for resilience enhancement of power distribution systems. Electricity Journal, 34(1). https://doi.org/10.1016/j.tej.2020.106880
Huang, G., Wang, J., Chen, C., Qi, J., & Guo, C. (2017). Integration of Preventive and Emergency Responses for Power Grid Resilience Enhancement. IEEE Transactions on Power Systems, 32(6), 4451–4463. https://doi.org/10.1109/TPWRS.2017.2685640
Kamruzzaman, M., Duan, J., Shi, D., & Benidris, M. (2021). A Deep Reinforcement Learning-based Multi-Agent Framework to Enhance Power System Resilience using Shunt Resources. IEEE Transactions on Power Systems. https://doi.org/10.1109/TPWRS.2021.3078446
Kumar, N., Poonia, V., Gupta, B. B., & Goyal, M. K. (2021). A novel framework for risk assessment and resilience of critical infrastructure towards climate change. Technological Forecasting and Social Change, 165. https://doi.org/10.1016/j.techfore.2020.120532
Lai, K., Wang, Y., Shi, D., Illindala, M. S., Zhang, X., & Wang, Z. (2018). A Resilient Power System Operation Strategy Considering Transmission Line Attacks. IEEE Access, 6, 70633–70643. https://doi.org/10.1109/ACCESS.2018.2875854
Li, Z., Shahidehpour, M., Aminifar, F., Alabdulwahab, A., & Al-Turki, Y. (2017). Networked Microgrids for Enhancing the Power System Resilience. In Proceedings of the IEEE (Vol. 105, Issue 7, pp. 1289–1310). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/JPROC.2017.2685558
Lin, Y., Bie, Z., & Qiu, A. (2018). A review of key strategies in realizing power system resilience. Global Energy Interconnection, 1(1), 70–78. https://doi.org/10.14171/j.2096-5117.gei.2018.01.009
Liu, J., Qin, C., & Yu, Y. (2020). Enhancing Distribution System Resilience with Proactive Islanding and RCS-Based Fast Fault Isolation and Service Restoration. IEEE Transactions on Smart Grid, 11(3), 2381–2395. https://doi.org/10.1109/TSG.2019.2953716
Liu, X., Shahidehpour, M., Li, Z., Liu, X., Cao, Y., & Bie, Z. (2017). Microgrids for Enhancing the Power Grid Resilience in Extreme Conditions. IEEE Transactions on Smart Grid, 8(2), 589–597. https://doi.org/10.1109/TSG.2016.2579999
Lu, J., Guo, J., Jian, Z., Yang, Y., & Tang, W. (2018). Resilience assessment and its enhancement in tackling adverse impact of ice disasters for power transmission systems. Energies, 11(9). https://doi.org/10.3390/en11092272
Mahzarnia, M., Moghaddam, M. P., Baboli, P. T., & Siano, P. (2020). A Review of the Measures to Enhance Power Systems Resilience. In IEEE Systems Journal (Vol. 14, Issue 3, pp. 4059–4070). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/JSYST.2020.2965993
Mohamed, M. A., Chen, T., Su, W., & Jin, T. (2019). Proactive Resilience of Power Systems against Natural Disasters: A Literature Review. IEEE Access, 7, 163778–163795. https://doi.org/10.1109/ACCESS.2019.2952362
Mohammadi Darestani, Y., Sanny, K., Shafieezadeh, A., & Fereshtehnejad, E. (2021). Life cycle resilience quantification and enhancement of power distribution systems: A risk-based approach. Structural Safety, 90. https://doi.org/10.1016/j.strusafe.2021.102075
Nazemi, M., Moeini-Aghtaie, M., Fotuhi-Firuzabad, M., & Dehghanian, P. (2020). Energy storage planning for enhanced resilience of power distribution networks against earthquakes. IEEE Transactions on Sustainable Energy, 11(2), 795–806. https://doi.org/10.1109/TSTE.2019.2907613
Nezamoddini, N., Mousavian, S., & Erol-Kantarci, M. (2017). A risk optimization model for enhanced power grid resilience against physical attacks. Electric Power Systems Research, 143, 329–338. https://doi.org/10.1016/j.epsr.2016.08.046
Oh, S., Heo, K., Jufri, F. H., Choi, M., & Jung, J. (2021). Storm-Induced Power Grid Damage Forecasting Method for Solving Low Probability Event Data. IEEE Access, 9, 20521–20530. https://doi.org/10.1109/ACCESS.2021.3055146
Panteli, M., & Mancarella, P. (2015). The grid: Stronger, bigger, smarter?: Presenting a conceptual framework of power system resilience. IEEE Power and Energy Magazine, 13(3), 58–66. https://doi.org/10.1109/MPE.2015.2397334
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. https://doi.org/10.1109/TPWRS.2017.2664141
Panteli, M., Pickering, C., Wilkinson, S., Dawson, R., Mancarella, P., & Member, S. (2017). Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures. IEEE TRANSACTIONS ON POWER SYSTEMS, 32(5), 3747. https://doi.org/10.1109/TPWRS.2016.2641463
Panteli, M., Trakas, D. N., Mancarella, P., & Hatziargyriou, N. D. (2017). Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies. Proceedings of the IEEE, 105(7), 1202–1213. https://doi.org/10.1109/JPROC.2017.2691357
Poudel, S., & Dubey, A. (2019). Critical Load Restoration Using Distributed Energy Resources for Resilient Power Distribution System. IEEE Transactions on Power Systems, 34(1), 52–63. https://doi.org/10.1109/TPWRS.2018.2860256
Shen, L., & Tang, L. C. (2019). Enhancing resilience analysis of power systems using robust estimation. Reliability Engineering and System Safety, 186, 134–142. https://doi.org/10.1016/j.ress.2019.02.022
Sun, K., Xiao, H., Pan, J., & Liu, Y. (2021). VSC-HVDC Interties for Urban Power Grid Enhancement. IEEE Transactions on Power Systems. https://doi.org/10.1109/TPWRS.2021.3067199
Taheri, B., Safdarian, A., Moeini-Aghtaie, M., & Lehtonen, M. (2019). Enhancing resilience level of power distribution systems using proactive operational actions. IEEE Access, 7, 137378–137389. https://doi.org/10.1109/ACCESS.2019.2941593
v Mohan, G. N., Member, S., Bhende, C. N., Srivastava, A. K., & Member, S. (2022). Intelligent Control of Battery Storage for Resiliency Enhancement of Distribution System. IEEE SYSTEMS JOURNAL, 16(2). https://doi.org/10.1109/JSYST.2021.3083757
Wang, Y., Chen, C., Wang, J., & Baldick, R. (2016). Research on Resilience of Power Systems under Natural Disasters - A Review. In IEEE Transactions on Power Systems (Vol. 31, Issue 2, pp. 1604–1613). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/TPWRS.2015.2429656
Wang, Y., Rousis, A. O., & Strbac, G. (2020). On microgrids and resilience: A comprehensive review on modeling and operational strategies. Renewable and Sustainable Energy Reviews, 134. https://doi.org/10.1016/J.RSER.2020.110313
Yan, M., Ai, X., Shahidehpour, M., Li, Z., Wen, J., Bahramira, S., & Paaso, A. (2019). Enhancing the Transmission Grid Resilience in Ice Storms by Optimal Coordination of Power System Schedule with Pre-Positioning and Routing of Mobile DC De-Icing Devices. IEEE Transactions on Power Systems, 34(4), 2663–2674. https://doi.org/10.1109/TPWRS.2019.2899496
Yang, Y., Tang, W., Liu, Y., Xin, Y., & Wu, Q. (2018). Quantitative Resilience Assessment for Power Transmission Systems under Typhoon Weather. IEEE Access, 6, 40747–40756. https://doi.org/10.1109/ACCESS.2018.2858860
Zhao, N., Yu, X., Hou, K., Liu, X., Mu, Y., Jia, H., Wang, H., & Wang, H. (2021). Full-time scale resilience enhancement framework for power transmission system under ice disasters. International Journal of Electrical Power and Energy Systems, 126. https://doi.org/10.1016/j.ijepes.2020.106609
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