Probabilistic Resilience Enhancement of Active Distribution Networks Against Wildfires Using Hybrid Energy Storage Systems
Source abstract
Abstract
Wildfires pose significant threats to the resilience of distribution systems. Furthermore, the phenomenon of global warming is further intensifying their contribution to power outages. Thus, enhancing distribution system resilience against wildfires remains an area of active research. This work presents a probabilistic approach to evaluate the spatio-temporal probability of wildfire occurrence using historical Forest Fire Danger Index (FFDI) data, and its impact on distribution lines and distributed energy resources (DERs) in active distribution networks (ADNs). To enhance system resilience, the deployment of hybrid energy storage systems (HESSs) is assessed, and their effectiveness in mitigating wildfire-induced disruptions is quantified. Furthermore, the proposed probabilistic methodology is compared with two deterministic approaches to demonstrate its superior capability in assessing wildfire risk and resilience improvement. The approach is suitable for large-scale geographical applications, providing a practical framework for resilience assessment and HESS-based mitigation planning in ADNs.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Optimal Power Flow Distribution · Infrastructure Resilience and Vulnerability Analysis · Fire effects on ecosystems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centre for New Energy Transition Research (CfNETR), Federation University Australia, Mt Helen, VIC 3353, Australia
Department of Electrical Engineering, Rachna College of Engineering and Technology, Constituent College of University of Engineering and Technology Lahore, Gujranwala 52250, Pakistan
References (45)
Show source-provided references
1. Wildfire Impacts on Security of Electric Power Systems: A Survey of Risk Identification and Mitigation Approaches10.1109/ACCESS.2024.3498036 ↗
2. Wolfe, S. (2025, April 12). California Outages Exceed 425,000 as Wildfires Continue to Blaze. Available online: https://www.renewableenergyworld.com/power-grid/outage-management/california-outages-exceed-425000-as-wildfires-continue-to-blaze/.
3. Aslam, M.U., Miah, M.S., Amin, B.M.R., Shah, R., and Amjady, N. (2025). Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review. Energies, 18.10.20944/preprints202505.1988.v1 ↗
4. A critical review on definitions, indices, and uncertainty characterization in resiliency-oriented operation of power systems10.1002/2050-7038.12680 ↗
5. Wildfire and power grid nexus in a changing climate10.1038/s44287-025-00150-0 ↗
6. Reinforcement-Learning-Based Proactive Control for Enabling Power Grid Resilience to Wildfire10.1109/TII.2023.3263500 ↗
7. Multi-Period Power System Risk Minimization Under Wildfire Disruptions10.1109/TPWRS.2023.3339147 ↗
8. A Wildfire Progression Simulation and Risk-Rating Methodology for Power Grid Infrastructure10.1109/ACCESS.2024.3439724 ↗
9. Safe Deep Reinforcement Learning for Resilient Self-Proactive Distribution Grids Against Wildfires10.1109/TSG.2025.3602849 ↗
10. Parameterized Wildfire Fragility Functions for Overhead Power Line Conductors10.1109/TPWRS.2023.3298769 ↗
11. Resilient Expansion Planning of Electricity Grid Under Prolonged Wildfire Risk10.1109/TSG.2023.3241103 ↗
12. Resilient by design: Preventing wildfires and blackouts with microgrids10.1016/j.apenergy.2022.118793 ↗
13. Liu, Z., Zhou, K., Yao, Q., and Reszka, P. (2024). An interpretable machine learning model for predicting forest fire danger based on Bayesian optimization. Emerg. Manag. Sci. Technol., 4.10.48130/emst-0024-0026 ↗
14. Fire frequency analysis for different climatic stations in Victoria, Australia10.1007/s11069-018-3324-x ↗
15. On Developing a Historical Fire Weather Data-Set for Australia10.22499/2.6001.001 ↗
16. Resiliency-Oriented operation of distribution networks under unexpected wildfires using Multi-Horizon Information-Gap decision theory10.1016/j.apenergy.2022.120536 ↗
17. Towards Resilient Self-Proactive Distribution Grids Against Wildfires: A Dual Rolling Horizon-Based Framework10.1109/TPWRS.2024.3514827 ↗
18. Powering Through Wildfires: An Integrated Solution for Enhanced Safety and Resilience in Power Grids10.1109/TIA.2022.3160421 ↗
19. An Agile Mobilizing Framework for V2G-Enabled Electric Vehicles Under Wildfire Risk10.1109/TVT.2024.3508671 ↗
20. Atawi, I.E., Al-Shetwi, A.Q., Magableh, A.M., and Albalawi, O.H. (2023). Recent Advances in Hybrid Energy Storage System Integrated Renewable Power Generation: Configuration, Control, Applications, and Future Directions. Batteries, 9.10.3390/batteries9010029 ↗
21. Aslam, M.U., Shakhawat, N.S., Shah, R., Amjady, N., Miah, M.S., and Amin, B.M.R. (2024). Hybrid Energy Storage Modeling and Control for Power System Operation Studies: A Survey. Energies, 17.10.3390/en17235976 ↗
22. Cost Minimization of Battery-Supercapacitor Hybrid Energy Storage for Hourly Dispatching Wind-Solar Hybrid Power System10.1109/ACCESS.2020.3037149 ↗
23. Ali, A., Shaaban, M.F., and Sindi, H.F. (2022). Optimal Operational Planning of RES and HESS in Smart Grids Considering Demand Response and DSTATCOM Functionality of the Interfacing Inverters. Sustainability, 14.10.3390/su142013209 ↗
24. Australian Government (2025, March 17). Bureau of Meteorology. Climate Data Services, Available online: https://reg.bom.gov.au/climate/data-services/.
25. Prediction of fire danger index using a new machine learning based method to enhance power system resiliency against wildfires10.1049/gtd2.13320 ↗
26. DEECA, AEMO, and CSIRO (2025, November 30). Bushfire Risk Affecting Electricity Distribution: Approaches to Determine Feasibility of Stand-Alone Power Systems, Available online: https://www.climatechangeinaustralia.gov.au/media/ccia/2.2/cms_page_media/732/ESCI%20Case%20Study%205_Bushfire%20risk%20to%20distribution%20120721.pdf.
27. DEECA (2025, November 12). DataShare, Available online: https://datashare.maps.vic.gov.au/.
28. Dynamic thermal rating of transmission lines: A review10.1016/j.rser.2018.04.001 ↗
29. Optimal Distribution System Operation for Enhancing Resilience Against Wildfires10.1109/TPWRS.2017.2733224 ↗
30. An analytical model based on radiative heating for the determination of safety distances for wildland fires10.1016/j.firesaf.2011.07.007 ↗
31. (2023). IEEE Standard for Calculating the Current-Temperature Relationship of Bare Overhead Conductors (Standard No. IEEE Std 738-2023 (Revision of IEEE Std 738-2012)).
32. Efficiency analysis for a grid-connected battery energy storage system10.1016/j.matpr.2018.07.095 ↗
33. Zhou, Z., and Zhao, J. (2024). Security-constrained unit commitment model considering frequency and voltage stabilities with multiresource participation. Front. Energy Res., 12.10.3389/fenrg.2024.1437271 ↗
34. An operational scheduling framework for Electric Vehicle Battery Swapping Station under demand uncertainty10.1016/j.energy.2023.130219 ↗
35. Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme10.1038/s41598-025-02690-9 ↗
36. Bushfire Factsheet (2025, November 30). Energy Network Australia: Australia, 2020. Available online: https://www.energynetworks.com.au/resources/fact-sheets/bushfire-factsheet-2020.
37. Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm10.1049/iet-gtd.2013.0442 ↗
38. Powercor (2025, September 28). Network Data. Available online: https://www.powercor.com.au/network-planning-and-projects/network-data/.
39. (2025, September 28). Zone Substation Information. Available online: https://www.jemena.com.au/electricity/jemena-electricity-network/network-information/zone-substation-information/.
40. AusNet (2025, September 28). AusNet GridView. Available online: https://gridview.ausnetservices.com.au/#.
41. Chatuanramtharnghaka, B., Deb, S., and Singh, K.R. (2023, January 29–30). Short—Term Load Forecasting for IEEE 33 Bus Test System using SARIMAX. Proceedings of the 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Imphal, India.10.1109/ICIDeA59866.2023.10295066 ↗
42. Hermawan, S., Putranto, L.M., Ali, H.R., and Saputra, F. (2023, January 2–4). Determination of PV Hosting Capacity on the 20 kV Distribution Network considering Network Configuration. Proceedings of the 2023 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS), Badung, Bali, Indonesia.10.1109/ICSGTEIS60500.2023.10424248 ↗
43. Optimal allocation of a hybrid energy storage system considering its dynamic operation characteristics for wind power applications in active distribution networks10.1002/er.4164 ↗
44. Optimal placement of DG units for the enhancement of MG networks performance using coalition game theory10.1049/iet-gtd.2019.0070 ↗
45. (2025, September 28). Generalized Algebraic Modeling Systems (GAMS). Available online: https://www.gams.com/.