Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Strategic Deployment of Energy Storage Systems in Microgrids for Enhancing the Resilience of Distribution Systems

Document Type : Original Research

Authors
Mehrdad Pourali Sharami 1
Abdolmajid Dejamkhooy 2
Majid Hosseinpour 2
1 Department of Electrical and Computer Engineering , Faculty of Engineering , University of Mohaghegh Ardabili, Ardabil, Iran.
2 Department of Electrical and Computer Engineering , University of Mohaghegh Ardabili, Ardabil, Iran
10.30511/pcdp.2025.2075347.1053
Abstract
In recent years, environmental concerns and the depletion of fossil fuels have drawn significant attention to renewable energy resources, particularly wind turbines and solar energy, among power system operators and designers. However, the installation and commissioning costs of solar, wind, and other renewable-based generation systems are, on average, higher than those of conventional fossil-fuel power plants. Moreover, the expansion of grid infrastructure and the deployment of energy storage systems impose additional expenses. Another major challenge arises from integrating renewable energy sources into existing distribution networks. This process often requires infrastructure upgrades, modifications to load management systems, and the establishment of communication with smart devices within the grid. Consequently, electrical energy storage systems (EESS) are increasingly employed as complementary resources. In the presence of grid-connected storage units, energy exchange between the power grid and storage systems can be managed in a way that significantly enhances the resilience of the grid against unpredictable events. the problem of optimal placement and sizing of electrical energy storage systems in smart power networks involves numerous technical and economic challenges, while also contributing to enhanced grid resilience. Accordingly, the objective function of this study is formulated to account for both the design and operational costs of storage systems, while explicitly considering resilience indices as a key performance measure.
Keywords
Energy Storage Systems
Resilience
Flexible Distribution Networks
Renewable Energy Sources
Subjects
[1]   Wang Y, Rousis AO, Strbac G. On microgrids and resilience: A comprehensive review on modeling and operational strategies. Renewable and Sustainable Energy Reviews. 2020 Dec 1;134:110313. https://doi.org/10.1016/j.rser.2020.110313 
[2]           Saravi VS, Kalantar M, Anvari-Moghaddam A. A cooperative resilience-oriented planning framework for integrated distribution energy systems and multi-carrier energy microgrids considering energy trading. Sustainable Cities and Society. 2024 Jan 1;100:105039.                           https://doi.org/10.1016/j.scs.2023.105039
[3]           Xie H, Teng X, Xu Y, Wang Y. Optimal energy storage sizing for networked microgrids considering reliability and resilience. IEEE Access. 2019 Jun 14;7:86336-48.  https://doi.org/10.1109/ACCESS.2019.2922994
[4]           Wang, Y., A. Oulis Rousis, G. Strbac. "Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids." Applied Energy 305 (2022): 117921.                                https://doi.org/10.1016/j.apenergy.2021.117921
[5]           Wang Y, Rousis AO, Strbac G. A resilience enhancement strategy for networked microgrids incorporating electricity and transport and utilizing a stochastic hierarchical control approach. Sustainable Energy, Grids and Networks. 2021 Jun 1;26:100464.
https://doi.org/10.1016/j.segan.2021.100464
[6]           Laaksonen H, Khajeh H, Parthasarathy C, Shafie-khah M, Hatziargyriou N. Towards flexible distribution systems: Future adaptive management schemes. Applied Sciences. 2021 Apr 20;11(8):3709.
https://doi.org/10.3390/app11083709
[7]           Venkateswaran, V. Balaji, Devender K. Saini, and Madhu Sharma. "Approaches for optimal planning of energy storage units in distribution network and their impacts on system resiliency." CSEE Journal of power and energy systems 6, no. 4 (2020): 816-833.                          https://doi.org/10.17775/CSEEJPES.2019.01280       
[8]           Chen, Lei, Yuqi Jiang, Shencong Zheng, Xinyi Deng, Hongkun Chen, and Md Rabiul Islam. "A two-layer optimal configuration approach of energy storage systems for resilience enhancement of active distribution networks." Applied Energy 350 (2023): 121720.                     https://doi.org/10.1016/j.apenergy.2023.121720  
[9]           Shafiei K, Zadeh SG, Hagh MT. Planning for a network system with renewable resources and battery energy storage, focused on enhancing resilience. Journal of Energy Storage. 2024 May 15;87:111339.                                https://ui.adsabs.harvard.edu/link_gateway/2024JEnSt..8711339S/doi:10.1016/j.est.2024.111339
[10]         Ali ZM, Calasan M, Aleem SH, Jurado F, Gandoman FH. Applications of energy storage systems in enhancing energy management and access in microgrids: A review. Energies. 2023 Aug 10;16(16):5930.  https://doi.org/10.3390/en16165930
[11]         Zhao, Yuxuan, Jin Lin, Yonghua Song, and Yin Xu. "A Robust Microgrid Formation Strategy for Resilience Enhancement of Hydrogen Penetrated Active Distribution Networks." IEEE Transactions on Power Systems (2023). https://doi.org/10.1109/TPWRS.2023.3305470
[12]         Gharehveran SS, Zadeh SG, Rostami N. Resilience-oriented planning and pre-positioning of vehicle-mounted energy storage facilities in community microgrids. Journal of Energy Storage. 2023 Nov 15;72:108263.                            https://ui.adsabs.harvard.edu/link_gateway/2023JEnSt..7208263G/doi:10.1016/j.est.2023.108263
[13]         Ahmadi SE, Marzband M, Ikpehai A, Abusorrah A. Optimal stochastic scheduling of plug-in electric vehicles as mobile energy storage systems for resilience enhancement of multi-agent multi-energy networked microgrids. Journal of Energy Storage. 2022 Nov 15;55:105566. https://doi.org/10.1016/B978-0-443-16086-8.00013-0
[14]         Nikoobakht A, Aghaei J. Resilience promotion of active distribution grids under high penetration of renewables using flexible controllers. Energy. 2022 Oct 15;257:124754.
https://doi.org/10.1016/j.energy.2022.124754
[15]         Shahbazbegian V, Shafie-khah M, Laaksonen H, Strbac G, Ameli H. Resilience-oriented operation of microgrids in the presence of power-to-hydrogen systems. Applied Energy. 2023 Oct 15;348:121429.                                https://doi.org/10.1016/j.apenergy.2023.121429
[16]         Wang Y, Rousis AO, Qiu D, Strbac G. A stochastic distributed control approach for load restoration of networked microgrids with mobile energy storage systems. International Journal of Electrical Power & Energy Systems. 2023 Jun 1;148:108999.  https://doi.org/10.1016/j.ijepes.2023.108999
[17]         Jokar MR, Shahmoradi S, Mohammed AH, Foong LK, Le BN, Pirouzi S. Stationary and mobile storages-based renewable off-grid system planning considering storage degradation cost based on information-gap decision theory optimization. Journal of Energy Storage. 2023 Feb 1;58:106389.  https://ui.adsabs.harvard.edu/link_gateway/2023JEnSt..5806389J/doi:10.1016/j.est.2022.106389
[18]         Qu Z, Xu C, Yang F, Ling F, Pirouzi S. Market clearing price-based energy management of grid-connected renewable energy hubs including flexible sources according to thermal, hydrogen, and compressed air storage systems. Journal of Energy Storage. 2023 Oct 1;69:107981.  https://doi.org/10.1016/j.est.2023.107981
[19]         Monemi Bidgoli M, Ghani R. Optimal Energy Management of Water-Energy Nexus in Multi-Carrier Systems Integrated with Renewable Sources. Power, Control, and Data Processing Systems. 2024 Dec 1;1(1).   https://doi.org/10.30511/pcdp.2024.718536
[20]         Masoudi MR, Haghighi M, Rahimipour Behbahani M. Optimal Operation of Solar Energy System integrated with Energy Storage Systems. Power, Control, and Data Processing Systems. 2024 Dec 1;1(1).                    https://doi.org/10.30511/pcdp.2024.718345                         
[21]         S. Mirjalili, S. M. Mirjalili, A. Lewis. "Grey wolf optimizer." Advances in engineering software, vol. 69, pp. 46-61, 2014.  https://doi.org/10.1016/j.advengsoft.2013.12.007
[22]         Zheng, Yu, Yue Song, Andy Huang, and David J. Hill. "Hierarchical Optimal Allocation of Battery Energy Storage Systems for Multiple Services in Distribution Systems." IEEE Transactions on Sustainable Energy 11, no. 3 (2019): 1911-1921.
 https://doi.org/10.1016/j.segan.2024.101394
Power, Control, and Data Processing Systems
Volume 3, Issue 2
Spring 2026

  • Receive Date 22 October 2025
  • Revise Date 11 December 2025
  • Accept Date 19 December 2025
  • First Publish Date 19 December 2025
  • Publish Date 01 June 2026