Guaranteeing Service in Connected Microgrids: Storage Planning and Optimal Power Sharing Policy (2403.08114v3)
Abstract: The integration of renewable energy sources (RES) into power distribution grids poses challenges to system reliability due to the inherent uncertainty in their power production. To address this issue, battery energy sources (BESs) are being increasingly used as a promising solution to counter the uncertainty associated with RES power production. During the overall system planning stage, the optimal capacity of the BES has to be decided. In the operational phase, policies on when to charge the BESs and when to use them to support loads must be determined so that the BES remains within its operating range, avoiding depletion of charge on one hand and remaining within acceptable margins of maximum charge on the other. In this paper, a stochastic control framework is used to determine battery capacity, for microgrids, which ensures that during the operational phase, BESs' operating range is respected with pre-specified high probability. We provide an explicit analytical expression of the required BESs energy capacity for a single microgrid with RES as the main power source. Leveraging insights from the single microgrid case, the article focuses on the design and planning of BESs for the two-microgrid scenario. In this setting, microgrids are allowed to share power while respecting the capacity constraints imposed by the power lines. We characterize the optimal power transfer policy between the microgrids and the optimal BES capacity for multiple microgrids. This provides the BES savings arising from connecting the microgrids.
- IRENA, “Global energy transformation: A roadmap to 2050,” 2019, [Accessed 31 August 2020]. [Online]. Available: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Apr/IRENA_Global_Energy_Transformation_2019.pdf
- M. Hannan, M. Faisal, P. J. Ker, R. Begum, Z. Dong, and C. Zhang, “Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications,” Renewable and Sustainable Energy Reviews, vol. 131, p. 110022, 2020.
- M. Zolfaghari, N. Ghaffarzadeh, and A. J. Ardakani, “Optimal sizing of battery energy storage systems in off-grid micro grids using convex optimization,” Journal of Energy Storage, vol. 23, pp. 44–56, 2019.
- H. Khorramdel, J. Aghaei, B. Khorramdel, and P. Siano, “Optimal battery sizing in microgrids using probabilistic unit commitment,” IEEE Transactions on Industrial Informatics, vol. 12, no. 2, pp. 834–843, 2015.
- Y. Li, Z. Yang, G. Li, D. Zhao, and W. Tian, “Optimal scheduling of an isolated microgrid with battery storage considering load and renewable generation uncertainties,” IEEE Transactions on Industrial Electronics, vol. 66, no. 2, pp. 1565–1575, 2018.
- S. X. Chen, H. B. Gooi, and M. Wang, “Sizing of energy storage for microgrids,” IEEE transactions on smart grid, vol. 3, no. 1, pp. 142–151, 2011.
- F. Hafiz, A. R. de Queiroz, P. Fajri, and I. Husain, “Energy management and optimal storage sizing for a shared community: A multi-stage stochastic programming approach,” Applied energy, vol. 236, pp. 42–54, 2019.
- M. Ma, H. Huang, X. Song, F. Peña-Mora, Z. Zhang, and J. Chen, “Optimal sizing and operations of shared energy storage systems in distribution networks: A bi-level programming approach,” Applied Energy, vol. 307, p. 118170, 2022.
- R. Khezri, A. Mahmoudi, and M. H. Haque, “Impact of optimal sizing of wind turbine and battery energy storage for a grid-connected household with/without an electric vehicle,” IEEE Transactions on Industrial Informatics, vol. 18, no. 9, pp. 5838–5848, 2022.
- Y. Yang, S. Bremner, C. Menictas, and M. Kay, “Battery energy storage system size determination in renewable energy systems: A review,” Renewable and Sustainable Energy Reviews, vol. 91, pp. 109–125, 2018.
- R. Xie, W. Wei, M.-F. Ge, Q. Wu, and S. Mei, “Coordinate sizing of energy storage and transmission line for a remote renewable power plant,” IET Renewable Power Generation, vol. 16, no. 12, pp. 2508–2520, 2022.
- M. R. Aghamohammadi and H. Abdolahinia, “A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded microgrid,” International Journal of Electrical Power & Energy Systems, vol. 54, pp. 325–333, 2014.
- C. W. Tan, T. C. Green, and C. A. Hernandez-Aramburo, “A stochastic method for battery sizing with uninterruptible-power and demand shift capabilities in pv (photovoltaic) systems,” Energy, vol. 35, no. 12, pp. 5082–5092, 2010.
- Y. Yang, H. Li, A. Aichhorn, J. Zheng, and M. Greenleaf, “Sizing strategy of distributed battery storage system with high penetration of photovoltaic for voltage regulation and peak load shaving,” IEEE Transactions on smart grid, vol. 5, no. 2, pp. 982–991, 2013.
- M. Khasanov, S. Kamel, C. Rahmann, H. M. Hasanien, and A. Al-Durra, “Optimal distributed generation and battery energy storage units integration in distribution systems considering power generation uncertainty,” IET Generation, Transmission & Distribution, vol. 15, no. 24, pp. 3400–3422, 2021.
- M. Habibi, A. Oshnoei, V. Vahidinasab, and S. Oshnoei, “Allocation and sizing of energy storage system considering wind uncertainty: An approach based on stochastic scuc,” in 2018 Smart Grid Conference (SGC). IEEE, 2018, pp. 1–6.
- Y. Cao, D. Li, Y. Zhang, Q. Tang, A. Khodaei, H. Zhang, and Z. Han, “Optimal energy management for multi-microgrid under a transactive energy framework with distributionally robust optimization,” IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 599–612, 2021.
- X. Liu, M. Zhang, X. Xie, L. Zhao, and Q. Sun, “Consensus-based energy management of multi-microgrid: An improved soc-based power coordinated control method,” Applied Mathematics and Computation, vol. 425, p. 127086, 2022.
- Y. Wang, Y. Cui, Y. Li, and Y. Xu, “Collaborative optimization of multi-microgrids system with shared energy storage based on multi-agent stochastic game and reinforcement learning,” Energy, p. 128182, 2023.