Α Techno-Economic Assessment of Wind Power Expansion with Battery Storage Under Wind Energy Uncertainty
Received: 18 May 2025 | Revised: 25 August 2025 | Accepted: 30 August 2025 | Online: 8 December 2025
Corresponding author: Truong Viet Anh
Abstract
The techno-economic performance of novel wind power investment projects is significantly influenced by the inherent uncertainty of the power production. Additionally, challenges associated with land clearance and compensation, which are required to develop transmission infrastructure to accommodate additional wind capacity in the national grid, are also present. This study investigates capacity expansion strategies for wind farms that do not require modifications to the existing infrastructure. It focuses on the optimization of intermediate Turbine Control System (TCS) operations and the integration of Battery Energy Storage Systems (BESS). The Harris Hawks Optimization (HHO) algorithm is employed to determine the optimal BESS size to enhance the overall system performance and maximize the investment returns. Specifically, BESS charge/discharge power limits are configured to ensure that the TCS output remains both controllable and stable, while also extending the operational lifespan of the BESS under highly variable wind conditions. The experimental results indicate that integrating BESS into wind farm expansion strategies not only enables more effective bidding in competitive electricity markets, but also ensures compliance with grid technical standards, in addition to superior economic performance compared to previously published methods.
Keywords:
wind power, uncertain, Bess, transformer, net present valueDownloads
References
International Renewable Energy Agency, Renewable Energy and Climate Pledges. Abu Dhabi, UAE: International Renewable Energy Agency, 2020.
International Energy Agency, Renewables 2024 Analysis and Forecast To 2030. Paris, France: Renewables 2024 Analysis and Forecast To 2030, 2024.
International Renewable Energy Agency, Future of Wind: Deployment, Investment, Technology, Grid Integration and Socio-Economic Aspects. Abu Dhabi, UAE: International Renewable Energy Agency, 2019.
G. M. Idroes, I. Hardi, Md. H. Rahman, M. Afjal, T. R. Noviandy, and R. Idroes, "The dynamic impact of non-renewable and renewable energy on carbon dioxide emissions and ecological footprint in Indonesia," Carbon Research, vol. 3, no. 1, Apr. 2024, Art. no. 35. DOI: https://doi.org/10.1007/s44246-024-00117-0
K. Kumar, P. Prabhakar, A. Verma, S. Saroha, and K. Singh, "Advancements in wind power forecasting: A comprehensive review of artificial intelligence-based approaches," Multimedia Tools and Applications, vol. 84, no. 10, pp. 8331–8360, Mar. 2025. DOI: https://doi.org/10.1007/s11042-024-18916-3
V. A. Truong, N. S. Dinh, T. L. Duong, N. T. Le, C. D. Truong, and L. T. Nguyen, "Hybrid LSTM-PSO optimization techniques for enhancing wind power bidding efficiency in electricity markets," Ain Shams Engineering Journal, vol. 16, no. 2, Feb. 2025, Art. no. 103285. DOI: https://doi.org/10.1016/j.asej.2025.103285
M. Gwabavu, R. C. Bansal, and R. M. Naidoo, "A review of onshore wind farm battery energy storage systems for techno-economic optimization," International Journal of Modelling and Simulation, vol. 0, pp. 1–20, Feb. 2024.
N. T. A. Nguyen and D. D. Le, "Day-ahead Coordinated Operation of a Wind-Storage System Considering Wind Forecast Uncertainty," Engineering, Technology & Applied Science Research, vol. 11, no. 3, pp. 7201–7206, June 2021. DOI: https://doi.org/10.48084/etasr.4176
V. A. Vaishampayan, T. Antony, and A. Yogarathnam, "Effective Capacity of a Battery Energy Storage System Captive to a Wind Farm," in Proceedings of IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), San Diego, CA, USA, 2025. DOI: https://doi.org/10.1109/GridEdge61154.2025.10887505
R. Sakipour and H. Abdi, "Optimizing Battery Energy Storage System Data in the Presence of Wind Power Plants: A Comparative Study on Evolutionary Algorithms," Sustainability, vol. 12, no. 24, Aug. 2020, Art. no. 10257. DOI: https://doi.org/10.3390/su122410257
M. Fantauzzi, D. Lauria, F. Mottola, and D. Proto, "Estimating Wind Farm Transformers Rating through Lifetime Characterization Based on Stochastic Modeling of Wind Power," Energies, vol. 14, no. 5, Sept. 2021, Art. no. 1498. DOI: https://doi.org/10.3390/en14051498
A. Molina Gómez, K. Morozovska, T. Laneryd, and P. Hilber, "Optimal sizing of the wind farm and wind farm transformer using MILP and dynamic transformer rating," International Journal of Electrical Power & Energy Systems, vol. 136, Nov. 2021, Art. no. 107645. DOI: https://doi.org/10.1016/j.ijepes.2021.107645
R. Ansaripour, H. Barati, and A. Ghasemi, "A chance-constrained optimization framework for transmission congestion management and frequency regulation in the presence of wind farms and energy storage systems," Electric Power Systems Research, vol. 213, Aug. 2022, Art. no. 108712, https://doi.org/10.1016/j.epsr.2022.108712. DOI: https://doi.org/10.1016/j.epsr.2022.108712
S. Alsubal, W. S. Alaloul, E. L. Shawn, M. S. Liew, P. Palaniappan, and M. A. Musarat, "Life Cycle Cost Assessment of Offshore Wind Farm: Kudat Malaysia Case," Sustainability, vol. 13, no. 14, July 2021, Art. no. 7943. DOI: https://doi.org/10.3390/su13147943
International Standards: Power transformers – Part 7: Loading guide for mineral-oil-immersed power transformers, IEC 60076-7, International Electrotechnical Commission, Geneva, Switzerland, 2018.
J. V. Seguro and T. W. Lambert, "Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis," Journal of Wind Engineering and Industrial Aerodynamics, vol. 85, no. 1, pp. 75–84, Feb. 2000. DOI: https://doi.org/10.1016/S0167-6105(99)00122-1
P. P. Biswas, P. N. Suganthan, and G. A. J. Amaratunga, "Optimal power flow solutions incorporating stochastic wind and solar power," Energy Conversion and Management, vol. 148, pp. 1194–1207, Apr. 2017. DOI: https://doi.org/10.1016/j.enconman.2017.06.071
T. L. Nguyen, N. S. Dinh, V. A. Truong, T. L. Duong, D. H. Du, and D. A. Tuan, "Enhancing Total Transfer Capability via Optimal Location of Energy Storage Systems Using a Hybrid Improved Min-Cut Algorithm and Genetic Algorithm," in Lecture Notes in Networks and Systems, Cham, Switzerland, 2023, vol. 602, pp. 512–524. DOI: https://doi.org/10.1007/978-3-031-22200-9_57
B. Dunn, H. Kamath, and J.-M. Tarascon, "Electrical Energy Storage for the Grid: A Battery of Choices," Science, vol. 334, no. 6058, pp. 928–935, Nov. 2011. DOI: https://doi.org/10.1126/science.1212741
K. Mongird et al., "Energy Storage Technology and Cost Characterization Report," Pacific Northwest National Laboratory, Richland, WA, USA, Technical Report 28866, July 2019.
V. Ramasamy et al., "U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks, With Minimum Sustainable Price Analysis: Q1 2023," National Renewable Energy Laboratory, Golden, CO, USA, Technical Report NREL/TP-7A40-87303, Nov. 2023. DOI: https://doi.org/10.2172/2005540
M. Spiller et al., "A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing," Energies, vol. 16, no. 18, Sep. 2023, Art. no. 6546. DOI: https://doi.org/10.3390/en16186546
M. Moncecchi, C. Brivio, S. Mandelli, and M. Merlo, "Battery Energy Storage Systems in Microgrids: Modeling and Design Criteria," Energies, vol. 13, no. 8, Apr. 2020, Art. no. 2006. DOI: https://doi.org/10.3390/en13082006
A. A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, and H. Chen, "Harris hawks optimization: Algorithm and applications," Future Generation Computer Systems, vol. 97, pp. 849–872, Aug. 2019. DOI: https://doi.org/10.1016/j.future.2019.02.028
R. W. Ferrero, S. M. Shahidehpour, and V. C. Ramesh, "Transaction analysis in deregulated power systems using game theory," IEEE Transactions on Power Systems, vol. 12, no. 3, pp. 1340–1347, Dec. 1997. DOI: https://doi.org/10.1109/59.630479
D. Cao et al., "Bidding strategy for trading wind energy and purchasing reserve of wind power producer – A DRL based approach," International Journal of Electrical Power & Energy Systems, vol. 117, Oct. 2019, Art. no. 105648. DOI: https://doi.org/10.1016/j.ijepes.2019.105648
A. Vitina et al., "IEA Wind Task 26: Wind Technology, Cost, and Performance Trends in Denmark, Germany, Ireland, Norway, the European Union, and the United States: 2007–2012," National Renewable Energy Laboratory, Technical Report NREL/TP-6A20-64332, June 2025.
T. V. Anh, N. T. Linh, and D. N. Sang, "Controlling Output Power to Enhance the Investment Efficiency of Wind Farms by Maximizing the Capacity of Transmission Transformers and Integrating Energy Storage Systems," Engineering, Technology & Applied Science Research, vol. 14, no. 4, pp. 15751–15756, Aug. 2024. DOI: https://doi.org/10.48084/etasr.7688
Downloads
How to Cite
License
Copyright (c) 2025 Bui Xuan Luc, Dinh Ngoc Sang, Truong Viet Anh

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
