Optimization of PV-BESS System Capacity Considering Battery Degradation for Nighttime Peak Load Supply: A Case Study of Guluk-Guluk, Madura
Downloads
The integration of photovoltaic (PV) generation into power systems presents operational challenges due to the temporal mismatch between daytime solar production and nighttime peak demand. This issue is particularly critical in tropical systems with limited local generation flexibility, such as Guluk-Guluk, Madura, where a PV–battery energy storage system (PV-BESS) is planned to support nighttime peak load demand. This study aimed to determine the optimal PV-BESS capacity configuration under a PV-only charging scheme, in which the battery is charged solely by PV generation without grid support. A 25-year time-series simulation based on historical solar resource data was integrated with Particle Swarm Optimization (PSO) to minimize the Net Present Cost (NPC) while penalizing unmet energy demand. Battery degradation was modeled using calendar and cycle aging, and the impact of Power Conversion System (PCS) charging capacity was evaluated through sensitivity analysis and re-optimization. The baseline optimal configuration consisted of 75.36 MWp of PV capacity and 570.98 MWh of initial BESS capacity with a 50 MW PCS, achieving 83.85% reliability and an NPC of USD 269.18 million. The results indicated that battery aging was not the dominant factor limiting system reliability; instead, daily solar variability and PCS charging constraints had stronger impacts. Increasing PCS capacity from 50 MW to approximately 56 MW significantly improved reliability, while further increases yielded diminishing returns as the system transitioned from power-limited to energy-limited operation. These findings emphasize the importance of integrated PV, BESS, and PCS planning for renewable peaker applications in tropical power systems.
Assaad, R., & El-Adaway, I. H. (2021). Guidelines for responding to COVID-19 pandemic: Best practices, impacts, and future research directions. Journal of Management in Engineering, 37(3), 06021001.
Bolinger, M., Seel, J., Robson, D., & Warner, C. (2023). Utility-scale solar, 2023 edition: Empirical trends in deployment, technology, cost, performance, PPA pricing, and value in the United States. Lawrence Berkeley National Laboratory. https://emp.lbl.gov/utility-scale-solar
Denholm, P., Nunemaker, J., Gagnon, P., & Cole, W. (2021). The potential for battery energy storage to provide peaking capacity in the United States. National Renewable Energy Laboratory. https://doi.org/10.2172/1783999
Denis, D., Sinuraya, E. W., Nugroho, A., Darmanto, N. A., Winardi, B., & Soetrisno, Y. A. A. (2021). Calculation of transmission lines and electrical equipment of 150 kV Main Guluk-Guluk, Madura Island, East Java, Indonesia. International Journal of Advances in Scientific Research and Engineering, 7(6), 23–35. https://doi.org/10.31695/IJASRE.2021.34026
Devlin, A. (2023). The new steel map: Reconfiguring supply chains around renewable resources (Doctoral dissertation). University of Oxford.
Gani, R. A., Facta, M., & Denis, D. (2020). Studi transformator 150/22 kV Gardu Induk Guluk-Guluk Pulau Madura Provinsi Jawa Timur. Transient: Jurnal Ilmiah Teknik Elektro, 9(2), 234–243. https://doi.org/10.14710/transient.v9i2.234-243
Gao, F., Zhou, H., Liang, H., Weng, S., & Zhu, H. (2020). Structural deformation monitoring and numerical simulation of a supertall building during construction stage. Engineering Structures, 209, 110033. https://doi.org/10.1016/j.engstruct.2020.110033
Intergovernmental Panel on Climate Change. (2022). Climate change 2022: Mitigation of climate change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. https://doi.org/10.1017/9781009157926
International Energy Agency. (2023). World energy outlook 2023. IEA.
International Energy Agency. (2024). Batteries and secure energy transitions. IEA.
International Renewable Energy Agency. (2023). World energy transitions outlook 2023: 1.5°C pathway. IRENA.
Javed, M. S., Jurasz, J., Guezgouz, M., Canales, F. A., Ruggles, T. H., & Ma, T. (2023). Impact of multi-annual renewable energy variability on the optimal sizing of off-grid systems. Renewable and Sustainable Energy Reviews, 183, 113514. https://doi.org/10.1016/j.rser.2023.113514
Kotla, R. W., Yarlagadda, S. R., & Devi, T. S. (2026). Resilient adversarial–evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids. Global Energy Interconnection. Advance online publication.
Lund, H., Østergaard, P. A., Connolly, D., & Mathiesen, B. V. (2017). Smart energy and smart energy systems. Energy, 137, 556–565. https://doi.org/10.1016/j.energy.2017.05.123
Meszek, W., Rejment, M., & Dziadosz, A. (2019). Disturbance analysis and their impact on delays in construction process. IOP Conference Series: Materials Science and Engineering, 603(5), 052002. https://doi.org/10.1088/1757-899X/603/5/052002
Psarros, G. N., Dratsas, P. A., & Papathanassiou, S. A. (2024). A comprehensive review of electricity storage applications in island systems. Renewable and Sustainable Energy Reviews. Advance online publication. (Catatan: DOI yang benar untuk artikel jurnal ini sebaiknya menggunakan DOI jurnal Elsevier. DOI 10.48550/arXiv.2401.14712 adalah DOI preprint arXiv.)
PT PLN (Persero). (2025). Rencana Usaha Penyediaan Tenaga Listrik (RUPTL) PT PLN (Persero) Tahun 2025–2034. Kementerian Energi dan Sumber Daya Mineral Republik Indonesia.
Sarr, A., Kebe, C. M. F., Gueye, M., & Ndiaye, A. (2021). Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data. Energy Reports, 7, 753–766. https://doi.org/10.1016/j.egyr.2021.01.044
Schimpe, M., Naumann, M., Truong, C. N., Hesse, H. C., Santhanagopalan, S., Saxon, A., & Jossen, A. (2018). Energy efficiency evaluation of a stationary lithium-ion battery container storage system via electro-thermal modeling and detailed component analysis. Applied Energy, 210, 211–229. https://doi.org/10.1016/j.apenergy.2017.10.129
Wang, S., Li, Y., Li, J., Zhang, C., & Wang, J. (2023). Optimal sizing of photovoltaic-battery energy storage systems considering battery degradation and operational uncertainty. Journal of Energy Storage, 72, 108482. https://doi.org/10.1016/j.est.2023.108482
Xu, B. (2021). Battery degradation modeling and valuation for grid-scale battery energy storage systems. Stanford University. https://energy.stanford.edu/publications
Copyright (c) 2026 Herdian Raditya, Rachmawan Budiarto, Roni Irnawan

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

