Research Article

Evaluation of grid performance under time-series DERs and storage penetration scenarios

Volume: 6 Number: 1 January 31, 2026
TR EN

Evaluation of grid performance under time-series DERs and storage penetration scenarios

Abstract

The electricity grid plays a pivotal role in facilitating the transition to a carbon-neutral economy. Concurrently, there has been a marked increase in the generation of renewable energy. Energy storage is imperative to ensure the balance between generation and consumption demand in weather- and time-dependent systems, such as photovoltaic and wind energy. This article presents the modeling, simulation, and performance study of a grid fed from a substation connected to DERs, and an assessment of its impact on the grid for steady state and 24-hour time-series conditions between generation and consumption. All models are derived probabilistically for time-series simulations and steady-state load flow analysis. According to the simulation results, DERs have a beneficial effect on voltage stability, provided the penetration level is appropriate. At the optimal penetration level, the short-circuit contribution of DERs is estimated to be between 1.5% and 2%. However, when the penetration level is increased, the contribution increases to 3.5%, resulting in a voltage profile of 1.04 pu. In instances of optimal penetration, 70% of the generated energy is consumed on site, thereby reducing line losses. The contribution to reactive power ranges from 5% to 7.5%. In the time-series analysis, with the inclusion of BESS, it has been demonstrated that 93% of the energy demand can be met by DERs at certain times of the day, and that it functions satisfactorily to provide energy to the load.

Keywords

References

  1. T.C. Çevre, Şehircilik ve İklim Değişikliği Bakanlığı (2023) İklim değişikliği azaltım stratejisi ve eylem planı 2024-2030.
  2. Ochoa LF, Padilha-Feltrin A, Harrison GP (2006) Evaluating distributed generation impacts with a multiobjective index. IEEE Transactions on Power Delivery 21(3):1452–1458. https://doi.org/10.1109/TPWRD.2005.860262
  3. Ritchie H, Roser M, Rosado P (2020) Renewable energy. Our World in Data. https://ourworldindata.org/renewable-energy. Accessed 16 Jan 2025
  4. Bakeer A, Chub A, Shen Y, Sangwongwanich A (2022) Reliability analysis of battery energy storage system for various stationary applications. J Energy Storage 50. https://doi.org/10.1016/j.est.2022.104217
  5. Lin R, Yu M, Zhang M, Teh YQ (2024) A numeric study of the impact of renewable’s penetration in the energy and capacity markets with the participation of energy storage. 2024 IEEE 8th Conference on Energy Internet and Energy System Integration, pp 2202–2205.
  6. Akmal M, Umeh O, Yusuf A, Onyenagubom A (2024) Impact of distributed generation and battery energy storage systems on an interconnected power system. 7th International Conference on Energy Conservation and Efficiency (ICECE), pp 1–6. https://doi.org/10.1109/ICECE61222.2024.10505288
  7. Aydın H, Özcan M (2023) Dağıtık üretim tesislerinin şebekeye entegrasyonu. Dissertation, Necmettin Erbakan Üniversitesi.
  8. Zou B, Peng J, Yin R, et al (2023) Energy management of the grid-connected residential photovoltaic-battery system using model predictive control coupled with dynamic programming. Energy Build 279. https://doi.org/10.1016/j.enbuild.2022.112712

Details

Primary Language

English

Subjects

Electrical Circuits and Systems, Electrical Energy Storage, Electrical Energy Transmission, Networks and Systems, Photovoltaic Power Systems

Journal Section

Research Article

Publication Date

January 31, 2026

Submission Date

May 21, 2025

Acceptance Date

September 3, 2025

Published in Issue

Year 2026 Volume: 6 Number: 1

APA
Aydın, H., & Özcan, M. (2026). Evaluation of grid performance under time-series DERs and storage penetration scenarios. Journal of Innovative Engineering and Natural Science, 6(1), 165-182. https://doi.org/10.61112/jiens.1703251
AMA
1.Aydın H, Özcan M. Evaluation of grid performance under time-series DERs and storage penetration scenarios. JIENS. 2026;6(1):165-182. doi:10.61112/jiens.1703251
Chicago
Aydın, Hatice, and Muciz Özcan. 2026. “Evaluation of Grid Performance under Time-Series DERs and Storage Penetration Scenarios”. Journal of Innovative Engineering and Natural Science 6 (1): 165-82. https://doi.org/10.61112/jiens.1703251.
EndNote
Aydın H, Özcan M (January 1, 2026) Evaluation of grid performance under time-series DERs and storage penetration scenarios. Journal of Innovative Engineering and Natural Science 6 1 165–182.
IEEE
[1]H. Aydın and M. Özcan, “Evaluation of grid performance under time-series DERs and storage penetration scenarios”, JIENS, vol. 6, no. 1, pp. 165–182, Jan. 2026, doi: 10.61112/jiens.1703251.
ISNAD
Aydın, Hatice - Özcan, Muciz. “Evaluation of Grid Performance under Time-Series DERs and Storage Penetration Scenarios”. Journal of Innovative Engineering and Natural Science 6/1 (January 1, 2026): 165-182. https://doi.org/10.61112/jiens.1703251.
JAMA
1.Aydın H, Özcan M. Evaluation of grid performance under time-series DERs and storage penetration scenarios. JIENS. 2026;6:165–182.
MLA
Aydın, Hatice, and Muciz Özcan. “Evaluation of Grid Performance under Time-Series DERs and Storage Penetration Scenarios”. Journal of Innovative Engineering and Natural Science, vol. 6, no. 1, Jan. 2026, pp. 165-82, doi:10.61112/jiens.1703251.
Vancouver
1.Hatice Aydın, Muciz Özcan. Evaluation of grid performance under time-series DERs and storage penetration scenarios. JIENS. 2026 Jan. 1;6(1):165-82. doi:10.61112/jiens.1703251

 

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