Strategi Kendali Daya Baterai-Superkapasitor Berbasis Variable Time Constant dengan Pendekatan Gradien

Authors

  • Ariq Kusuma Wardana Politeknik Negeri Malang
  • Imron Ridzki Department of Electrical Engineering, Politeknik Negeri Malang
  • Arinalhaq Fatachul Aziiz Department of Electrical Engineering, Politeknik Negeri Malang
  • Ricto Yudi Wicaksono Department of Control Computer Engineering, Politeknik Negeri Madiun

DOI:

https://doi.org/10.33795/elposys.v13i2.9690

Keywords:

Variable Time Constant (VTC), Gradient Method, Hybrid Energy Storage System (HESS)

Abstract

Photovoltaic (PV) power generation is inherently intermittent, causing power fluctuations that can degrade DC-bus voltage stability and overall system performance. To address this issue, this study proposes an adaptive variable time constant (VTC) control strategy with a gradient-based approach for battery–supercapacitor power management in a stand-alone PV system. In the proposed method, the low-pass filter (LPF) frequency is adjusted adaptively according to the gradient of the total compensation current. A higher gradient increases the LPF frequency to improve transient response, while a lower gradient helps maintain stable operation and supports balanced power sharing between the battery and supercapacitor. The proposed strategy was evaluated in MATLAB/Simulink under two irradiation-change scenarios, namely undershoot (1000 to 750 W/m²) and overshoot (750 to 1000 W/m²), and compared with fixed time constant (FTC) methods. The results show that the proposed VTC strategy yields the lowest average DC-bus voltage deviation of 9.50%, compared with 9.66% for FTC minimum and 9.68% for FTC maximum. In addition, it maintains a low average supercapacitor state-of-charge deviation of 0.0150%, equal to FTC maximum and significantly lower than FTC minimum (0.1628%). These findings indicate that the proposed adaptive VTC strategy improves voltage regulation while maintaining effective battery-supercapacitor power sharing under dynamic PV operating conditions.

References

S. Shivashankar, S. Mekhilef, H. Mokhlis, and M. Karimi, “Mitigating methods of power fluctuation of photovoltaic (PV) sources – A review,” Renew. Sustain. Energy Rev., vol. 59, pp. 1170–1184, Jun. 2016, doi: 10.1016/j.rser.2016.01.059.

IESR, “Indonesia Solar Energy Outlook 2025,” Institute for Essential Services Reform, Jakarta, 2024.

S. Sahoo and P. Timmann, “Energy Storage Technologies for Modern Power Systems: A Detailed Analysis of Functionalities, Potentials, and Impacts,” IEEE Access, vol. 11, pp. 49689–49729, 2023, doi: 10.1109/ACCESS.2023.3274504.

K. Dissanayake and D. Kularatna-Abeywardana, “A review of supercapacitors: Materials, technology, challenges, and renewable energy applications,” J. Energy Storage, vol. 96, p. 112563, Aug. 2024, doi: 10.1016/j.est.2024.112563.

N. K. Aryani, A. B. Al Fahri, and A. K. Wardana, “Optimal Placement and Sizing of Hybrid-Source Multi DVR using Genetic Algorithm for Voltage Sag Mitigation,” in 2021 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP), Sep. 2021, pp. 85–90. doi: 10.1109/ICT-PEP53949.2021.9601070.

U. Manandhar, N. R. Tummuru, S. K. Kollimalla, A. Ukil, G. H. Beng, and K. Chaudhari, “Validation of Faster Joint Control Strategy for Battery- and Supercapacitor-Based Energy Storage System,” IEEE Trans. Ind. Electron., vol. 65, no. 4, pp. 3286–3295, Apr. 2018, doi: 10.1109/TIE.2017.2750622.

S. K. Kollimalla, M. K. Mishra, A. Ukil, and H. B. Gooi, “DC Grid Voltage Regulation Using New HESS Control Strategy,” IEEE Trans. Sustain. Energy, vol. 8, no. 2, pp. 772–781, Apr. 2017, doi: 10.1109/TSTE.2016.2619759.

A. K. Wardana, Soedibyo, and V. L. B. Putri, “Optimization Control Strategy of Battery-Supercapacitor to Mitigate PV Power Fluctuation using Dynamic Programming Algorithm,” in 2022 International Seminar on Intelligent Technology and Its Applications (ISITIA), Jul. 2022, pp. 428–433. doi: 10.1109/ISITIA56226.2022.9855298.

S. K. Kollimalla, A. Ukil, H. B. Gooi, U. Manandhar, and N. R. Tummuru, “Optimization of Charge/Discharge Rates of a Battery Using a Two-Stage Rate-Limit Control,” IEEE Trans. Sustain. Energy, vol. 8, no. 2, pp. 516–529, Apr. 2017, doi: 10.1109/TSTE.2016.2608968.

B. R. Ravada and N. R. Tummuru, “Control of a Supercapacitor-Battery-PV Based Stand-Alone DC-Microgrid,” IEEE Trans. Energy Convers., vol. 35, no. 3, pp. 1268–1277, Sep. 2020, doi: 10.1109/TEC.2020.2982425.

B. Wang, U. Manandhar, X. Zhang, H. B. Gooi, and A. Ukil, “Deadbeat Control for Hybrid Energy Storage Systems in DC Microgrids,” IEEE Trans. Sustain. Energy, vol. 10, no. 4, pp. 1867–1877, Oct. 2019, doi: 10.1109/TSTE.2018.2873801.

J. I. Shuvo, Md. Badoruzzaman, S. T. I. Anik, S. Ahmad, T. Ahmed, and M. Karimi, “Hybrid energy storage power management system harnessing battery-supercapacitor synergy for grid-isolated DC microgrid,” J. Energy Storage, vol. 119, p. 116170, May 2025, doi: 10.1016/j.est.2025.116170.

H.-A. Trinh, H. V. A. Truong, M. D. Pham, T. C. Do, H.-H. Lee, and K. K. Ahn, “Comprehensive Control Strategy and Verification for PEM Fuel Cell/Battery/Supercapacitor Hybrid Power Source,” Int. J. Precis. Eng. Manuf.-Green Technol., vol. 10, no. 2, pp. 421–436, Mar. 2023, doi: 10.1007/s40684-022-00498-w.

M. Hamzeh, A. Ghazanfari, Y. A. -R. I. Mohamed, and Y. Karimi, “Modeling and Design of an Oscillatory Current-Sharing Control Strategy in DC Microgrids,” IEEE Trans. Ind. Electron., vol. 62, no. 11, pp. 6647–6657, Nov. 2015, doi: 10.1109/TIE.2015.2435703.

S. Palaloi, R. Delfianti, A. K. Wardana, A. Prastawa, A. Soeprijanto, and C. Harsito, “Enhancing Control Strategy Hybrid Energy Storage System for Improve Transient Response Using an Adaptive Low-Pass Filter in DC Microgrid,” Int. Rev. Model. Simul., vol. 18, no. 1, pp. 64–74, 2025.

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Published

09-07-2026

How to Cite

Kusuma Wardana, A., Ridzki, I., Fatachul Aziiz, A., & Yudi Wicaksono, R. (2026). Strategi Kendali Daya Baterai-Superkapasitor Berbasis Variable Time Constant dengan Pendekatan Gradien. Elposys: Jurnal Sistem Kelistrikan, 13(2), 58–63. https://doi.org/10.33795/elposys.v13i2.9690