Utilizing Adaptive Droop Control to Improve the Accuracy of Load Power Balancing in DC Nanogrid Batteries

Authors

  • Fourys Yudo Setiawan Paisey Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia | Department of Electrical Engineering, Universitas Papua, Indonesia
  • Adi Soeprijanto Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
  • Feby Agung Pamuji Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Volume: 15 | Issue: 4 | Pages: 24117-24124 | August 2025 | https://doi.org/10.48084/etasr.11190

Received: 28 March 2025 | Revised: 25 April 2025 | Accepted: 4 May 2025 | Online: 2 August 2025


Corresponding author: Adi Soeprijanto

Abstract

This paper proposes an independent and flexible control strategy for Battery Energy Units (BEUs) in autonomous DC Nano Grids (DCNGs) using a communication-based system. The proposed strategy employs a hierarchical control approach, where the primary control manages power balance among BEUs, while the secondary control mitigates DC bus voltage deviations caused by droop operation. This ensures optimal power distribution while considering line resistance variations, State of Charge (SoC), and virtual power levels. The method prioritizes BEUs with higher SoC to contribute more power to the load while reducing the burden on lower SoC units. Additionally, a voltage recovery technique is implemented to maintain DC grid voltage stability. Beyond technical improvements, these findings can contribute to more efficient energy management in decentralized renewable energy systems, supporting the scalability of sustainable nanogrid infrastructures in remote or off-grid communities. An additional advantage is that in the event of a failure in the control of BEU1, the control of the unaffected BEU remains operational, ensuring system continuity. A comprehensive simulation comparison between conventional and the proposed method was conducted in MATLAB/Simulink under varying load power conditions. The results demonstrate that the proposed control strategy significantly improves power balancing accuracy and voltage stability.

Keywords:

DC nanogrid, Battery Energy Unit (BEU), hierarchical control, adaptive droop control

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References

F. Y. S. Paisey, A. Soeprijanto, and F. A. Pamuji, "Improving Load Power Sharing Accuracy in Standalone Microgrid DC Networks Using Intelligent Adaptive Droop Control Based on Fuzzy Logic Control," in 2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET), Bandung, Indonesia, Aug. 2023, pp. 190–195. DOI: https://doi.org/10.1109/ICRAMET60171.2023.10366745

J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuna, and M. Castilla, "Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization," IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158–172, Jan. 2011. DOI: https://doi.org/10.1109/TIE.2010.2066534

M. Fotopoulou, D. Rakopoulos, D. Trigkas, F. Stergiopoulos, O. Blanas, and S. Voutetakis, "State of the Art of Low and Medium Voltage Direct Current (DC) Microgrids," Energies, vol. 14, no. 18, Jan. 2021, Art. no. 5595. DOI: https://doi.org/10.3390/en14185595

A. T. Elsayed, A. A. Mohamed, and O. A. Mohammed, "DC microgrids and distribution systems: An overview," Electric Power Systems Research, vol. 119, pp. 407–417, Feb. 2015. DOI: https://doi.org/10.1016/j.epsr.2014.10.017

F. Dastgeer, H. E. Gelani, H. M. Anees, Z. J. Paracha, and A. Kalam, "Analyses of efficiency/energy-savings of DC power distribution systems/microgrids: Past, present and future," International Journal of Electrical Power & Energy Systems, vol. 104, pp. 89–100, Jan. 2019. DOI: https://doi.org/10.1016/j.ijepes.2018.06.057

D. Kumar, F. Zare, and A. Ghosh, "DC Microgrid Technology: System Architectures, AC Grid Interfaces, Grounding Schemes, Power Quality, Communication Networks, Applications, and Standardizations Aspects," IEEE Access, vol. 5, pp. 12230–12256, 2017. DOI: https://doi.org/10.1109/ACCESS.2017.2705914

Y. I. Mesalam, S. Awdallh, H. Gaied, and A. Flah, "Interleaved Bidirectional DC-DC Converter for Renewable Energy Application based on a Multiple Storage System," Engineering, Technology & Applied Science Research, vol. 14, no. 2, pp. 13329–13334, Apr. 2024. DOI: https://doi.org/10.48084/etasr.6944

N. Mukherjee and D. Strickland, "Control of Second-Life Hybrid Battery Energy Storage System Based on Modular Boost-Multilevel Buck Converter," IEEE Transactions on Industrial Electronics, vol. 62, no. 2, pp. 1034–1046, Oct. 2015. DOI: https://doi.org/10.1109/TIE.2014.2341598

K. D. Hoang and H.-H. Lee, "Accurate Power Sharing With Balanced Battery State of Charge in Distributed DC Microgrid," IEEE Transactions on Industrial Electronics, vol. 66, no. 3, pp. 1883–1893, Mar. 2019. DOI: https://doi.org/10.1109/TIE.2018.2838107

Y. Li and Y. Han, "A Module-Integrated Distributed Battery Energy Storage and Management System," IEEE Transactions on Power Electronics, vol. 31, no. 12, pp. 8260–8270, Sep. 2016.

J. Xiao, P. Wang, L. Setyawan, and Q. Xu, "Multi-Level Energy Management System for Real-Time Scheduling of DC Microgrids With Multiple Slack Terminals," IEEE Transactions on Energy Conversion, vol. 31, no. 1, pp. 392–400, Mar. 2016. DOI: https://doi.org/10.1109/TEC.2015.2488639

J. Xiao, P. Wang, and L. Setyawan, "Hierarchical Control of Hybrid Energy Storage System in DC Microgrids," IEEE Transactions on Industrial Electronics, vol. 62, no. 8, pp. 4915–4924, Dec. 2015. DOI: https://doi.org/10.1109/TIE.2015.2400419

C. Li, E. A. A. Coelho, T. Dragicevic, J. M. Guerrero, and J. C. Vasquez, "Multiagent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids," IEEE Transactions on Industry Applications, vol. 53, no. 3, pp. 2369–2381, Feb. 2017. DOI: https://doi.org/10.1109/TIA.2016.2645888

N. L. Diaz, T. Dragičević, J. C. Vasquez, and J. M. Guerrero, "Intelligent Distributed Generation and Storage Units for DC Microgrids—A New Concept on Cooperative Control Without Communications Beyond Droop Control," IEEE Transactions on Smart Grid, vol. 5, no. 5, pp. 2476–2485, Sep. 2014. DOI: https://doi.org/10.1109/TSG.2014.2341740

T. R. Oliveira, W. W. A. Gonçalves Silva, and P. F. Donoso-Garcia, "Distributed Secondary Level Control for Energy Storage Management in DC Microgrids," IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 2597–2607, Aug. 2017. DOI: https://doi.org/10.1109/TSG.2016.2531503

X. Lu, K. Sun, J. M. Guerrero, J. C. Vasquez, and L. Huang, "Double-Quadrant State-of-Charge-Based Droop Control Method for Distributed Energy Storage Systems in Autonomous DC Microgrids," IEEE Transactions on Smart Grid, vol. 6, no. 1, pp. 147–157, Jan. 2015. DOI: https://doi.org/10.1109/TSG.2014.2352342

T. Dragičević, J. M. Guerrero, J. C. Vasquez, and D. Škrlec, "Supervisory Control of an Adaptive-Droop Regulated DC Microgrid With Battery Management Capability," IEEE Transactions on Power Electronics, vol. 29, no. 2, pp. 695–706, Oct. 2014. DOI: https://doi.org/10.1109/TPEL.2013.2257857

Q. Yang, L. Jiang, H. Zhao, and H. Zeng, "Autonomous Voltage Regulation and Current Sharing in Islanded Multi-Inverter DC Microgrid," IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6429–6437, Aug. 2018. DOI: https://doi.org/10.1109/TSG.2017.2712658

D. Sarkar and P. K. and Sadhu, "Critical Comprehensive Performance Analysis of Static BIPV Array Configurations to Reduce Mismatch Loss and Enhance Maximum Power Under Partial Shading," IETE Technical Review, vol. 40, no. 4, pp. 465–497, Jul. 2023. DOI: https://doi.org/10.1080/02564602.2022.2127944

S. Bhattacharya, P. K. Sadhu, and D. Sarkar, "Performance evaluation of building integrated photovoltaic system arrays (SP, TT, QT, and TCT) to improve maximum power with low mismatch loss under partial shading," Microsystem Technologies, vol. 30, no. 5, pp. 583–597, May 2024. DOI: https://doi.org/10.1007/s00542-023-05564-0

D. Sarkar and P. K. Sadhu, "Power Enhancement by Hybrid BIPV Arrays with Fewer Peaks and Reduced Mismatch Losses under Partial Shading," in 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, Jun. 2023, pp. 1–6. DOI: https://doi.org/10.1109/CONIT59222.2023.10205941

M. Effendy, M. Ashari, and H. Suryoatmojo, "PV Generation-Energy Storage Coordination with Adaptive Droop Control in Isolated DC Microgrid," International Journal of Innovative Computing, Information and Control, vol. 19, no. 3, pp. 655–669, 2023.

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How to Cite

[1]
F. Y. S. Paisey, A. Soeprijanto, and F. A. Pamuji, “Utilizing Adaptive Droop Control to Improve the Accuracy of Load Power Balancing in DC Nanogrid Batteries”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 4, pp. 24117–24124, Aug. 2025.

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