The Coordinated Energy Management Improvement Microgrid with Hybrid Storage Using Fuzzy Logic

Sri Sukamta; Ulfah Mediaty Arief

doi:10.22219/kinetik.v11i4.2460

Issue

Vol. 11, No. 4, November 2026 (Article in Progress)

Issue Published : Sep 1, 2026

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

The Coordinated Energy Management Improvement Microgrid with Hybrid Storage Using Fuzzy Logic

https://doi.org/10.22219/kinetik.v11i4.2460

Sri Sukamta

Universitas Negeri Semarang

Ulfah Mediaty Arief

Universitas Negeri Semarang

Corresponding Author(s) : Sri Sukamta

adhikorintus@gmail.com

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 11, No. 4, November 2026 (Article in Progress)
Article Published : Oct 5, 2026

Abstract

The increasing need for electrical energy in residential is caused by the increasing number of houses in rural areas. Currently, the distribution of electrical energy has not reached rural areas, especially in remote areas. Microgrid is a solution in providing electrical energy services for housing. However, the problems of voltage stability, energy management efficiency, energy storage usage period, load fluctuations are the main challenges in the microgrid system. The purpose of this study is to improve the provision of electrical power with an energy management strategy in an energy storage system using fuzzy logic. The method used is to identify load demand, weather data and take a systematic approach by modeling the microgrid system. Furthermore, the proposed energy management system with a coordinated approach, which compares droop control and fuzzy logic controllers. To evaluate the proposed strategy, this study was simulated using MATLAB, based on weather data and load demand. The results of the study showed that the voltage drop and maximum voltage overshot were 2.8 V and 1.6 V respectively in 0.07 S and 0.04 S. Therefore, the proposed strategy shows that there is an increase in efficiency, stability, and reliability when compared to the previous method.

Keywords

Coordinated Energy Energy Management Hybrid Storage Load Demand Fuzzy Logic

Sri Sukamta, & Arief, U. M. (2026). The Coordinated Energy Management Improvement Microgrid with Hybrid Storage Using Fuzzy Logic . Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 11(4). https://doi.org/10.22219/kinetik.v11i4.2460

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References

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S. Gangatharan, M. Rengasamy, R. M. Elavarasan, N. Das, E. Hossain, and V. M. Sundaram, “A Novel Battery Supported Energy Management System for the Effective Handling of Feeble Power in Hybrid Microgrid Environment,” IEEE Access, vol. 8, pp. 217391–217415, 2020, doi: 10.1109/ACCESS.2020.3039403.
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Y. Akarne, A. Essadki, T. Nasser, and B. El Bhiri, “Experimental Analysis of Efficient Dual-Layer Energy Management and Power Control in an AC Microgrid System,” IEEE Access, vol. 12, no. February, pp. 30577–30592, 2024, doi: 10.1109/ACCESS.2024.3370681.
Z. Zhou et al., “SPECIAL SECTION ON THE INTERNET OF ENERGY: ARCHITECTURES, CYBER SECURITY, AND APPLICATIONS Game-Theoretical Energy Management for Energy Internet With Big Data-Based Renewable Power Forecasting,” IEEE Access, vol. 5, pp. 5731–5746, 2017.
B. Li, T. Chen, X. Wang, and G. B. Giannakis, “Real-time energy management in microgrids with reduced battery capacity requirements,” IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1928–1938, 2019, doi: 10.1109/TSG.2017.2783894.
J. S. Giraldo, J. A. Castrillon, J. C. Lopez, M. J. Rider, and C. A. Castro, “Microgrids Energy Management Using Robust Convex Programming,” IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 4520–4530, 2019, doi: 10.1109/TSG.2018.2863049.
X. Liu, T. Zhao, H. Deng, P. Wang, J. Liu, and F. Blaabjerg, “Microgrid Energy Management with Energy Storage Systems: A Review,” CSEE J. Power Energy Syst., vol. 9, no. 2, pp. 1–21, 2022, doi: 10.17775/CSEEJPES.2022.04290.
R. A. Rafael NuNez, J. Posada, C. Unsihuay-Vila, and O. Pinzon-Ardila, “Review of Smart Transformer-Based Meshed Hybrid Microgrids: Shaping, Topology and Energy Management Systems,” IEEE Access, vol. 11, no. August, pp. 130165–130185, 2023, doi: 10.1109/ACCESS.2023.3334651.
J. Wu, X. Xing, X. Liu, J. M. Guerrero, and Z. Chen, “Energy management strategy for grid-tied microgrids considering the energy storage efficiency,” IEEE Trans. Ind. Electron., vol. 65, no. 12, pp. 9539–9549, 2018, doi: 10.1109/TIE.2018.2818660.
P. Xie et al., “Optimization-Based Power and Energy Management System in Shipboard Microgrid: A Review,” IEEE Syst. J., vol. 16, no. 1, pp. 578–590, 2022, doi: 10.1109/JSYST.2020.3047673.
Y. Zheng, Y. Song, D. J. Hill, and Y. Zhang, “Multiagent System Based Microgrid Energy Management via Asynchronous Consensus ADMM,” IEEE Trans. Energy Convers., vol. 33, no. 2, pp. 886–888, 2018, doi: 10.1109/TEC.2018.2799482.
A. Kusmantoro, A. Priyadi, V. L. Budiharto Putri, and M. Hery Purnomo, “Coordinated Control of Battery Energy Storage System Based on Fuzzy Logic for Microgrid with Modified AC Coupling Configuration,” Int. J. Intell. Eng. Syst., vol. 14, no. 2, pp. 495–510, 2021, doi: 10.22266/ijies2021.0430.45.
A. Kusmantoro and I. Farikhah, “Power management on DC microgrid with new DC coupling based on fuzzy logic,” Indones. J. Electr. Eng. Comput. Sci., vol. 32, no. 2, pp. 620–631, 2023, doi: 10.11591/ijeecs.v32.i2.pp620-631.
A. Kusmantoro and I. Farikhah, “Solar power and multi-battery for new configuration DC microgrid using centralized control,” Arch. Electr. Eng., vol. 72, no. 4, pp. 931–950, 2023, doi: 10.24425/aee.2023.147419.
M. Vasak, A. Banjac, N. Hure, H. Novak, D. Marusic, and V. Lesic, “Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings,” IEEE Trans. Energy Convers., vol. 36, no. 4, pp. 2670–2682, 2021, doi: 10.1109/TEC.2021.3116153.

References

A. Kusmantoro and I. Farikhah, “Real-Time Microgrid Centralized Control For Consuming Water Pump,” E3S Web Conf., vol. 465, 2023, doi: 10.1051/e3sconf/202346502003.

G. Mohy-Ud-Din, D. H. Vu, K. M. Muttaqi, and D. Sutanto, “An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids under Uncertainty of Renewable Energy,” IEEE Trans. Ind. Appl., vol. 56, no. 2, pp. 1062–1073, 2020, doi: 10.1109/TIA.2020.2964635.

H. Çimen, N. Çetinkaya, J. C. Vasquez, and J. M. Guerrero, “A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning,” IEEE Trans. Smart Grid, vol. 12, no. 2, pp. 977–987, 2021, doi: 10.1109/TSG.2020.3027491.

J. Shen, C. Jiang, Y. Liu, and X. Wang, “A Microgrid Energy Management System and Risk Management under an Electricity Market Environment,” IEEE Access, vol. 4, pp. 2349–2356, 2016, doi: 10.1109/ACCESS.2016.2555926.

S. Gangatharan, M. Rengasamy, R. M. Elavarasan, N. Das, E. Hossain, and V. M. Sundaram, “A Novel Battery Supported Energy Management System for the Effective Handling of Feeble Power in Hybrid Microgrid Environment,” IEEE Access, vol. 8, pp. 217391–217415, 2020, doi: 10.1109/ACCESS.2020.3039403.

M. A. Izumida Martins, L. B. Rhode, and A. B. De De Almeida, “A Novel Battery Wear Model for Energy Management in Microgrids,” IEEE Access, vol. 10, pp. 30405–30413, 2022, doi: 10.1109/ACCESS.2022.3160239.

S. Ahmad, M. Shafiullah, C. B. Ahmed, and M. Alowaifeer, “A Review of Microgrid Energy Management and Control Strategies,” IEEE Access, vol. 11, no. March, pp. 21729–21757, 2023, doi: 10.1109/ACCESS.2023.3248511.

Y. Guan, B. Wei, J. M. Guerrero, J. C. Vasquez, and Y. Gui, “An overview of the operation architectures and energy management system for multiple microgrid clusters,” iEnergy, vol. 1, no. 3, pp. 306–314, 2022, doi: 10.23919/ien.2022.0035.

N. Wu, H. Wang, L. Yin, X. Yuan, and X. Leng, “Application Conditions of Bounded Rationality and a Microgrid Energy Management Control Strategy Combining Real-Time Power Price and Demand-Side Response,” IEEE Access, vol. 8, pp. 227327–227339, 2020, doi: 10.1109/ACCESS.2020.3045754.

M. Billah, M. Yousif, M. Numan, I. U. Salam, S. A. A. Kazmi, and T. A. H. Alghamdi, “Decentralized Smart Energy Management in Hybrid Microgrids: Evaluating Operational Modes, Resources Optimization, and Environmental Impacts,” IEEE Access, vol. 11, no. December, pp. 143530–143548, 2023, doi: 10.1109/ACCESS.2023.3343466.

G. K. Venayagamoorthy, R. K. Sharma, P. K. Gautam, and A. Ahmadi, “Dynamic Energy Management System for a Smart Microgrid,” IEEE Trans. Neural Networks Learn. Syst., vol. 27, no. 8, pp. 1643–1656, 2016, doi: 10.1109/TNNLS.2016.2514358.

M. Abdelsattar, M. A. Ismeil, M. M. Aly, and S. S. Abu-Elwfa, “Energy Management of Microgrid With Renewable Energy Sources: A Case Study in Hurghada Egypt,” IEEE Access, vol. 12, no. February, pp. 19500–19509, 2024, doi: 10.1109/ACCESS.2024.3356556.

K. Thirugnanam, M. S. El Moursi, V. Khadkikar, H. H. Zeineldin, and M. Al Hosani, “Energy Management of Grid Interconnected Multi-Microgrids Based on P2P Energy Exchange: A Data Driven Approach,” IEEE Trans. Power Syst., vol. 36, no. 2, pp. 1546–1562, 2021, doi: 10.1109/TPWRS.2020.3025113.

Z. Qu, Z. H. E. Shi, Y. Wang, A. Abu-siada, and S. Member, “Energy Management Strategy of AC / DC Hybrid Microgrid Based on Solid-State Transformer,” IEEE Access, vol. 10, pp. 20633–20642, 2022, doi: 10.1109/ACCESS.2022.3149522.

M. Sadiq et al., “Future Greener Seaports: A Review of New Infrastructure, Challenges, and Energy Efficiency Measures,” IEEE Access, vol. 9, pp. 75568–75587, 2021, doi: 10.1109/ACCESS.2021.3081430.

Y. Akarne, A. Essadki, T. Nasser, and B. El Bhiri, “Experimental Analysis of Efficient Dual-Layer Energy Management and Power Control in an AC Microgrid System,” IEEE Access, vol. 12, no. February, pp. 30577–30592, 2024, doi: 10.1109/ACCESS.2024.3370681.

Z. Zhou et al., “SPECIAL SECTION ON THE INTERNET OF ENERGY: ARCHITECTURES, CYBER SECURITY, AND APPLICATIONS Game-Theoretical Energy Management for Energy Internet With Big Data-Based Renewable Power Forecasting,” IEEE Access, vol. 5, pp. 5731–5746, 2017.

B. Li, T. Chen, X. Wang, and G. B. Giannakis, “Real-time energy management in microgrids with reduced battery capacity requirements,” IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1928–1938, 2019, doi: 10.1109/TSG.2017.2783894.

J. S. Giraldo, J. A. Castrillon, J. C. Lopez, M. J. Rider, and C. A. Castro, “Microgrids Energy Management Using Robust Convex Programming,” IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 4520–4530, 2019, doi: 10.1109/TSG.2018.2863049.

X. Liu, T. Zhao, H. Deng, P. Wang, J. Liu, and F. Blaabjerg, “Microgrid Energy Management with Energy Storage Systems: A Review,” CSEE J. Power Energy Syst., vol. 9, no. 2, pp. 1–21, 2022, doi: 10.17775/CSEEJPES.2022.04290.

R. A. Rafael NuNez, J. Posada, C. Unsihuay-Vila, and O. Pinzon-Ardila, “Review of Smart Transformer-Based Meshed Hybrid Microgrids: Shaping, Topology and Energy Management Systems,” IEEE Access, vol. 11, no. August, pp. 130165–130185, 2023, doi: 10.1109/ACCESS.2023.3334651.

J. Wu, X. Xing, X. Liu, J. M. Guerrero, and Z. Chen, “Energy management strategy for grid-tied microgrids considering the energy storage efficiency,” IEEE Trans. Ind. Electron., vol. 65, no. 12, pp. 9539–9549, 2018, doi: 10.1109/TIE.2018.2818660.

P. Xie et al., “Optimization-Based Power and Energy Management System in Shipboard Microgrid: A Review,” IEEE Syst. J., vol. 16, no. 1, pp. 578–590, 2022, doi: 10.1109/JSYST.2020.3047673.

Y. Zheng, Y. Song, D. J. Hill, and Y. Zhang, “Multiagent System Based Microgrid Energy Management via Asynchronous Consensus ADMM,” IEEE Trans. Energy Convers., vol. 33, no. 2, pp. 886–888, 2018, doi: 10.1109/TEC.2018.2799482.

A. Kusmantoro, A. Priyadi, V. L. Budiharto Putri, and M. Hery Purnomo, “Coordinated Control of Battery Energy Storage System Based on Fuzzy Logic for Microgrid with Modified AC Coupling Configuration,” Int. J. Intell. Eng. Syst., vol. 14, no. 2, pp. 495–510, 2021, doi: 10.22266/ijies2021.0430.45.

A. Kusmantoro and I. Farikhah, “Power management on DC microgrid with new DC coupling based on fuzzy logic,” Indones. J. Electr. Eng. Comput. Sci., vol. 32, no. 2, pp. 620–631, 2023, doi: 10.11591/ijeecs.v32.i2.pp620-631.

A. Kusmantoro and I. Farikhah, “Solar power and multi-battery for new configuration DC microgrid using centralized control,” Arch. Electr. Eng., vol. 72, no. 4, pp. 931–950, 2023, doi: 10.24425/aee.2023.147419.

M. Vasak, A. Banjac, N. Hure, H. Novak, D. Marusic, and V. Lesic, “Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings,” IEEE Trans. Energy Convers., vol. 36, no. 4, pp. 2670–2682, 2021, doi: 10.1109/TEC.2021.3116153.

Author biographies is not available.

Issue

Vol. 11, No. 4, November 2026 (Article in Progress)

The Coordinated Energy Management Improvement Microgrid with Hybrid Storage Using Fuzzy Logic

Corresponding Author(s) : Sri Sukamta

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