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A hybrid approach involving data driven forecasting and super twisting control action for low-carbon microgrids

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Listed:
  • Ali, Naghmash
  • Shen, Xinwei
  • Armghan, Hammad

Abstract

This research paper introduces a two-level dense residual neural network-based optimization framework designed to enhance the efficiency of energy management systems in microgrids. The framework addresses the shortcomings of conventional numerical optimization methods for solving the economic dispatch problem, which often prioritize accuracy over real-time performance and fail to maximize power generation from renewable energy sources. The proposed framework’s upper-level control not only solves the economic dispatch problem but also optimizes power output from renewable sources. At the local level, a super-twisting sliding mode control is employed to accurately track EMS-generated references and ensure precise DC bus regulation. The stability of the framework is validated using Lyapunov stability criteria. The framework is tested on a 600 V electric-hydrogen based islanded microgrid system with a 550 kW capacity. Real-time simulations are validated through hardware-in-the-loop experiments using the OPAL-RT OP5707XG.

Suggested Citation

  • Ali, Naghmash & Shen, Xinwei & Armghan, Hammad, 2025. "A hybrid approach involving data driven forecasting and super twisting control action for low-carbon microgrids," Applied Energy, Elsevier, vol. 398(C).
    • Handle: RePEc:eee:appene:v:398:y:2025:i:c:s0306261925011596
    DOI: 10.1016/j.apenergy.2025.126429
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    References listed on IDEAS

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    1. Zholtayev, Darkhan & Rubagotti, Matteo & Do, Ton Duc, 2022. "Adaptive super-twisting sliding mode control for maximum power point tracking of PMSG-based wind energy conversion systems," Renewable Energy, Elsevier, vol. 183(C), pages 877-889.
    2. Su, Jinshuo & Zhang, Hongcai & Liu, Hui & Liu, Dundun, 2025. "Lyapunov-based distributed secondary frequency and voltage control for distributed energy resources in islanded microgrids with expected dynamic performance improvement," Applied Energy, Elsevier, vol. 377(PC).
    3. Ke, Xue & Wang, Lei & Wang, Jun & Wang, Anyang & Wang, Ruilin & Liu, Peng & Li, Li & Han, Rong & Yin, Yiheng & Wang, Feng Ryan & Kuai, Chunguang & Guo, Yuzheng, 2025. "Battery intelligent temperature warning model with physically-informed attention residual networks," Applied Energy, Elsevier, vol. 388(C).
    4. Dong, Feng & Pan, Shangzhi & Gong, Jinwu & Cai, Yuanqi, 2023. "Maximum power point tracking control strategy based on frequency and amplitude control for the wave energy conversion system," Renewable Energy, Elsevier, vol. 215(C).
    5. Armghan, Hammad & Xu, Yinliang & Bai, Xiang & Ali, Naghmash & Chang, Xinyue & Xue, Yixun, 2024. "A tri-level control framework for carbon-aware multi-energy microgrid cluster considering shared hydrogen energy storage," Applied Energy, Elsevier, vol. 373(C).
    6. Qi, Ning & Huang, Kaidi & Fan, Zhiyuan & Xu, Bolun, 2025. "Long-term energy management for microgrid with hybrid hydrogen-battery energy storage: A prediction-free coordinated optimization framework," Applied Energy, Elsevier, vol. 377(PB).
    7. Wang, Zhimeng & Xuan, Ang & Shen, Xinwei & Du, Yunfei & Sun, Hongbin, 2023. "A robust planning model for offshore microgrid considering tidal power and desalination," Applied Energy, Elsevier, vol. 350(C).
    8. Zhang, Yuanshi & Qian, Wenyan & Ye, Yujian & Li, Yang & Tang, Yi & Long, Yu & Duan, Meimei, 2023. "A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with residential houses," Applied Energy, Elsevier, vol. 349(C).
    9. Zhou, Shijie & Cao, Sunliang, 2024. "Co-ordinations of ocean energy supported energy sharing between zero-emission cross-harbour buildings in the Greater Bay Area," Applied Energy, Elsevier, vol. 359(C).
    10. Rodriguez, Mauricio & Arcos–Aviles, Diego & Martinez, Wilmar, 2023. "Fuzzy logic-based energy management for isolated microgrid using meta-heuristic optimization algorithms," Applied Energy, Elsevier, vol. 335(C).
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