Citation

Zhang, Weihao and Yu, Dongsheng and Zhang, Zhichao and Yu, Samson S and Tan, Shing Chiang and Lim, Chee Peng (2026) Optimal Multi-timescale Model Predictive Control-based Power Allocation of Hybrid Energy Storage Systems via Reference Curve Tracking. IEEE Journal of Emerging and Selected Topics in Power Electronics. p. 1. ISSN 2168-6777

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Abstract

The intermittency of renewable energy has made stable power supply a focal and challenging research topic in today’s power system. However, most existing intelligenceenabled control protocols pose significant computational complexity, hindering their practical applications in multitimescale power control scenarios. This paper proposes an optimal power allocation method for hybrid energy storage systems (HESS) based on complementary power reference curves. The approach leverages batteries’ dynamic characteristics and output properties and algorithmic features to construct complementary power reference curves. Through real-time tracking of these reference curves, the method achieves coordinated and stable power output across multiple timescales. The improved model predictive control (MPC) is integrated into the control strategy to efficiently convert power tracking into current prediction. This approach enhances system dynamic response without needing excessive computational resources. Furthermore, the proposed method is integrated into a dynamic voltage restorer (DVR) for power quality control. Finally, the feasibility and effectiveness of the proposed approach is validated through hardware experiments.

Item Type:	Article
Uncontrolled Keywords:	Dynamic voltage restorer, hybrid energy storage system
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	05 Jun 2026 08:40
Last Modified:	05 Jun 2026 08:40
URII:	http://shdl.mmu.edu.my/id/eprint/16075

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