Compatible matching and synergy operation optimization of hydrogen-electric hybrid energy storage system in DC microgrid
Artikel i vetenskaplig tidskrift, 2025

Hydrogen energy storage (HES) systems could balanced source-load mismatches in DC microgrids. By combining HES with electrical energy storage (EES), the start-up delay and rapid degradation of HES under fluctuating inputs can be mitigated, enhancing system adaptability. However, without proper power allocation and operational optimization, system efficiency and the lifespan of HES and EES decrease. Accordingly, this paper proposes a compatible matching and synergy operation optimization for hydrogen-electric hybrid energy storage systems (H-E HESS). Firstly, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is developed to decompose power fluctuation signals into frequency components, and the Hilbert transform calculates the energy value to determine high- and low-frequency dividing points. Next, a system power allocation strategy is formulated through the fast response of the EES to compensate for the delay in the start-up of the HES. A multi-objective optimization model is then developed to balance efficiency and lifespan, which is solved by the NSGA-III algorithm. Finally, case studies show that the proposed strategy improves efficiency by 17.95 % and 8.34 %, reduces degradation rates by 1 % and 0.71 %, and shortens system response time in 1 s, compared to Schemes I and II. The strategy's effectiveness is also validated through an experimental platform in a hydrogen-electric coupled DC microgrid demonstration project.

Power allocation

Hydrogen-electric hybrid energy storage

Synergy operation strategy

Synergy operation optimization

Frequency decomposition

Författare

Banghua Du

Wuhan University of Technology

Yanyu Peng

Wuhan University of Technology

Yang Li

Chalmers, Elektroteknik, System- och reglerteknik

Changjun Xie

Wuhan University of Technology

Shihao Zhu

Wuhan University of Technology

Wenchao Zhu

Wuhan University of Technology

Yang Yang

Wuhan University of Technology

Li You

State Grid Hubei Electric Power Research Institute

Leiqi Zhang

State Grid Zhejiang Electric Power Research Institute

Bo Zhao

State Grid Zhejiang Electric Power Research Institute

Energy Conversion and Management: X

25901745 (eISSN)

Vol. 26 101014

Ämneskategorier (SSIF 2025)

Energiteknik

Energisystem

DOI

10.1016/j.ecmx.2025.101014

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Senast uppdaterat

2025-04-29