Abstract
The solid oxide fuel cell (SOFC) is a new energy technology that has the advantages of low emissions and high efficiency. However, oscillation and propagation often occur during the power generation of the system, which causes system performance degradation and reduced service life. To determine the root cause of multi-loop oscillation in an SOFC system, a data-driven diagnostic method is proposed in this paper. In our method, kernel principal component analysis (KPCA) and transfer entropy were applied to the system oscillation fault location. First, based on the KPCA method and the Oscillation Significance Index (OSI) of the system process variable, the process variables that were most affected by the oscillations were selected. Then, transfer entropy was used to quantitatively analyze the causal relationship between the oscillation variables and the oscillation propagation path, which determined the root cause of the oscillation. Finally, Granger causality (GC) analysis was used to verify the correctness of our method. The experimental results show that the proposed method can accurately and effectively locate the root cause of the SOFC system’s oscillation.
Highlights
The solid oxide fuel cell (SOFC) has the advantages of having low emissions and being noise-free and highly efficient in power generation
The 24 process variables are reduced to dimensional principal components, and the sum of their contribution rates reaches more than 95%
Based on the research of a 1 kW SOFC independent power generation system with steam reforming, a data-driven SOFC system root cause diagnosis method is proposed for the oscillation fault problem in the system
Summary
The solid oxide fuel cell (SOFC) has the advantages of having low emissions and being noise-free and highly efficient in power generation. These cells have broad application prospects and have attracted widespread attention at home and abroad [1,2]. Due to the instability of temperature, pressure, flow, and other factors in the actual power generation process, the corresponding electrochemical reaction is affected, thereby reducing the SOFC system’s performance [3]. In order to reduce the performance degradation caused by the SOFC system’s oscillation and extend the SOFC’s service life, it is important to diagnose the root cause of the SOFC system’s oscillation
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