Abstract
This paper aims at designing a novel decentralized energy management strategy to optimally split the power in a modular fuel cell system (FCS). The FCS is composed of two fuel cells (FCs) in a parallel structure and a battery pack. The proposed decentralized strategy consists of two layers. Initially, a local optimization problem is solved by means of auxiliary problem principle (APP) method at each time step for each of the fuel cell modules (FCMs). Subsequently, the obtained values are broadcasted to the near FCM neighbors. At each step, the APP utilizes the power values and Lagrange parameters of the previous step shared by the sub-problem neighbors to find the solution that is the reference power for each FC. Compared to the centralized form of the APP algorithm, besides the modularity point of view, the proposed strategy is able to converge to the optimal answer faster. The final results indicate that the performance of the proposed strategy is very close to the results achieved by dynamic programming (DP).
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