文章基本信息

标题：Multiple Model Predictive Hybrid Feedforward Control of Fuel Cell Power Generation System
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作者：Wu, Long ; Sun, Li ; Shen, Jiong 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2018
卷号：10
期号：2
页码：1-19
出版社：MDPI, Open Access Journal
摘要：Solid oxide fuel cell (SOFC) is widely considered as an alternative solution among the family of the sustainable distributed generation. Its load flexibility enables it adjusting the power output to meet the requirements from power grid balance. Although promising, its control is challenging when faced with load changes, during which the output voltage is required to be maintained as constant and fuel utilization rate kept within a safe range. Moreover, it makes the control even more intractable because of the multivariable coupling and strong nonlinearity within the wide-range operating conditions. To this end, this paper developed a multiple model predictive control strategy for reliable SOFC operation. The resistance load is regarded as a measurable disturbance, which is an input to the model predictive control as feedforward compensation. The coupling is accommodated by the receding horizon optimization. The nonlinearity is mitigated by the multiple linear models, the weighted sum of which serves as the final control execution. The merits of the proposed control structure are demonstrated by the simulation results.
关键词：solid oxide fuel cell; constant output voltage; multiple model predictive control