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Current-based MPC for operating-safety analysis of a reduced-order solid oxide fuel cell system

机译:基于电流的MPC,用于降低固体氧化物燃料电池系统的操作安全性分析

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摘要

One of the key issues for integrated solid oxide fuel cell (SOFC) systems, which is a high-temperature power-generation plant, is the cooperative control of safe operating during load tracking. As the operating safety, especially the fuel exhaustion rejection and thermal management, are the key challenging for long-time implementation during load following. To this end, these above problems are studied in this dissertation from the aspects of thermo-electrical modeling, operating-safety analysis and controller development. This paper mainly focus on the cooperative control of the issues such as temperature constrains, fuel exhaustion rejection and external load tracing. Based on the reduced order model, a current-based model predictive controller (MPC) is proposed, and the transient performance associated with simultaneous dynamic operating-safety performance and current rate are addressed. Simulation results show the competition of the control design by demonstrating the fast load following ability while maintaining the safe operation. Namely the control strategy of fast load following is on the premise of operating safety under normal working conditions. All these control analysis results in this work can provide an important reference on the solutions of thermo-electrical control for SOFC system.
机译:作为高温发电厂的集成固体氧化物燃料电池(SOFC)系统的关键问题之一是在负载跟踪期间安全操作的协同控制。作为操作安全性,特别是燃料耗尽和热管理,是在负载后的长期实施的关键挑战。为此,本文从热电建模,操作安全分析和控制器开发方面研究了上述问题。本文主要注重温度约束,燃料耗尽和外部负荷跟踪等问题的协同控制。基于阶数模型,提出了一种基于电流的模型预测控制器(MPC),并解决了与同时动态操作安全性能和电流率相关的瞬态性能。仿真结果通过在保持安全操作的同时证明能力的快速负载来显示控制设计的竞争。即快速负载的控制策略之后是在正常工作条件下的操作安全的前提。所有这些控制分析在该工作中都可以为SOFC系统的热电控制解决方案提供重要参考。

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