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A mathematical model of SOFC power plant for dynamic simulation of multi-machine power systems

机译：用于多机动力系统动态仿真的SOFC电厂数学模型

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摘要

Modern power networks are complex multi-component dynamic system with many operational levels made up of a wide range of renewable energy resources. The low frequency oscillations may undergo and sustain to cause system separation if adequate damping is not provided. This research work presents the mathematical model of Solid Oxide Fuel Cells (SOFC) within transmission network in order to dynamic stability analysis and control. The main contribution is to propose the new linearized Heffron-Philips model of the system under consideration the SOFC power plant to studying of low frequency oscillations. The eigenvalue-based objective function is used to search optimal multi-machine power system stabilizer (PSS) with the Particle Swarm Optimization (PSO) technique under various operating conditions. The effectiveness of the proposed model is tested on three-machine power system integrated with the single SOFC power plant. The time-domain simulation results are promising and illustrate the effectiveness of the proposed stabilizers. It can be damp the low frequency oscillations in the best possible procedure and significantly improves the stability performance of the case study system. (C) 2018 Elsevier Ltd. All rights reserved.
机译：现代电力网络是复杂的多组件动态系统，具有由广泛的可再生能源组成的许多运行级别。如果未提供足够的阻尼，则低频振荡可能会经历并持续导致系统分离。这项研究工作提出了传输网络内的固体氧化物燃料电池（SOFC）的数学模型，以便进行动态稳定性分析和控制。主要的贡献是提出了考虑到SOFC电厂的系统的新型线性Heffron-Philips模型，以研究低频振荡。基于特征值的目标函数用于在各种工况下通过粒子群优化（PSO）技术搜索最优的多机电力系统稳定器（PSS）。该模型的有效性在与单个SOFC电厂集成的三机电力系统上进行了测试。时域仿真结果是有希望的，并说明了所提出的稳定器的有效性。它可以以最佳的方式抑制低频振荡，并显着提高案例研究系统的稳定性。 （C）2018 Elsevier Ltd.保留所有权利。

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