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英译汉:Photovoltaic (PV)-powered alkaline electrolyzer system (PVPAES) is an advanced technique to convert the off-grid and intermittent PV-based solar energy into storable and transportable electrolyzer-based hydrogen energy with zero carbon emissions. However, it is difficult to realize the coordinated control of the off-grid PV module and the alkaline electrolyzer, due to the multiple timescale dynamics. To address this challenge, the PVPAES is decomposed into the slow part and fast part based on the dynamic time scale. Exploiting the decomposed subsystems, the slow one is assumed to be managed well by the auxiliary controller. For the fast one, a centralized economic model predictive control (CEMPC) scheme is constituted. This CEMPC integrates the energy management system and local feedback control into a single optimal control framework. A mathematical model of the PVPAES is established, on the basis of which the CEMPC directly adopts the economic indices as the cost function to realize the flexible power point tracking, power supply-demand balance, and dynamic economic optimization. Moreover, the inherent strong nonlinearity of PVPAES results in the nonconvex mixed-integer nonlinear programming optimization problem in the CEMPC. The exhaustive search algorithm utilizing finite converter switching states is adopted to achieve the global economic optimum. The effectiveness of the proposed CEMPC controller is illustrated through simulations under varying irradiance conditions.

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  • 光伏驱动的碱性电解槽系统(PVPAES)是一种先进的技术,可以将离网和间歇性的基于光伏的太阳能转换为可储存和可运输的基于电解槽的氢能,实现零碳排放。然而,由于多时间尺度动态特性,实现离网光伏模块和碱性电解槽的协调控制是困难的。为了应对这一挑战,PVPAES根据动态时间尺度被分解为慢速部分和快速部分。利用分解后的子系统,慢速部分假设由辅助控制器管理良好。对于快速部分,构建了一个集中式经济模型预测控制(CEMPC)方案。这种CEMPC将能源管理系统和局部反馈控制集成到单一的最优控制框架中。在PVPAES的数学模型基础上,CEMPC直接采用经济指标作为代价函数,实现灵活的功率点跟踪、电力供需平衡和动态经济优化。此外,PVPAES固有的强非线性导致CEMPC中的非凸混合整数非线性规划优化问题。采用利用有限转换器开关状态的穷举搜索算法实现全局经济最优。通过在不同辐照条件下的仿真,验证了所提出的CEMPC控制器的有效性。
你觉得结果怎么样?
光伏制氢技术有哪些优势?
如何提高光伏发电系统的稳定性?
碱性电解槽在氢能生产中的作用是什么?
如何提高PVPAES系统的能源管理效率?
CEMPC方案在实际应用中有哪些优势?
PVPAES系统的非线性特性如何影响其性能?

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