A centralized EMPC scheme for PV-powered alkaline electrolyzer

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 c...

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Vydáno v:Renewable energy Ročník 229; s. 120688
Hlavní autoři: Zhu, Zheng, Chen, Sian, Kong, Xiaobing, Ma, Lele, Liu, Xiangjie, Lee, Kwang Y.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.08.2024
Témata:
algorithms
Alkaline electrolyzer
carbon
Centralized economic model predictive control (CEMPC)
econometric models
energy
hydrogen
Hydrogen gas generation
light intensity
management systems
mathematical models
Model predictive control (MPC)
solar collectors
solar energy
Solar photovoltaic power generation
system optimization
Model predictive control (MPC)
Solar photovoltaic power generation
Centralized economic model predictive control (CEMPC)
Hydrogen gas generation
Alkaline electrolyzer
ISSN:0960-1481, 1879-0682
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Shrnutí: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. •A CEMPC scheme is developed for a PV-powered alkaline electrolyzer system.•A converter-based mathematical model is constructed for the system.•An efficient algorithm is proposed to solve non-convex CEMPC optimization problem.•The CEMPC is validated by simulations under varying irradiance conditions.
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ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2024.120688