MPC-Based Coordinated Control Strategy for Wind–Photovoltaic–Hydrogen–Storage Coupled Systems
DOI:
https://doi.org/10.13052/spee1048-5236.4516Keywords:
Renewable energy, model predictive control, three-port converter, hydrogen systemAbstract
The heterogeneous characteristics of proton exchange membrane fuel cells (PEMFCs), alkaline electrolyzers (AEs), and batteries introduce significant challenges to the coordinated control of wind–photovoltaic (PV)–hydrogen–storage coupled systems. Furthermore, conventional state-based energy management strategies are incapable of dynamically and in real time optimizing the reference power of individual devices, thereby limiting both operational stability and utilization efficiency. To overcome these limitations, this study develops a model predictive control (MPC)-based coordinated control strategy for wind–PV–hydrogen–storage coupled systems, aiming to enhance the effective consumption of renewable energy. Within the proposed framework, reference power is dynamically and optimally allocated under system constraints, while power limits, weighting factors, and state–space equations can be flexibly formulated through a user-defined power management module implemented in MATLAB/Simulink. Simulation studies confirm the feasibility of the proposed strategy: the coordinated control not only accommodates the operating characteristics of AEs and PEMFCs, but also reduces redundant power conversion stages and switching devices. Moreover, the decoupling mechanism enables accurate determination of both the direction and magnitude of power flow, achieving superior tracking performance through the regulation of two free variables.
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