Structure and Capacity Configuration of Substation Microgrid with
The objective of this paper is to propose a photovoltaic hydrogen storage microgrid in substation. An operation strategy is proposed to ensure the reliability o
This paper establishes a model of a photovoltaic power generation hydrogen system and optimizes the capacity configuration.
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The objective of this paper is to propose a photovoltaic hydrogen storage microgrid in substation. An operation strategy is proposed to ensure the reliability o
The battery provides a stable power supply for the PV‐electrolysis system. Hence, this study proposes a robust model for configuring the capacity of a PV‐battery‐electrolysis hybrid
The capacity configuration optimization of photovoltaic (PV) hydrogen system with battery has been widely concerned, but many existing studies only take hydrogen as an energy storage
Therefore, it is necessary to add an energy storage system to the photovoltaic power hydrogen production system. This paper establishes a model of a photovoltaic power generation
Hence, this study proposes a robust model for configuring the
In the photovoltaic hydrogen production system, chemical energy battery packs and hydrogen storage tanks were integrated to construct a photovoltaic hydrogen production-storage-supply model. A
The first stage optimized the capacity configuration of key components—electrolyzers, hydrogen compressors, and hydrogen storage tanks, with the aim of minimizing investment costs.
This study evaluates the performance and feasibility of hybrid photovoltaic–hydrogen systems integrated with 4.2 MW PV installations, focusing on the interplay between electrolyzer
A hydrogen storage power generation system model is established, and the photovoltaic power generation and hydrogen fuel cell power generation is calculated.
A simplified mathematical model including an electrolyzer and a hydrogen tank is proposed to get the best capacity configuration. The levelized cost of hydrogen (LCOH) is chosen as an optimization
Hence, this study proposes a robust model for configuring the capacity of a PV-battery-electrolysis hybrid system by considering the dynamic efficiency characteristics and cost learning