This study proposes an innovative hydrogen storage capacity optimization configuration method that considers multiple demand factors, addressing the issue that traditional methods for optimizing
To address this challenge, this study presents a novel state space model with linear variable parameters (LPV), which effectively balances accuracy in capturing the nonlinear dynamics
This paper, through a multilevel control framework for the energy management of a renewable and reversible solid oxide based microgrid, develops medium level controls accounting for
To preserve computational tractability, the photovoltaic (PV) array, electrolyzer, and fuel cell are modeled using simplified constant-efficiency assumptions that capture overall system
To address the challenges of multi-objective trade-offs and heterogeneous storage coordination, a novel deep-reinforcement-learning (DRL) algorithm, termed MOATD3, is developed
To address challenges such as internal power balance, voltage stability, and hydrogen storage tank capacity in photovoltaic-storage DC microgrid systems, this paper proposes a
To optimize the efficiency of green hydrogen production and make it more price-competitive, the author simulates a hydrogen production plant consisting of a photovoltaic plant, a
In this paper, a distributed economic model predictive control (DEMPC) scheme is developed for a PV/Hydrogen DC microgrid, which integrates the energy management, economic
The photovoltaic-hydrogen-storage (PHS) microgrid system cleverly integrates renewable clean energy and hydrogen storage, providing a sustainable solution that maximizes the solar energy
This paper presents a two-stage energy management strategy that enhances grid resilience and flexibility by integrating a hydrogen energy storage system (HESS) alongside battery storage.
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