Optimization
Hamed Maleki; Mohammad Sadegh Sepasian; Mohammad Reza Aghamohammadi; Mousa Marzband
Abstract
This study investigates the optimal design configuration of a hydrogen refueling station located in southern Iran, focusing on the integration of renewable energy sources and seawater desalination technology to achieve self-sufficiency. The station integrates various components, including photovoltaic ...
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This study investigates the optimal design configuration of a hydrogen refueling station located in southern Iran, focusing on the integration of renewable energy sources and seawater desalination technology to achieve self-sufficiency. The station integrates various components, including photovoltaic panels, fuel cells, desalination units, natural gas and power-to-hydrogen conversion systems, and storage facilities for water and hydrogen. The primary goals are to achieve an independent power supply from renewable sources and an autonomous water supply through seawater desalination. To determine the most cost-effective configuration, a Mixed Integer Linear Programming (MILP) model is developed, taking into account the water and power consumption of each component. The objective is to minimize the Net Present Cost (NPC) of investment, maintenance, and operation. The model is implemented and solved using the CBC solver within the PYOMO environment. The study's findings reveal that converting natural gas to hydrogen is more economically viable than power-to-hydrogen conversion, with the former accounting for more than 95% of the hydrogen produced. The power demand is effectively met by a combination of photovoltaic systems, fuel cells, and hydrogen storage. Moreover, the study highlights the benefits of integrating water and hydrogen storage systems, which optimizes the utilization of photovoltaic energy. Excess energy generated by the photovoltaic panels is utilized for seawater desalination and the production of green hydrogen
Industrial Electronics
Amir M. Mohamadi; Navid R. Abjadi; Gholam Reza Arab Markadeh
Abstract
The Siwakoti-H inverter (SHI) with a flying capacitor is a recent addition to the transformerless inverter family, suitable for grid-connected single-phase photovoltaic systems. It offers a promising alternative to traditional topologies without the need for transformers, due to its minimal power electronic ...
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The Siwakoti-H inverter (SHI) with a flying capacitor is a recent addition to the transformerless inverter family, suitable for grid-connected single-phase photovoltaic systems. It offers a promising alternative to traditional topologies without the need for transformers, due to its minimal power electronic components. However, one of the key challenges in managing flying capacitor (FC) inverters is ensuring that the voltage of the FC remains within the desired range. Materials and Methods: To tackle this issue, first, a novel nonlinear model of the SHI is obtained defining two control inputs and two control outputs, and then a nonlinear feedback linearization (FBL) control design is proposed for the SHI when connected to a single-phase grid. This article introduces a novel approach to the modeling and control of the SHI enabling simultaneous control of both the injected current to the grid and the flying capacitor voltage. The proposed modeling and the designed control method play a crucial role in maintaining the capacitor voltage within the specified range and in tracking a sinusoidal reference for the injected current into the single-phase network. A PWM implementation of the proposed control is also suggested which is useful in the practical setup. The obtained model can be extended for the SHI with other line filters and it can be used to design more sophisticated controllers for SHI. The simulation and practical results presented in this study demonstrate the effectiveness of the proposed modeling and control approach.
