Wind and photovoltaic (PV) coupled hydrogen production has gradually become one of the effective ways to cope with the intermittency and volatility of wind and PV power generation, promoting the utilization of their g...
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Wind and photovoltaic (PV) coupled hydrogen production has gradually become one of the effective ways to cope with the intermittency and volatility of wind and PV power generation, promoting the utilization of their generated power. However, the current wind-PV-hydrogen coupling system mainly focuses on electricity-to- hydrogen conversion, while hydrogen-to-electricity conversion, especially for bidirectional electricity- hydrogen-electricity closed-loop systems, urgently requires in-depth research. In addition, although previous studies have incorporated fuel cell equipment, research on its costs and future development potential remains insufficiently explored. Moreover, the reliability requirements of system hydrogen production are rarely taken into account in multi-objective optimization. In this regard, this study proposes a coupling system that integrates wind power, PV power, electrolyzer equipment, hydrogen storage equipment, and hydrogen fuel cell equipment. The system enables hydrogen production, storage, co-generation, and bidirectional conversion between electricity and hydrogen. Subsequently, a multi-objective capacity configuration optimization model for the coupling system is constructed, aiming to maximize economic benefits, and minimize carbon dioxide emissions and fluctuations in electrolytic power. Then as a case study in Northwest China, employing a Multi-Objective Grey Wolf Optimizer (mogwo) algorithm to solve the model and determine the optimal capacity configuration of the system. The results show that the system has a power abandonment rate of 1.33%, with an economic benefit of approximately 92,000 yuan, carbon dioxide emissions of about 19,000 kg, and electrolysis power fluctuations of around 2,800,000 kW2. In subsequent discussions and analysis, the study found that integrating hydrogen fuel cells into the coupled system effectively reduces reliance on external grids, which is of significant importance for achieving carbon reduction goals. F
The adoption of environmentally friendly electric vehicles (EVs) is increasing over the years due to the increased awareness of energy and environmental challenges. However, the current growth is slow because of lack ...
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The adoption of environmentally friendly electric vehicles (EVs) is increasing over the years due to the increased awareness of energy and environmental challenges. However, the current growth is slow because of lack of proper charging infrastructures. This study proposes a multi-objective synergistic planning model of an EV charging station considering the interaction between the distribution system and transportation networks as the fast charging of EVs affects the operation of both networks. The developed model minimises the power losses and voltage deviation of the distribution system and maximises the EV flow served by the fast charging station (FCS) simultaneously taking into account permissible waiting time and service radius of FCS. Multi-objective grey wolf optimiser (mogwo) algorithm is used to obtain the non-dominated solutions and fuzzy satisfaction-based decision-making method is employed to reach final planning scheme. The effectiveness of the proposed model is investigated on the IEEE 123-bus distribution system coupled with a 25-node transportation network. The influence of different objectives, service radius and waiting time on the planning of FCS is also explored. Results reveal that the developed method can provide rational siting and sizing of FCS and it is also found that proper service radius and waiting time provide more convenience to the customer.
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