scholarly journals Optimal Configuration of the Integrated Charging Station for PV and Hydrogen Storage

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7087
Author(s):  
Min Wang ◽  
Xiaobin Dong ◽  
Youchun Zhai
Keyword(s):  
Energy Storage ◽  
Hydrogen Storage ◽  
Storage System ◽  
Fuzzy Comprehensive Evaluation ◽  
Optimal Configuration ◽  
Configuration Model ◽  
Hydrogen Energy ◽  
Nsga Ii ◽  
Pareto Solution ◽  
Charging Station

This paper designs the integrated charging station of PV and hydrogen storage based on the charging station. The energy storage system includes hydrogen energy storage for hydrogen production, and the charging station can provide services for electric vehicles and hydrogen vehicles at the same time. To improve the independent energy supply capacity of the hybrid charging station and reduce the cost, the components are reasonably configured. To minimize the configuration cost of the integrated charging station and the proportion of power purchase to the demand of the charging station, the energy flow strategy of the integrated charging station is designed, and the optimal configuration model of optical storage capacity is constructed. The NSGA-II algorithm optimizes the non-inferior Pareto solution set, and a fuzzy comprehensive evaluation evaluates the optimal configuration.

scholarly journals Optimal configuration of energy storage system in multi-station fusion mode

2021 ◽  
Vol 256 ◽  
pp. 02002
Author(s):  
Zhendong Du ◽  
Guosheng Jin ◽  
Yu Fang ◽  
Chenyin Yu ◽  
Yupeng Hu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Configuration ◽  
Configuration Model ◽  
Utilization Rate ◽  
Electric Vehicle Charging ◽  
Fusion Mode ◽  
Msf Model

Multi-station fusion mode (MSF) generally includes energy storage system, data center and electric vehicle charging station. It can improve the utilization rate of land and power distribution resources of urban substations. This paper studies configuration of ESS in the MSF model, aiming at reducing total cost. Firstly, an AC-DC system of MSF model is established. Then, aiming at economy, the optimal configuration model of ESS is established. Finally, the effectiveness of the model is verified by a practical example, and the MATLAB toolbox YALMIP with the CPLEX solver is used to conduct the ESS planning.

scholarly journals Combined Optimal Planning and Operation of a Fast EV-Charging Station Integrated with Solar PV and ESS

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3152
Author(s):  
Leon Fidele Nishimwe H. ◽  
Sung-Guk Yoon
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Configuration ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Charging Station ◽  
Optimization Framework ◽  
Power Scheduling ◽  
Planning And Operation

Sufficient and convenient fast-charging facilities are crucial for the effective integration of electric vehicles. To construct enough fast electric vehicle-charging stations, station owners need to earn a reasonable profit. This paper proposed an optimization framework for profit maximization, which determined the combined planning and operation of the charging station considering the vehicle arrival pattern, intermittent solar photovoltaic generation, and energy storage system management. In a planning horizon, the proposed optimization framework finds an optimal configuration of a grid-connected charging station. Besides, during the operation horizon, it determines an optimal power scheduling in the charging station. We formulated an optimization framework to maximize the expected profit of the station. Four types of costs were considered during the planning period: the investment cost, operational cost, maintenance cost, and penalties. The penalties arose from vehicle customers’ dissatisfaction associated with waiting time in queues and rejection by the station. The simulation results showed the optimal investment configuration and daily power scheduling in the charging station in various environments such as the downtown, highway, and public stations. Furthermore, it was shown that the optimal configuration was different according to the environments. In addition, the effectiveness of solar photovoltaic, energy storage system, and queue management was demonstrated in terms of the optimal solution through a sensitivity analysis.

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