The construction of green ports has become a global consensus currently, and the multi-energy integration of wind, photovoltaic, battery and hydrogen in ports has broad prospects, among which the capacity configuration optimization is an important part. In this paper, considering the economy, security and efficiency of the port multi-energy integration system, the system capacity configuration optimization model based on multi-objective and multi-constraint had been established. Taking Ningbo Zhoushan Port as an example, the multi-objective particle swarm optimization algorithm was used to solve the example. The results were compared with the optimization results of Homer software and the actual capacity configuration of multi-energy system integrating wind turbine/photovoltaic/battery/hydrogen in the Chuanshan Port Area. The results show that the proposed method can effectively reduce the cost of the system, ensure the safe and efficient operation of the system and scientifically and rationally configure the capacity of each component module of the multi-energy integration system, which is of great guiding significance for the green and low-carbon development of the port industry.
Capacity configuration optimization of port multi-energy system integrating wind turbine/photovoltaic/battery/hydrogen
2023-08-04
1427911 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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