With the intelligent upgrading of automated ports and the electrification of port equipment, the continuous strengthening of the coupling degree of transportation-energy networks, the fluctuating operation demand and the uncertain energy structure present higher requirements for the cooperative operation management and energy efficiency improvement in the transportation-energy coupling network of automated ports. In this paper, considering the influence of uncertain factors such as port wind and solar production capacity, as well as market electricity prices, on port energy system, a rolling horizon cooperative scheduling method for the transportation-energy coupling network of automated container ports is proposed. Firstly, by analyzing the port container operation process and the topology of the port energy network, the transportation-energy coupling relationship and the potential for energy conservation and emission reduction are explored. A three-stage cooperative rolling scheduling architecture comprising day-ahead, intra-day and real-time scheduling is then constructed. Subsequently, the day-ahead integer programming model and the intraday multi-commodity flow model are established respectively to realize cooperative scheduling optimization for the multi-scale automated port transportation-energy coupling network. Finally, based on the fluctuation information of wind and solar energy, real-time scheduling adjustments are implemented. According to the port operation rules, two heuristic scheduling strategies are summarized: the energy compensation strategy and task delay strategy. These strategies enable real-time feedback and facilitate flexible adjustments of port energy consumption structure to accommodate dynamic energy fluctuations. Experimental results demonstrate that the method can enhance the energy efficiency and energy structure stability of the port system, effectively improving energy conservation and emission reduction efficiency in the port, and promoting green and intelligent port construction.
Rolling Horizon Cooperative Scheduling for the Transportation-Energy Coupling Network in Automated Container Ports
07.08.2024
1197933 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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