Research On Optimal Scheduling And Trading Strategy Of Port Shore Ship Energy Coordination Based On Game Theory

In recent years,due to the increase of port shipping activities,port pollution has become increasingly serious,the carbon emissions from ships in port areas have a serious impact on the surrounding environment.With the proposal of the dual carbon policy,ports have gradually built shore power facilities,and continuously improved the stability and environmental protection of shore power.However,due to the increase in the number of ships docking at the port and the amount of electricity used on the shore,the existing research has failed to make a reasonable plan for the distributed energy generation of the port and the electricity utilization strategy of ships themselves.To resolve the above issues,a new mode of energy scheduling and energy trading is proposed in this paper.This paper mainly includes the following:First of all,according to Stackelberg game theory,we research the cooperative and optimal scheduling of port and ship energy.Set up the revenue model of port energy management center and the load model of ship users,and analyze the dispatching strategy of port energy and power consumption strategy of ship users.Combining the income model of the port energy management center with the cost model of the ship aggregator,the Stackelberg game model between the port and the ship is established.Based on the data supplied by the ship aggregators,the port energy management center should adjust the price of shore power,the quantity of charge and discharge of energy storage system and the quantity of electricity purchased from outside.Both of them are iterated on the basis of two-way information exchange until they reach game equilibrium.The simulation proved that this model not only achieves maximum benefit for ships and ports,but also reduces the amount of carbon emissions emitted by the ships and improves the environmental benefits.Then,on this basis,considering that the ship as an intelligent user can provide electric energy for the port and other ship users during the peak period of onshore power consumption.Considering the restriction that information can not be fully shared,a two-way auction bidding strategy based on Bayesian game is proposed to determine the optimal trading price.At the same time,the problem of energy exchange between ships and ports is modeled as the convex problem of maximizing social welfare to determine the optimum energy distribution policy.Simulation results demonstrate the validity of this approach.While maximizing the benefits of the ship and social welfare,the peak shaving and valley filling of the port load are realized,and port power generation during peak load are reduced.At the same time,the energy of ships can be used and distributed more effectively.