An Analytical Target Cascading Method-Based Hierarchical Distributed Trading Model for Port and Hybrid Power Ship

The widespread use of cold ironing (CI) in ports as well as the emergence of hybrid power ship (HPS) with multiple energy sources pose a challenge for their distributed management. To this end, this paper proposes a hierarchical distributed trading model for port and HPS to achieve their distributed optimisation. First, in the upper level, a model of the port is developed to maximise its benefits through the sale of CI. In the lower level, a HPS model with power generation equipment, energy storage equipment, energy conversion equipment and multi-energy loads is constructed. Then, an analytical target cascading method-based distributed optimisation algorithm is introduced to independently optimise the above port model and HPS model. Finally, the case study is conducted to verify the effectiveness of the proposed hierarchical distributed trading model.