Rule‐based operation task‐aware energy management for ship power systems
Kyaw Hein, Yan Xu, Yuvarekha Senthilkumar, Gary Wilson, Amit Kumar Gupta
Abstract
This study proposes an operation task‐aware energy management strategy for ship power systems that consist of main engines, diesel–electric engines, and energy storage systems. The proposed strategy aims to meet the fuel consumption and task‐dependent objectives of the vessel by optimally dispatching the generation and storage units. Firstly, rule‐based decisions are made based on the operational task requirements and specifications by the classification societies. Then, in the optimisation stage, these decision variables are used as inputs to formulate and update the operational constraints and the objectives of the optimisation. The optimisation problem is formulated as a mixed‐integer linear programming model, and with the help of rule‐based decision variables, the problem can be efficiently solved by the exhaustive search algorithm. Four case studies with different operation task sequences and ship topologies are performed to demonstrate the effectiveness of the dispatching scheme. Furthermore, the results indicate the simplicity and practicality for the actual implementation, as well as flexibility and applicability of the proposed optimal energy dispatch for different types of vessels.