Abstract
Supplying power to large, pulsed power loads in shipboard medium voltage direct current integrated power systems is challenging due to the limited dynamic power responsiveness of the gas turbine. The two main solutions to this problem are improving the gas turbine’s dynamic performance and using energy storage devices for transient power compensation. In this paper, these two approaches are combined to achieve optimal coordination between the gas turbine’s dynamic response and the system’s transient power sharing strategy, and a mechanical–electrical cooperative operation strategy and a hierarchical optimization method of the system are proposed. The hierarchical optimization model is designed with energy storage configuration and dynamic performance as the lower and upper objectives, and an efficient parallel neural network-based genetic algorithm is employed to solve this optimization. The proposed method is applied to determine the system optimal energy storage configuration and dynamic performance across multiple scenarios, including different propulsion conditions with various types of large, pulsed power loads. The results demonstrate that the proposed method effectively reduces energy storage requirements: fuel system optimization, IGV adjustment strategy, and bleeding strategy, respectively, lower the energy storage configuration optimization objective values by 10.6%, 20.1%, 2.4%, and 6.2%, 6.5%, 5.3%. The SVSDP scheme achieves reductions of 19.5%, 7.6%, and 49.6%, 39.7% compared to VRCD and PSO-FS. Furthermore, the method also enhances the system’s dynamic response: under the specified HESS configuration, fuel system optimization, IGV adjustment strategy, and bleeding strategy reduce the dynamic performance optimization objective values by 6.8%, 23.3%, 8.6%, and 9.2%, 21.5%, 6.8%. The SVSDP scheme results in reductions of 21.3%, 15.4%, and 66.2%, 26.0% compared to VRCD and PSO-FS.