4.7 Article

Dynamic Modeling, Simulation, and Testing of a Marine DC Hybrid Power System

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TTE.2020.3023896

关键词

Computational modeling; Power system stability; Hybrid power systems; Load modeling; Power system dynamics; Analytical models; Mathematical model; Marine hybrid power systems; modeling; onboard dc power systems; power and energy management; stability

资金

  1. Research Council of Norway [290455]
  2. Kongsberg Digital AS, Norway

向作者/读者索取更多资源

A typical dc hybrid power system model was developed using a bond graph modeling approach to simulate load-sharing strategies and system stability, with validation through experimental results. The system model demonstrated good computational efficiency for faster-than-real-time simulations.
The hybridization of power systems offers the low-emission and energy-efficient marine vessels. However, it increases the complexity of the power system. Design, analysis, control, and optimization of such a sophisticated system require reliable and efficient modeling tools to cover a wide range of applications. In this work, a typical dc hybrid power system model is developed using a bond graph modeling approach. Necessary component models of varying degrees of fidelity are developed and integrated to build a system model with reasonable accuracy. The developed system model, along with the rule-based energy management system, is used to simulate the entire system and to investigate the load-sharing strategies, as well as the system stability in various operating scenarios. Moreover, the simulation results are validated with experimental results conducted on a full-scale laboratory setup of the dc hybrid power system and with a ship load profile. The results show that the system model is capable of capturing the fundamental dynamics of the real system. The hybrid power system model is further used to analyze the bus voltage deviation from its nominal value. The computational efficiency presented by the system is fairly good as it can simulate faster than real-time. The developed system model can be used to build up a comprehensive simulation platform for different system analysis and control designs.

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