An energy allocation strategy for hybrid ship DC power system based on genetic algorithm

References

• T. J. McCoy, “Trends in ship electric propulsion,” IEEE Power Engineer. Soc. Summer Meet., Vol. 1, no. 1, pp. 343–46, Jul. 2002.
   Google Scholar
• J. G. Ciezki, and R. W. Ashton, “Selection and stability issues associated with a navy shipboard DC zonal electric distribution system,” IEEE Trans. Power Delivery, Vol. 15, no. 2, pp. 665–9, May. 2002.
   Web of Science ®Google Scholar
• L. N. Domaschk, A. Ouroua, R. E. Hebner, et al., “Coordination of large pulsed loads on future electric ships,” IEEE Trans. Magnetics, Vol. 43, no. 1, pp. 450–5, Sept. 2007.
   Web of Science ®Google Scholar
• V. M. Sáiz, and A. P. López, “Future trends in electric propulsion systems for commercial vessels,” J. Marit. Res., Vol. 4, no. 2, pp. 81–100, Jun. 2007.
   Google Scholar
• D. Breucker, J. Driesen, and E. Peeters, “Possible applications of plug-in hybrid electric ships,” IEEE Electric Ship Technol. Symp., Vol. 1, no. 1, pp. 310–17, Apr. 2009.
   Google Scholar
• B. Zahedi, and L. E. Norum, “Modeling and simulation of all-electric ships with low-voltage DC hybrid power systems,” IEEE Trans. Power Electron., Vol. 28, no. 10, pp. 4525–37, Jun. 2013.
   Web of Science ®Google Scholar
• B. Zahedi, L. E. Norum, and K. B. Ludvigsen, “Optimized efficiency of all-electric ships by dc hybrid power systems,” J. Power Sources, Vol. 255, pp. 341–54, May. 2014.
   Web of Science ®Google Scholar
• B. Zahedi, and L. E. Norum, “Efficiency analysis of shipboard dc power systems,” in Conference of the IEEE Industrial Electronics Society, Vienna. Apr. 2014, pp. 689–94.
   Google Scholar
• W. Bin, Fang Zhuo, and Fei Long, “A management strategy for solar panel — battery — super capacitor hybrid energy system in solar car,” in Proceedings of the IEEE 8th International Conference on Power Electronics and ECCE Asia (ICPE & ECCE), Jeju. Jun. 2011, pp. 1682–7.
   Google Scholar
• N. Jinrui, W. Zhifu, and R. Qinglian, “Simulation and analysis of performance of a pure electric vehicle with a super-capacitor,” IEEE Veh. Power Propulsion Conf., Windsor. Sept. 2006, Vol. 1, no. 6, pp. 1–6.
   Google Scholar
• B. Zahedi, and L. E. Norum, “Voltage regulation and power sharing control in ship LVDC power distribution systems,” in Proceedings of the 15th European Conference on Power Electronics and Applications (EPE), Vol. 1, no. 8, Sept. 2013, pp. 2–6.
   Google Scholar
• O. C. Nebb, B. Zahedi, J. O. Lindtjorn, and L. Norum, “Increased fuel efficiency in ship LVDC power distribution systems,” IEEE Vehicle Power Propulsion Conf., Vol. 564, no. 568, pp. 9–12, Oct. 2012.
   Google Scholar
• L. Xu, and D. Chen, “Control and operation of a DC microgrid with generation and energy storage,” IEEE Trans. Power Delivery, Vol. 26, no. 4, pp. 2513–22, Oct. 2011.
   Web of Science ®Google Scholar
• L. Che, and M. Shahidehpour, “DC microgrids: Economic operation and enhancement of resilience by hierarchical control,” IEEE Trans. Smart Grid, Vol. 5, no. 5, pp. 2517–26, Sept. 2014.
   Web of Science ®Google Scholar
• L. Wei, and G. Joos, “A power electronic interface for a battery super capacitor hybrid energy storage system for wind applications,” IEEE Power Electron. Special. Conf., Vol. 1762, no. 1768, pp. 15–19, Jun. 2008.
   Google Scholar
• T. A. Smith, J. P. Mars, and G. A. Turner, “Using super capacitors to improve battery performance,” in Proceedings of the IEEE 33rd Annual Power Electronics Specialists Conference, Cairns, Queensland. Jun. 2002, Vol. 1, pp. 124–8.
   Google Scholar
• G. Pengfei, Xuezhi Wang, and Yingshi Han, “The enhanced genetic algorithms for the optimization design,” in Proceedings of the 3rd International Conference on Biomedical Engineering and Informatics (BMEI), Yantai. Oct. 2010, Vol. 7, pp. 2990–4.
   Google Scholar
• J. Weijin, Dingti Luo, Yusheng Xu, and Xingming Sun, “Hybrid genetic algorithm research and its application in problem optimization,” Intell. Control Autom., Vol. 3, pp. 2122–6, Jun. 2004.
   Google Scholar
• M. Xiangzhong and B. Song. “Fast genetic algorithms used for PID parameter optimization,” in Automation and Logistics, 2007 IEEE International Conference, Jinan. Aug. 2007. Vol. 1, no. 1, pp. 2144–8.
   Google Scholar