000007591 001__ 7591 000007591 005__ 20240531164501.0 000007591 02470 $$2doi$$a10.24868/issn.2515-818X.2018.021 000007591 035__ $$a2271164 000007591 037__ $$aGENERAL 000007591 245__ $$aEnergy Storage Design Considerations for an MVDC Power System 000007591 269__ $$a2018-10-02 000007591 336__ $$aConference Proceedings 000007591 520__ $$aAs part of the U.S. Navy’s continued commitment to protecting U.S. interests at home and abroad, the Navy is investing in the development of new technologies that broaden U.S. warship capabilities and maintain U.S. naval superiority. In particular, NAVSEA is supporting the development of power systems technologies that help the Navy realize an all-electric warship. It is recognized that a challenge to fielding an all-electric power system architecture includes minimizing the size of energy storage systems while maintaining the response times necessary to support potential pulsed loads. This work explores the trade-off between energy storage requirements (i.e. size and weight) and performance (i.e. bandwidth and storage) in the context of a power system architecture that meets the needs of the US Navy. To compare energy storage technologies and appropriately size them, it is necessary to specify size and weight requirements and thus consider the energy density of the technology in Wh/kg and specific power density in W/kg. The modelled time domain behaviour for different load types and control delays were used to determine technology and sizing requirements by comparing the total energy and maximum power used in the simulation to a Ragone plot. Simulation results based on operational vignettes were used to identify a range of specific power and energy densities that will meet system requirements. Potential energy storage sizing can be determined by approximating where a selected technology intersects with the energy and power requirements of the system.  Another major component necessary to determine energy storage technology is the frequency domain behaviour of the system. In this work, the energy storage control bandwidth is evaluated in simulation for different loading scenarios, and a trade-off between size/weight and response bandwidth is illustrated.  000007591 542__ $$fCC-BY-NC-ND-4.0 000007591 6531_ $$aEnergy Storage 000007591 6531_ $$aFrequency Response 000007591 6531_ $$aControl 000007591 6531_ $$aIntegration 000007591 6531_ $$aPulsed Loads 000007591 7001_ $$aRashkin, L J$$uSandia National Laboratories, Albuquerque, NM, USA 000007591 7001_ $$aNeely, J C$$uSandia National Laboratories, Albuquerque, NM, USA 000007591 7001_ $$aWilson, D G$$uSandia National Laboratories, Albuquerque, NM, USA 000007591 7001_ $$aGlover, S F$$uSandia National Laboratories, Albuquerque, NM, USA 000007591 7001_ $$aDoerry, N$$uNAVSEA, PMS 320, Washington, D.C., US 000007591 7001_ $$aMarkle, S$$uNAVSEA, PMS 320, Washington, D.C., US 000007591 7001_ $$aMcCoy, T J$$uMcCoy Consulting, Box Elder, ND, USA 000007591 773__ $$tConference Proceedings of INEC 000007591 773__ $$jINEC 2018 000007591 789__ $$whttps://zenodo.org/record/2271164$$2URL$$eIsIdenticalTo 000007591 85641 $$uhttps://imarest.org/inec$$yConference website 000007591 8564_ $$967c89d45-a088-4364-93ec-74669adffb4d$$s4989927$$uhttps://library.imarest.org/record/7591/files/INEC%202018%20Paper%20027%20Rashkin%20FINAL.pdf