Reconfiguration of MVDC shipboard power systems: A model predictive control approach

Nasibeh Zohrabi, Sherif Abdelwahed, Jian Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

In this paper, a reconfiguration method based on Model Predictive Control (MPC) is proposed for a nonlinear Medium-Voltage DC Shipboard Power System. By applying the proposed MPC approach, the reconfiguration is formulated as an optimization problem with respect to operating constraints and also the priorities of loads. The loads are categorized as vital loads, semi-vital loads, and non-vital loads by the appropriate weighting factors. The main goal is to maximize the power delivered to the loads with respect to power balance and generation limits. The simulation results of three cases with the use of a nonlinear MVDC SPS model are given to illustrate the effectiveness of the proposed method.

Original languageEnglish (US)
Title of host publication2017 IEEE Electric Ship Technologies Symposium, ESTS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-258
Number of pages6
ISBN (Electronic)9781509049448
DOIs
StatePublished - Oct 16 2017
Event2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 - Arlington, United States
Duration: Aug 14 2017Aug 17 2017

Publication series

Name2017 IEEE Electric Ship Technologies Symposium, ESTS 2017

Conference

Conference2017 IEEE Electric Ship Technologies Symposium, ESTS 2017
Country/TerritoryUnited States
CityArlington
Period8/14/178/17/17

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Transportation
  • Energy Engineering and Power Technology

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