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Smart Shipboard Power System Operation and Management

School of Production Engineering & Management, Technical University of Crete, Chania GR-73100, Greece
Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Author to whom correspondence should be addressed.
Academic Editor: Chien-Hung Liu
Inventions 2016, 1(4), 22;
Received: 18 August 2016 / Revised: 22 October 2016 / Accepted: 24 October 2016 / Published: 2 November 2016
(This article belongs to the Special Issue New Technologies for Maritime Power Systems)
During recent years, optimal electrification of isolated offshore systems has become increasingly important and received extensive attention from the maritime industry. Especially with the introduction of electric propulsion, which has led to a total electrification of shipboard power systems known as all-electric ships (AESs), the need for more cost-effective and emission-aware solutions is augmented. Such onboard systems are prone to sudden load variations due to the changing weather conditions as well as mission profile, thus they require effective power management systems (PMSs) to operate optimally under different working conditions. In this paper, coordinated optimal power management at the supply/demand side of a given AES is studied with regard to different objectives and related technical/environmental constraints. The optimal power management problem is formulated as a mixed-integer nonlinear programming (MINLP) model and is solved using a metaheuristic algorithm. To show the effectiveness and applicability of the proposed PMS, several test scenarios are implemented and related simulation results are analyzed and compared to those from conventional methods. View Full-Text
Keywords: all-electric ship; coordinated energy management; constrained optimization; metaheuristic algorithm all-electric ship; coordinated energy management; constrained optimization; metaheuristic algorithm
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MDPI and ACS Style

Kanellos, F.D.; Anvari-Moghaddam, A.; Guerrero, J.M. Smart Shipboard Power System Operation and Management. Inventions 2016, 1, 22.

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