Research

PhD defence by Mojtaba Mehrzadi on Power Management Systems for Dynamic Positioning Offshore Support Vessels: Artificial Intelligence and Optimization for Shipboard Microgrids

Time

11.03.2021 kl. 13.00 - 16.00

Description

Mojtaba Mehrzadi, Department of Energy Technology, will defend the thesis "Power Management Systems for Dynamic Positioning Offshore Support Vessels: Artificial Intelligence and Optimization for Shipboard Microgrids"

TITLE

Power Management Systems for Dynamic Positioning Offshore Support Vessels: Artificial Intelligence and Optimization for Shipboard Microgrids

PHD DEFENDANT

Mojtaba Mehrzadi

SUPERVISOR

Professor Josep M. Guerrero

CO-Supervisor

Professor Juan C. Vasquez

MODERATOR

Associate Professor  Zhenyu Yang

OPPONENTS

Associate Professor Zhenyu Yang, Dept. of Energy Technology, Aalborg University (Chairman)
Professor Doris Sáez Hueichapan, University of Chile, Chile
Associate Professor Muzamir Isa, University Malaysia Perlis, Malaysia

ABSTRACT

Recent developments in the marine industry concentrate on using modern technology to apply an innovative strategy for reducing greenhouse gas emissions (GHG) and increasing energy efficiency. Most advanced ships are equipped with electric propulsion, diesel generators to produce power for variable speed propellers, and distribution systems. Furthermore, maneuvering in deep water due to anchor handling limitations such as oil exploration, offshore wind farm, cable, and pipe laying is defined as a high-risk operation. Advanced technology is known as the dynamic positioning system (DPS) to avoid loss of position and compensate for the ship motions induced by sea disturbances during the DP operation (DPS), which is automatically used to control the ship motions desired position. Hence, the DPS applies to compute the power demand and corresponding command forces and direction to each thruster motors to counteract sea disturbances. Inadequate power can reduce DPS execution, loss of station, power failure, and increase fuel consumption and GHG emissions. Therefore, an energy storage system (ESS) is implemented to improve the power system's reliability and stability to prevent the risk of blackout and power system failure. Furthermore, ESS reduces the propulsion torque and power consumption due to the loading of standby generators during the synchronization process, peak power demand in harsh environments, and closed busbar failure. Accordingly, the unpredicted thruster's power demand due to uncertainties and sudden sea forces changes such as wind and wave is forecasted for PMS in the DP ship based on the artificial intelligence (AI) method.
 
    

 

THE DEFENCE IN ENGLISH - all are welcome.

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