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Dynamic model predictive control of power management applied in hybrid marine propulsion systems

Fanouraki Eirini

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Year 2015
Type of Item Diploma Work
Bibliographic Citation Eirini Fanouraki, "Dynamic model predictive control of power management applied in hybrid marine propulsion systems", Diploma Work, Technical University of Crete, School of Electronic and Computer Engineering Chania, Greece, 2015
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In microgrid power systems, such as vessels, oil rigs, etc, the load fluctuations and abnormal conditions lead to mismatches in frequency. These mismatches have to be corrected by an LFC system. A robust frequency control technique involving the combination Model state based Predictive Control (MPC) as a reference generation to a conventional Proportional-Integral (PID), in the presence of forecast uncertainties is studied. The main contribution of this study is the implementation of the above control method towards the optimal regulation of the fuel rate and the operating frequency in order to overcome possible load fluctuations attributed to wave motion. The proposed control scheme is able to compensate during various and common sea operations, such as salvage operations, oil drilling or ship navigation and to minimize energy consumption, subject to all safety protocols applied.Although the MPC-PID technique is already documented and tested upon failure scenarios concerning diesel driven generator set (Genset) malfunctions, our additive control module is designed in a way to provide the necessary compensation for the uncertainty and the unaccountability of a harsh natural environment. A frequency response dynamic model of an electric ship power system with two Genset is introduced, and physical constraints of the governors and turbines are considered. The MPC-PID control technique is tested on this power system, for enhancement of the network frequency quality and energy consumption. The validity of this method is evaluated by computer simulation analysis using Matlab® / Simulink®. The objective of the controller is to keep the Genset at a given load sharing, while keeping the frequency within the desired rules and regulations, to a state where a single point failure does not lead to blackout, subject to energy minimization. Simulations implemented the MPC-PID method and the PID method are compared. The results show that, with the MPC-PID combination technique, the overall closed loop system performance demonstrated robustness regardless of the presence of uncertainties due to variations of the loads disturbances, under normal or failure Genset operation. The compensation achieved by the controller in the cases of wave load fluctuations under failure operation, are conservative. This is due to the choice of the fuel rate constraints. The PID method performs well only during the normal simulated cases (all Gensets in operation). The PID responses with bigger settling time than MPC-PID method. The PID method does not response well under failure operation cases.

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