TY - GEN
T1 - Efficient load management in electric ships
T2 - 34th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2019
AU - Zohrabi, Nasibeh
AU - Zakeri, Hasan
AU - Abdelwahed, Sherif
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/24
Y1 - 2019/5/24
N2 - This paper introduces a Model Predictive Control (MPC) approach for the Shipboard Power System (SPS) management under stressful high power loads. As part of the proposed approach, an optimization problem is formulated to mitigate the effects of a high power electrical load in the ship system and improve the overall system performance with respect to operating constraints. The nonlinear MPC also guarantees asymptotic stability of the closed-loop system by including a final cost in the objective function and a terminal inequality constraint. Moreover, a comparison of the controller performance under three different cases of load prediction, i.e. perfect prediction, no prediction and ARIMA prediction with different delays, is presented. In the case studies, a nonlinear model of Medium-Voltage DC shipboard power system is used for the control purpose. Simulation results illustrate the effectiveness of the presented MPC-based load management approach.
AB - This paper introduces a Model Predictive Control (MPC) approach for the Shipboard Power System (SPS) management under stressful high power loads. As part of the proposed approach, an optimization problem is formulated to mitigate the effects of a high power electrical load in the ship system and improve the overall system performance with respect to operating constraints. The nonlinear MPC also guarantees asymptotic stability of the closed-loop system by including a final cost in the objective function and a terminal inequality constraint. Moreover, a comparison of the controller performance under three different cases of load prediction, i.e. perfect prediction, no prediction and ARIMA prediction with different delays, is presented. In the case studies, a nonlinear model of Medium-Voltage DC shipboard power system is used for the control purpose. Simulation results illustrate the effectiveness of the presented MPC-based load management approach.
UR - http://www.scopus.com/inward/record.url?scp=85067091139&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067091139&partnerID=8YFLogxK
U2 - 10.1109/APEC.2019.8722245
DO - 10.1109/APEC.2019.8722245
M3 - Conference contribution
AN - SCOPUS:85067091139
T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
SP - 3000
EP - 3006
BT - 34th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 March 2019 through 21 March 2019
ER -