Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients

Fuente: arXiv
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Hauptverfasser: Putri, Saskia, Ge, Xiaoyu, Moazeni, Faegheh, Khazaei, Javad
Format: Preprint
Veröffentlicht: 2023
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author Putri, Saskia
Ge, Xiaoyu
Moazeni, Faegheh
Khazaei, Javad
author_facet Putri, Saskia
Ge, Xiaoyu
Moazeni, Faegheh
Khazaei, Javad
contents This paper presents a novel control strategy for medium voltage DC (MVDC) naval shipboard microgrids (MGs), employing a nonlinear model predictive controller (NMPC) enhanced with stabilizing features and an intricate droop control architecture. This combination quickly regulates the output voltage and adeptly allocates supercapacitors for pulsed power loads (PPLs), while the battery energy storage system (BESS) and auxiliary generators handle the steady state loads. A key feature of this study is the formulation of terminal cost and constraints, providing recursive feasibility and closed-loop stability in the Lyapunov sense, that offers a more robust and effective approach to naval power and energy management. By comparing the proposed Lyapunov-based NMPC with conventional PI controller under fluctuating PPLs, the control robustness is validated.
format Preprint
id arxiv_https___arxiv_org_abs_2312_03604
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients
Putri, Saskia
Ge, Xiaoyu
Moazeni, Faegheh
Khazaei, Javad
Systems and Control
This paper presents a novel control strategy for medium voltage DC (MVDC) naval shipboard microgrids (MGs), employing a nonlinear model predictive controller (NMPC) enhanced with stabilizing features and an intricate droop control architecture. This combination quickly regulates the output voltage and adeptly allocates supercapacitors for pulsed power loads (PPLs), while the battery energy storage system (BESS) and auxiliary generators handle the steady state loads. A key feature of this study is the formulation of terminal cost and constraints, providing recursive feasibility and closed-loop stability in the Lyapunov sense, that offers a more robust and effective approach to naval power and energy management. By comparing the proposed Lyapunov-based NMPC with conventional PI controller under fluctuating PPLs, the control robustness is validated.
title Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients
topic Systems and Control
url https://arxiv.org/abs/2312.03604