The Future 5G Network Based Secondary Load Frequency Control in Maritime Microgrids

M. Gheisarnejad, M. Khooban, T. Dragicevic

Research output: Contribution to journalJournal articleResearchpeer-review

9 Downloads (Pure)

Abstract

This paper presents the applicability of the future fifth generation (5G) network technology for a marine vessel power system with the sea wave energy (SWE), Photovoltaic (PV) and energy storage systems (ESSs). In this study, a new optimal structured interval type-2 fractional order fuzzy PD/fuzzy PI (IT2FO-FPD/FPI) controller is proposed for the secondary load frequency control (LFC) of a networked shipboard multi-microgrid (NSMMG). The effect of the various degradation factors associated with the communication infrastructure such as the time delay and packet loss is modeled and addressed to assess the system performance in the networked control system (NCS) operation. The parameters embedded in the established structure are decisive factors, which significantly affect the quality of control output actions. Accordingly, by employing the concepts of the black-hole optimization algorithm (BHA) and Lévy flight, an enhanced JAYA (EJAYA) algorithm is proposed to adjust the setting of the established structured controller. Finally, comprehensive studies and hardware-in-the-loop (HIL) real-time simulations are conducted to appraise the acceptability of the suggested controller for a secondary LFC problem in the face of the uncertain NCS.
Original languageEnglish
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
ISSN2168-6777
DOIs
Publication statusE-pub ahead of print - Feb 2019

Fingerprint

Networked control systems
Controllers
Packet loss
Energy storage
Time delay
Hardware
Degradation
Communication

Keywords

  • Secondary load frequency control (LFC)
  • Enhanced JAYA algorithm
  • Networked shipboard multi-microgrid (NSMMG)
  • 5G network technology

Cite this

@article{40978edeeb7343ef9f15f43cefcf537d,
title = "The Future 5G Network Based Secondary Load Frequency Control in Maritime Microgrids",
abstract = "This paper presents the applicability of the future fifth generation (5G) network technology for a marine vessel power system with the sea wave energy (SWE), Photovoltaic (PV) and energy storage systems (ESSs). In this study, a new optimal structured interval type-2 fractional order fuzzy PD/fuzzy PI (IT2FO-FPD/FPI) controller is proposed for the secondary load frequency control (LFC) of a networked shipboard multi-microgrid (NSMMG). The effect of the various degradation factors associated with the communication infrastructure such as the time delay and packet loss is modeled and addressed to assess the system performance in the networked control system (NCS) operation. The parameters embedded in the established structure are decisive factors, which significantly affect the quality of control output actions. Accordingly, by employing the concepts of the black-hole optimization algorithm (BHA) and L{\'e}vy flight, an enhanced JAYA (EJAYA) algorithm is proposed to adjust the setting of the established structured controller. Finally, comprehensive studies and hardware-in-the-loop (HIL) real-time simulations are conducted to appraise the acceptability of the suggested controller for a secondary LFC problem in the face of the uncertain NCS.",
keywords = "5G mobile communication, Microgrids, Frequency control, Degradation, Phasor measurement units, Delay effects, Packet loss, Secondary load frequency control (LFC), enhanced JAYA algorithm, networked shipboard multi-microgrid (NSMMG), 5G network technology, Secondary load frequency control (LFC), Enhanced JAYA algorithm, Networked shipboard multi-microgrid (NSMMG), 5G network technology",
author = "M. Gheisarnejad and M. Khooban and T. Dragicevic",
year = "2019",
month = "2",
doi = "10.1109/JESTPE.2019.2898854",
language = "English",
journal = "I E E E Journal of Emerging and Selected Topics in Power Electronics",
issn = "2168-6777",
publisher = "IEEE",

}

The Future 5G Network Based Secondary Load Frequency Control in Maritime Microgrids. / Gheisarnejad, M.; Khooban, M.; Dragicevic, T.

In: IEEE Journal of Emerging and Selected Topics in Power Electronics, 02.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - The Future 5G Network Based Secondary Load Frequency Control in Maritime Microgrids

AU - Gheisarnejad, M.

AU - Khooban, M.

AU - Dragicevic, T.

PY - 2019/2

Y1 - 2019/2

N2 - This paper presents the applicability of the future fifth generation (5G) network technology for a marine vessel power system with the sea wave energy (SWE), Photovoltaic (PV) and energy storage systems (ESSs). In this study, a new optimal structured interval type-2 fractional order fuzzy PD/fuzzy PI (IT2FO-FPD/FPI) controller is proposed for the secondary load frequency control (LFC) of a networked shipboard multi-microgrid (NSMMG). The effect of the various degradation factors associated with the communication infrastructure such as the time delay and packet loss is modeled and addressed to assess the system performance in the networked control system (NCS) operation. The parameters embedded in the established structure are decisive factors, which significantly affect the quality of control output actions. Accordingly, by employing the concepts of the black-hole optimization algorithm (BHA) and Lévy flight, an enhanced JAYA (EJAYA) algorithm is proposed to adjust the setting of the established structured controller. Finally, comprehensive studies and hardware-in-the-loop (HIL) real-time simulations are conducted to appraise the acceptability of the suggested controller for a secondary LFC problem in the face of the uncertain NCS.

AB - This paper presents the applicability of the future fifth generation (5G) network technology for a marine vessel power system with the sea wave energy (SWE), Photovoltaic (PV) and energy storage systems (ESSs). In this study, a new optimal structured interval type-2 fractional order fuzzy PD/fuzzy PI (IT2FO-FPD/FPI) controller is proposed for the secondary load frequency control (LFC) of a networked shipboard multi-microgrid (NSMMG). The effect of the various degradation factors associated with the communication infrastructure such as the time delay and packet loss is modeled and addressed to assess the system performance in the networked control system (NCS) operation. The parameters embedded in the established structure are decisive factors, which significantly affect the quality of control output actions. Accordingly, by employing the concepts of the black-hole optimization algorithm (BHA) and Lévy flight, an enhanced JAYA (EJAYA) algorithm is proposed to adjust the setting of the established structured controller. Finally, comprehensive studies and hardware-in-the-loop (HIL) real-time simulations are conducted to appraise the acceptability of the suggested controller for a secondary LFC problem in the face of the uncertain NCS.

KW - 5G mobile communication

KW - Microgrids

KW - Frequency control

KW - Degradation

KW - Phasor measurement units

KW - Delay effects

KW - Packet loss

KW - Secondary load frequency control (LFC)

KW - enhanced JAYA algorithm

KW - networked shipboard multi-microgrid (NSMMG)

KW - 5G network technology

KW - Secondary load frequency control (LFC)

KW - Enhanced JAYA algorithm

KW - Networked shipboard multi-microgrid (NSMMG)

KW - 5G network technology

U2 - 10.1109/JESTPE.2019.2898854

DO - 10.1109/JESTPE.2019.2898854

M3 - Journal article

JO - I E E E Journal of Emerging and Selected Topics in Power Electronics

JF - I E E E Journal of Emerging and Selected Topics in Power Electronics

SN - 2168-6777

ER -