Optimized Distributed Cooperative Control for Islanded Microgrid Based on Dragonfly Algorithm

Falah Noori Saeed Al-dulaimi () and Sefer Kurnaz
Additional contact information
Falah Noori Saeed Al-dulaimi: School of Engineering and Natural Sciences, Altinbas University, Istanbul 34218, Turkey
Sefer Kurnaz: School of Engineering and Natural Sciences, Altinbas University, Istanbul 34218, Turkey

Energies, 2023, vol. 16, issue 22, 1-24

Abstract: This study introduces novel stochastic distributed cooperative control (SDCC) in the context of island microgrids (MGs). A proportional resonant (PR) controller and virtual impedance droop control in stationary reference frames are employed in cooperation with distributed averaging secondary control optimized by the dragonfly algorithm (DA). The suggested approach demonstrates the capability to achieve mean-square synchronization for the voltage and frequency restoration of distributed generators (DGs) to ensure efficient active power sharing. Therefore, a sparse communication network has been used to avoid data congestion and reduce the need for extensive communication and information exchange. The proposed system offers an instinctive compromise between voltage regulation and reactive power sharing. A conventional centralized secondary control with PR droop control is simulated for performance evaluation and comparison purposes. In this study, empirical evidence is demonstrated to support the MG’s ability to confront communication failure and its ability to work reliably during plug-and-play operations.

Keywords: microgrid; cooperative control; intelligent secondary; dragonfly algorithm; optimized distributed technique (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/22/7675/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/22/7675/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:22:p:7675-:d:1284062

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().