Design and Implementation of an Energy Management System with Event-Triggered Distributed Secondary Control in DC Microgrids

Ayberk Calpbinici, Erdal Irmak () and Ersan Kabalcı
Additional contact information
Ayberk Calpbinici: Electricity and Energy Department, Vocational School, Nevsehir Haci Bektas Veli University, Nevsehir 50300, Turkey
Erdal Irmak: Electrical and Electronics Engineering, Faculty of Technology, Gazi University, Ankara 06500, Turkey
Ersan Kabalcı: Electrical and Electronics Engineering, Engineering and Architecture Faculty, Nevsehir Haci Bektas Veli University, Nevsehir 50300, Turkey

Energies, 2024, vol. 17, issue 3, 1-28

Abstract: In this paper, an event-triggered distributed secondary control, along with an energy management algorithm, was developed to ensure the voltage stability and power management of a DC microgrid containing batteries and renewable energy sources, such as PV systems and wind turbines. The energy management algorithm, employing fuzzy logic control, governs power flow based on the generation status of sources and the charging rate of the battery. Consequently, the control algorithm shields the battery from overcharging and over-discharging situations, simultaneously ensuring energy quality within the microgrid. Sampled-data-based event-triggered control is integrated into the proposed distributed secondary control to alleviate communication burdens between controllers, effectively avoiding Zeno behavior. To demonstrate the efficacy of the proposed control algorithm, several experimental studies were conducted on a real DC microgrid prototype. The results obtained confirmed the controller’s effectiveness. With the proposed control algorithm, autonomous control has been developed to ensure the safe and continuous operation of loads in island-mode microgrids, incorporating PV systems, wind turbines, and batteries, while also minimizing communication overhead. This control system adeptly manages power flow, safeguards the battery against overcharging and over-discharging, and optimizes the efficiency of intermittent energy sources.

Keywords: microgrid; energy management system; event-triggered distributed secondary control; renewable energy; fuzzy logic (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: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/3/662/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/3/662/ (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:17:y:2024:i:3:p:662-:d:1329711

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 ().