Enhancing Power Quality in Standalone Microgrids Powered by Wind and Battery Systems Using HO Algorithm Based Super Twisting Sliding Mode Controllers

Sana Sahbani (), Oumnia Licer, Hassane Mahmoudi, Abdennebi Hasnaoui and Mustapha Kchikach
Additional contact information
Sana Sahbani: Control and Command of Systems and Renewable Energies (CCSER) Team, (LMTCPS2E) Laboratory, Higher National School of Mines, Rabat P.O. Box 753, Morocco
Oumnia Licer: Control and Command of Systems and Renewable Energies (CCSER) Team, (LMTCPS2E) Laboratory, Higher National School of Mines, Rabat P.O. Box 753, Morocco
Hassane Mahmoudi: Electronics Power and Control (EPC) Team, Mohammadia School of Engineers, Mohammed V University, Rabat P.O. Box 765, Morocco
Abdennebi Hasnaoui: Control and Command of Systems and Renewable Energies (CCSER) Team, (LMTCPS2E) Laboratory, Higher National School of Mines, Rabat P.O. Box 753, Morocco
Mustapha Kchikach: Control and Command of Systems and Renewable Energies (CCSER) Team, (LMTCPS2E) Laboratory, Higher National School of Mines, Rabat P.O. Box 753, Morocco

Energies, 2024, vol. 17, issue 24, 1-15

Abstract: This paper addresses the challenge of enhancing power quality in a standalone microgrid powered by wind and battery systems. Fluctuations in wind power generation and unpredictable electricity demand significantly impact power quality. To mitigate these issues, a control strategy utilizing Super Twisting Sliding Mode (STSM) controllers tuned by the Hippopotamus Optimization Algorithm (HOA) is proposed. The HOA algorithm efficiently determines optimal STSM controller parameters, leading to improved system performance and stability. A comparative study was conducted against PI, Fuzzy Logic controllers, and other metaheuristic optimization algorithms (PSO, GWO, WOA). Simulation results, obtained using MATLAB/Simulink, demonstrate the superior performance of the proposed methodology. Specifically, during a simulated abrupt load change, the system exhibited rapid recovery with frequency reaching equilibrium, significantly faster than PI and Fuzzy Logic controllers. Moreover, the DC link voltage remained stable with fluctuations of only 2%, while the three-phase RMS voltages at the Point of Load Bus (PLB) maintained balanced and stable values. These results confirm the enhanced power quality and robust operation achieved with the proposed HOA-tuned STSM control strategy, outperforming other tested methods. The methodology effectively manages both the energy management system and improves power quality in standalone wind and battery-powered microgrids.

Keywords: wind system; battery storage; power quality; microgrid; super twisting sliding mode controllers; HOA (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/1996-1073/17/24/6492/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/24/6492/ (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:24:p:6492-:d:1550848

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 ().