UPM Institutional Repository

Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers


Al Sumarmad, Khaizaran Abdulhussein and Sulaiman, Nasri and Abdul Wahab, Noor Izzri and Hizam, Hashim (2022) Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers. Energies, 15 (1). art. no. 303. pp. 1-22. ISSN 1996-1073


Microgrids, comprising distributed generation, energy storage systems, and loads, have recently piqued users’ interest as a potentially viable renewable energy solution for combating climate change. According to the upstream electricity grid conditions, microgrid can operate in grid-connected and islanded modes. Energy storage systems play a critical role in maintaining the frequency and voltage stability of an islanded microgrid. As a result, several energy management systems techniques have been proposed. This paper introduces a microgrid system, an overview of local control in a microgrid, and an efficient EMS for effective microgrid operations using three smart controllers for optimal microgrid stability. We designed a microgrid consisting of renewable sources, Li-ion batteries, the main grid as a backup system, and AC/DC loads. The proposed system control was based on supplying loads as efficiently as possible using renewable energy sources and monitoring the battery’s state of charge. The simulation results using MATLAB Simulink demonstrate the performance of the three proposed microgrid stability strategies (PID, artificial neural network, and fuzzy logic). The comparison results confirmed the viability and effectiveness of the proposed technique for energy management in a microgrid which is based on fuzzy logic controllers.

Download File

Full text not available from this repository.
Official URL or Download Paper: https://www.mdpi.com/1996-1073/15/1/303

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3390/en15010303
Publisher: Multidisciplinary Digital Publishing Institute
Keywords: Microgrid; PID; Fuzzy logic; Artificial neural network; Distributed generation; Energy storage system
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 15 Jun 2023 21:38
Last Modified: 15 Jun 2023 21:39
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/en15010303
URI: http://psasir.upm.edu.my/id/eprint/101253
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item