Model predictive control of microgrids–An overview

J Hu, Y Shan, JM Guerrero, A Ioinovici… - … and Sustainable Energy …, 2021 - Elsevier
The development of microgrids is an advantageous option for integrating rapidly growing
renewable energies. However, the stochastic nature of renewable energies and variable …

A comprehensive review on power-quality issues, optimization techniques, and control strategies of microgrid based on renewable energy sources

E Hernández-Mayoral, M Madrigal-Martínez… - Sustainability, 2023 - mdpi.com
Microgrids (MGs) are systems that cleanly, efficiently, and economically integrate
Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical …

grid-connected PV generation system—Components and challenges: A review

MH Mohamed Hariri, MK Mat Desa, S Masri… - Energies, 2020 - mdpi.com
Renewable energy (RE) has become a focal point of interest as an alternative source of
energy to the traditional fossil fuel and other energy sources due to the fact that it is more …

[HTML][HTML] Particle swarm optimised fuzzy controller for charging–discharging and scheduling of battery energy storage system in MG applications

M Faisal, MA Hannan, PJ Ker, MSA Rahman… - Energy Reports, 2020 - Elsevier
Aiming at reducing the power consumption and costs of grids, this paper deals with the
development of particle swarm optimisation (PSO) based fuzzy logic controller (FLC) for …

Consensus-based control of hybrid energy storage system with a cascaded multiport converter in DC microgrids

B Wang, Y Wang, Y Xu, X Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This article presents a new consensus-based control method for hybrid energy storage
system (HESS) with a cascaded multiport converter in the DC microgrid. The cascaded …

Sustainable energy assessment of multi-type energy storage system in direct-current-microgrids adopting Mamdani with Sugeno fuzzy logic-based energy …

MA Hartani, M Hamouda, O Abdelkhalek… - Journal of Energy …, 2022 - Elsevier
The impact of combining diverse battery technologies exposed to PV uncertainty and pulsed
loads is a major research gap. This paper designs a rule-based Fuzzy Logic based-Energy …

Process knowledge-based random forest regression for model predictive control on a nonlinear production process with multiple working conditions

L Sun, Y Ji, X Zhu, T Peng - Advanced Engineering Informatics, 2022 - Elsevier
In process industry, predictive control approaches have been widely used for nonlinear
production processes. Practically, the predictor in a predictive controller is extremely …

Fuzzy-based charging–discharging controller for lithium-ion battery in microgrid applications

M Faisal, MA Hannan, PJ Ker… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents the fuzzy-based charging-discharging control technique of lithium-ion
battery storage in microgrid application. Considering available power, load demand, and …

Modeling, analysis, and design of novel control scheme for two‐input bidirectional DC‐DC converter for HESS in DC microgrid applications

S Punna, UB Manthati… - … on Electrical Energy …, 2021 - Wiley Online Library
This paper presents an advanced controller for multi‐input bidirectional DC–DC power
converter (MIPC) for hybrid energy storage system (HESS). When batteries are used for …

Investigations on performance enhancement measures of the bidirectional converter in PV–wind interconnected microgrid system

R Madurai Elavarasan, A Ghosh, T K. Mallick… - Energies, 2019 - mdpi.com
In this work, a hybrid microgrid framework was created with the assistance of a photovoltaic
(PV) and wind turbine (WT) generator. Additionally, bidirectional control mechanisms were …