A novel fractional-order type-2 fuzzy control method for online frequency regulation in ac microgrid

A Mohammadzadeh, E Kayacan - Engineering Applications of Artificial …, 2020 - Elsevier
In this paper, a novel adaptive fractional-order fuzzy control method is developed for
frequency control in an ac microgrid (MG). A sequential general type-2 fuzzy system based …

The Advancement of Artificial Intelligence's Application in Hybrid Solar and Wind Power Plant Optimization: A Study of the Literature

MS Mauludin, M Khairudin, R Asnawi… - … in Applied Sciences …, 2025 - semarakilmu.com.my
The harnessing of solar, wind, and hydroelectric energy sources has rendered them easily
accessible renewable resources, owing to their abundant availability. There is a growing …

Optimal tuning of pi controller for boost dc-dc converters based on cuckoo optimization algorithm

A Mamizadeh, N Genc… - 2018 7th international …, 2018 - ieeexplore.ieee.org
Applications of the boost DC-DC converters are becoming popular due to their conformity to
renewable energy systems. PI controllers are the most used controllers in power electronic …

Load-Frequency control of Three-Area interconnected power systems with renewable energy sources using novel PSO~ PID-Like fuzzy logic controllers

DV Doan, K Nguyen, QV Thai - Engineering, Technology & Applied …, 2022 - etasr.com
Modern era power systems may include not only traditional primary energy sources like
hydro or thermal energy, but also a variety of Renewable Energy (RE) sources such as solar …

Frequency control of an island microgrid using reset control method in the presence of renewable sources and parametric uncertainty

T Banki, F Faghihi, S Soleymani - Systems Science & Control …, 2020 - Taylor & Francis
In recent years, several powerful control methods have been proposed. One of these
methods is the reset control, simple nonlinear control technique very effective for plants …

Load frequency control of an autonomous microgrid using robust fuzzy PI controller

A Annamraju, S Nandiraju - 2019 8th International Conference …, 2019 - ieeexplore.ieee.org
This paper proposes a robust load frequency control (LFC) strategy using a fuzzy logic-
based PI controller for an autonomous hybrid microgrid with high renewable penetration …

Provisional Microgrid Frequency Regulation by Brain Emotional Learning Based Intelligent Controller and Implementation Through FPGA

Z Li, J Gao, Y Yang - Journal of Electrical Engineering & Technology, 2024 - Springer
With the advancement of technology and human movement towards evolution, intelligent
control methods are becoming more important. One of the areas of progress is related to the …

Secondary control of islanded microgrids using PI-evolutionary algorithms under uncertainties

R Rabeh, M Ferfra, A Ezbakhe - International Journal of …, 2019 - ijrer-net.ijrer.org
Electrical grids converge now to a novel concept which named Microgrids (MG). it consists
on producing energy with isolated connected to grid to reduce dependency on fuel and main …

Comparative Evaluation of Different Hybrid Intelligent Load-Frequency Controllers for Interconnected Electric Power Grids

DV Doan, NK Nguyen - Engineering, Technology & Applied Science …, 2024 - etasr.com
Network frequency is considered to be one of the most crucial parameters that strongly affect
the stability and economic achievements of interconnected electric power grids. System …

Brain Emotional Learning-Based Intelligent Controller for Frequency Regulation of Uncertain Islanded Microgrid Considering Renewable Energy Sources.

Y Gu, J Sun, X Fu - Journal of New Materials for …, 2024 - search.ebscohost.com
In this paper, an intelligent brain emotional learning-based intelligent controller (BELBIC)
technique is presented for the secondary frequency control of microgrid. The effects of …