A new load frequency control strategy for micro-grids with considering electrical vehicles

MH Khooban, T Niknam, F Blaabjerg… - Electric Power Systems …, 2017 - Elsevier
Owing to the intermittent nature of the renewable energies employed in smart grids, large
frequency fluctuations occur when the load frequency control (LFC) capacity is not enough …

Recent advances on the use of meta-heuristic optimization algorithms to optimize the type-2 fuzzy logic systems in intelligent control

MF Hamza, HJ Yap, IA Choudhury - Neural Computing and Applications, 2017 - Springer
Finding the appropriate values of parameters and structure of type-2 fuzzy logic systems is a
difficult and complex task. Many types of meta-heuristic algorithms have been used to find …

Fast fault detection and classification based on a combination of wavelet singular entropy theory and fuzzy logic in distribution lines in the presence of distributed …

M Dehghani, MH Khooban, T Niknam - International Journal of Electrical …, 2016 - Elsevier
This paper proposes a new method of fault detection and classification in asymmetrical
distribution systems with dispersed generation to detect islanding and perform protective …

Implementing a Hardware-Based Big-Bang Big-Crunch Optimized Controller with Fractional-Order for a Heating, Ventilation, and Air Conditioning System

A Almabrok, M Psarakis, A Dounis - Energy and Buildings, 2023 - Elsevier
Industrial and commercial buildings are significant energy consumers, worldwide,
emphasizing the need for effective control techniques to reduce power consumption. This …

An intelligent and fast controller for DC/DC converter feeding CPL in a DC microgrid

H Farsizadeh, M Gheisarnejad… - … on circuits and …, 2019 - ieeexplore.ieee.org
The negative impedance characteristic of the constant power loads (CPLs) causes instability
in dc/dc converters in the dc microgrids (MGs). To improve the stability of the dc/dc converter …

A self-tuning load frequency control strategy for microgrids: Human brain emotional learning

MR Khalghani, MH Khooban… - International Journal of …, 2016 - Elsevier
Micro-grids consist of distributed power generation systems (DGs), distributed energy
storage devices (DSs), and loads. Controlling these systems is more difficult than ordinary …

Adaptive TS fuzzy-based MPC for DC microgrids with dynamic CPLs: Nonlinear power observer approach

N Vafamand, S Yousefizadeh… - IEEE Systems …, 2018 - ieeexplore.ieee.org
The performance of a DC microgrid (MG) might degrade because of the dynamics of
constant power loads (CPLs). In this paper, a novel adaptive controller is proposed to …

Simultaneous energy management and optimal components sizing of a zero-emission ferry boat

A Letafat, M Rafiei, M Sheikh, M Afshari-Igder… - Journal of Energy …, 2020 - Elsevier
Due to environmental and economic issues as well as the high performance of marine
vessels, efficient energy using has been becoming more demanding. Also, in order to have …

Free chattering hybrid sliding mode control for a class of non‐linear systems: electric vehicles as a case study

MH Khooban, T Niknam, F Blaabjerg… - IET Science …, 2016 - Wiley Online Library
In current study, in order to find the control of general uncertain nonlinear systems, a new
optimal hybrid control approach called Optimal General Type II Fuzzy Sliding Mode …

Fuzzy neural network-based health monitoring for HVAC system variable-air-volume unit

WH Allen, A Rubaai, R Chawla - IEEE Transactions on Industry …, 2015 - ieeexplore.ieee.org
For indoor smart grids, the proper operation of building environmental systems is essential
to energy efficiency, so automatic detection and classification of abnormal conditions are …