Methods for advanced wind turbine condition monitoring and early diagnosis: A literature review

ML Hossain, A Abu-Siada, SM Muyeen - Energies, 2018 - mdpi.com
Condition monitoring and early fault diagnosis for wind turbines have become essential
industry practice as they help improve wind farm reliability, overall performance and …

[PDF][PDF] Power generation using permanent magnet synchronous generator (PMSG) based variable speed wind energy conversion system (WECS): An overview

A Jain, S Shankar, V Vanitha - Journal of Green engineering, 2018 - riverpublishers.com
In the recent time, Permanent-Magnet Synchronous-Generator (PMSG) based variable-
speed Wind-Energy Conversion-Systems (WECS) has become very attractive to many …

Salp swarm algorithm-based optimal load frequency control of hybrid renewable power systems with communication delay and excitation cross-coupling effect

HM Hasanien, AA El-Fergany - Electric Power Systems Research, 2019 - Elsevier
This paper proposes a new application of the salp swarm algorithm (SSA) to fine-tune the
gains of proportional-integral-derivative (PID) controllers of load frequency control (LFC) of a …

Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources

HM Hasanien - IET Generation, Transmission & Distribution, 2018 - Wiley Online Library
Till this moment, the model of interconnected power systems in the automatic generation
control (AGC) loops relies only on the synchronous generating units. In today's world, a high …

Enhanced salp swarm algorithm: Application to variable speed wind generators

MH Qais, HM Hasanien, S Alghuwainem - Engineering Applications of …, 2019 - Elsevier
This article presented a novel modification and application of the salp swarm algorithm
(SSA) that is inspired by the chain behavior of salp fishes that live in deep oceans. Firstly …

An adaptive fuzzy logic control strategy for performance enhancement of a grid-connected PMSG-based wind turbine

MA Soliman, HM Hasanien, HZ Azazi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Wind power installations are rapidly increasing worldwide, leading to a huge level of
permeation into electricity supply networks. Enormous efforts are spent to improve the …

Sliding mode based adaptive linear neuron proportional resonant control of Vienna rectifier for performance improvement of electric vehicle charging system

H Ahmed, D Çelik - Journal of Power Sources, 2022 - Elsevier
With a strong expansion of transportation electrification, electric vehicle charging systems
are becoming very important part of the electrified powertrain. This paper proposes a sliding …

An adaptive control strategy for low voltage ride through capability enhancement of grid-connected photovoltaic power plants

HM Hasanien - IEEE Transactions on power systems, 2015 - ieeexplore.ieee.org
This paper presents a novel application of continuous mixed p-norm (CMPN) algorithm-
based adaptive control strategy with the purpose of enhancing the low voltage ride through …

Augmented grey wolf optimizer for grid-connected PMSG-based wind energy conversion systems

MH Qais, HM Hasanien, S Alghuwainem - Applied Soft Computing, 2018 - Elsevier
The grey wolf optimizer (GWO) is a new meta-heuristic algorithm inspired from the
leadership and prey searching, encircling, and hunting of the grey wolves' community. The …

African vulture optimization algorithm-based PI controllers for performance enhancement of hybrid renewable-energy systems

GA Ghazi, HM Hasanien, EA Al-Ammar, RA Turky… - Sustainability, 2022 - mdpi.com
An effective maximum power point tracking (MPPT) technique plays a crucial role in
improving the efficiency and performance of grid-connected renewable energy sources …