Hany M. Hasanien
Hany M. Hasanien
Professor at Ain Shams University, Faculty of Engineering, Electrical Power and Machines Department
Verified email at eng.asu.edu.eg
Cited by
Cited by
Design optimization of transverse flux linear motor for weight reduction and performance improvement using response surface methodology and genetic algorithms
HM Hasanien, AS Abd-Rabou, SM Sakr
IEEE Transactions on Energy Conversion 25 (3), 598-605, 2010
Single and multi-objective optimal power flow using grey wolf optimizer and differential evolution algorithms
AA El-Fergany, HM Hasanien
Electric Power Components and Systems 43 (13), 1548-1559, 2015
Design optimization of controller parameters used in variable speed wind energy conversion system by genetic algorithms
HM Hasanien, SM Muyeen
IEEE Transactions on Sustainable Energy 3 (2), 200-208, 2012
Design Optimization of PID Controller in Automatic Voltage Regulator System Using Taguchi Combined Genetic Algorithm Method
HM Hasanien
IEEE Systems Journal 7 (December 2013), 825-831, 2013
Particle swarm design optimization of transverse flux linear motor for weight reduction and improvement of thrust force
HM Hasanien
IEEE Transactions on Industrial Electronics 58 (9), 4048-4056, 2010
Optimal power flow solution in power systems using a novel Sine-Cosine algorithm
AF Attia, RA El Sehiemy, HM Hasanien
International Journal of Electrical Power & Energy Systems 99, 331-343, 2018
An adaptive control strategy for low voltage ride through capability enhancement of grid-connected photovoltaic power plants
HM Hasanien
IEEE Transactions on power systems 31 (4), 3230-3237, 2015
Shuffled frog leaping algorithm for photovoltaic model identification
HM Hasanien
IEEE Transactions on Sustainable Energy 6 (2), 509-515, 2015
Wind energy conversion systems: technology and trends
SM Muyeen
Springer Science & Business Media, 2012
Harmony Search Algorithm Based Controller Parameters Optimization for a Distributed Generation System
M Ambia, H Hasanien, A Al-Durra, S Muyeen
IEEE Transactions on Power Delivery 30 (1), 246-255, 2015
A Set-Membership Affine Projection Algorithm-Based Adaptive-Controlled SMES Units for Wind Farms Output Power Smoothing
HM Hasanien
IEEE Transactions on Sustainable Energy 5 (4), 1226-1233, 2014
Speed control of grid-connected switched reluctance generator driven by variable speed wind turbine using adaptive neural network controller
HM Hasanien, SM Muyeen
Electric Power Systems Research 84 (1), 206-213, 2012
Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources
HM Hasanien
IET Generation, Transmission & Distribution 12 (3), 607-614, 2017
A Taguchi approach for optimum design of proportional-integral controllers in cascaded control scheme
HM Hasanien, SM Muyeen
IEEE Transactions on Power Systems 28 (2), 1636-1644, 2012
FPGA implementation of adaptive ANN controller for speed regulation of permanent magnet stepper motor drives
HM Hasanien
Energy Conversion and Management 52 (2), 1252-1257, 2011
A Fuzzy Logic Controller for Autonomous Operation of a Voltage Source Converter-Based Distributed Generation System
HM Hasanien, M Matar
IEEE Transactions on Smart Grid 6 (1), 158-165, 2015
Performance improvement of photovoltaic power systems using an optimal control strategy based on whale optimization algorithm
HM Hasanien
Electric Power Systems Research 157, 168-176, 2018
Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES
SM Muyeen, HM Hasanien, A Al-Durra
Energy Conversion and Management 78, 412-420, 2014
Reduction of frequency fluctuation for wind farm connected power systems by an adaptive artificial neural network controlled energy capacitor system
SM Muyeen, HM Hasanien, J Tamura
IET Renewable Power Generation 6 (4), 226-235, 2012
Enhanced salp swarm algorithm: Application to variable speed wind generators
MH Qais, HM Hasanien, S Alghuwainem
Engineering Applications of Artificial Intelligence 80, 82-96, 2019
The system can't perform the operation now. Try again later.
Articles 1–20