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Articles 1 - 10 of 10
Full-Text Articles in Electrical and Electronics
Optimal Tuning Of Power System Stabilizers Using Modified Particle Swarm Optimization, Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed
Optimal Tuning Of Power System Stabilizers Using Modified Particle Swarm Optimization, Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed
Dr. Mahdiyeh Eslami (مهدیه اسلامی)
No abstract provided.
Improved Particle Swarm Optimization With Disturbance Term For Multi-Machine Power System Stabilizer Design, Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, Mohammad Khajehzadeh
Improved Particle Swarm Optimization With Disturbance Term For Multi-Machine Power System Stabilizer Design, Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, Mohammad Khajehzadeh
Dr. Mahdiyeh Eslami (مهدیه اسلامی)
No abstract provided.
Tuning Of Power System Stabilizers Using Particle Swarm Optimization With Passive Congregation, Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, S. P Ghoshal
Tuning Of Power System Stabilizers Using Particle Swarm Optimization With Passive Congregation, Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, S. P Ghoshal
Dr. Mahdiyeh Eslami (مهدیه اسلامی)
No abstract provided.
Control Of A High-Performance Z-Source Inverter For Fuel Cell/Supercapacitor Hybrid Electric Vehicles, Omar Ellabban, Joeri Van Mierlo, Philippe Lataire
Control Of A High-Performance Z-Source Inverter For Fuel Cell/Supercapacitor Hybrid Electric Vehicles, Omar Ellabban, Joeri Van Mierlo, Philippe Lataire
Omar Ellabban
This paper presents a supercapacitor (SC) module connected in parallel with fuel cell (FC) stack to supply a high-performance Z-Source Inverter (HP-ZSI) feeding a three phase induction motor for hybrid electric vehicles applications. The supercapacitor is connected between the input diode and the bidirectional switch of the highperformance ZSI topology. The indirect field-oriented control (IFOC) method is used to control an induction motor speed during motoring and regenerative braking operations to produce the modulation index and a dual loop controller is used to control the Z-network capacitor voltage to produce the shoot-through duty ratio. MATLAB simulation results verified the validity …
A Neural Network Based Speed Control Of A Linear Induction Motor Drive, Adel A. Elbaset, Ahmed A. Hassan, Yehia S. Mohamed, T. Hiyama,, T. H. Mohamed
A Neural Network Based Speed Control Of A Linear Induction Motor Drive, Adel A. Elbaset, Ahmed A. Hassan, Yehia S. Mohamed, T. Hiyama,, T. H. Mohamed
Dr. Adel A. Elbaset
In this paper, a general regression neural network (GRNN) based controller is used to control the speed and thrust output of the linear induction motor drive. The field orientation principle is used to asymptotically decouple the motor speed from the secondary flux. The idea of model predictive control technique is used for the training of the proposed controller. The motivation for using this control strategy for training the GRNN based controller is to reduce the effect of the uncertainty due to motor parameters variation and load disturbance. This newly developed design strategy combines the advantage of the neural networks and …
The Impact Of Quality Management Systems During A Pebble Bed Modular Reactor Project : A Case Study, Lwandiso Zamxaka
The Impact Of Quality Management Systems During A Pebble Bed Modular Reactor Project : A Case Study, Lwandiso Zamxaka
Lwandiso L Zamxaka
In the nuclear industry, Quality Management Systems are extremely important,especially if one wishes to improve public acceptance of radioactive solutions.There is normally minimum communication between the public and scientists,especially in nuclear science. People are not comfortable with nuclear technology,based on the past history of the Chernobyl catastrophe. Consequently, it is difficult to discuss important and sensitive issues like disposing of nuclear waste. Quality Management Systems can improve public confidence and communication. Integrated Management Systems in the project planning stage of the project can be a proactive step towards preventing unnecessary delays and costs. There is a perception that quality is …
Genetic Algorithm Based Optim-Al Sizing Of Pv-Diesel-Battery System Considering Co2 Emission And Reliability, Dr. Adel A. Elbaset, Heri Suryoatmojo, Prof. Dr. Takashi Hiyama
Genetic Algorithm Based Optim-Al Sizing Of Pv-Diesel-Battery System Considering Co2 Emission And Reliability, Dr. Adel A. Elbaset, Heri Suryoatmojo, Prof. Dr. Takashi Hiyama
Dr. Adel A. Elbaset
The reliability system concern and CO2 emission reduction are still the main targets of optimization problem in the hybrid generation system components. This pa- per utilizes Genetic Algorithm (GA) method to determine the optimal capacities of PV system, battery bank and diesel generator (DG) unit according to the minimum cost ob- jective functions that relate to these two factors. In this study, the cost objective function includes the annual capital cost (ACC), annual operation maintenance cost (AOM), an- nual replacement cost (ARC), annual fuel cost (AFC), annual emission cost (AEC) and annual customer damage cost (ADC). The proposed method has …
Modeling And Control Of A Wind Farm And Electrolyzer System Connected To An Electrical Gird, Dr. Adel A. Elbaset, Prof. Dr. Omar H. Abdalla
Modeling And Control Of A Wind Farm And Electrolyzer System Connected To An Electrical Gird, Dr. Adel A. Elbaset, Prof. Dr. Omar H. Abdalla
Dr. Adel A. Elbaset
This paper presents modeling and control analysis of a combined Wind-H2 system connected to an electrical grid and supplying a local electric load. The system consists of a wind farm for electricity generation and an electrolyzer to produce hydrogen for a filling station. A computer program has been developed in MATLAB for simulating the operation and control of the integrated system. Energy balances and hydrogen flow balances are calculated for each time step based on a system model and the specified control strategy. The input of this program are hourly wind speed, characteristics of wind turbine generators, hourly load demand, …
Short-Term Load Forecasting Using Soft Computing Techniques, D. K. Chaturvedi
Short-Term Load Forecasting Using Soft Computing Techniques, D. K. Chaturvedi
D. K. Chaturvedi Dr.
Electric load forecasting is essential for developing a power supply strategy to improve the reliability of the ac power line data network and provide optimal load scheduling for developing countries where the demand is increased with high growth rate. In this paper, a short-term load forecasting realized by a generalized neu-ron–wavelet method is proposed. The proposed method consists of wavelet transform and soft computing technique. The wavelet transform splits up load time series into coarse and detail components to be the fea-tures for soft computing techniques using Generalized Neurons Network (GNN). The soft computing tech-niques forecast each component separately. The …
A Novel Eight Switches Inverter Topology For Plug-In Hybrid Electric Vehicle, Omar Hegazy, Joeri Van Mierlo
A Novel Eight Switches Inverter Topology For Plug-In Hybrid Electric Vehicle, Omar Hegazy, Joeri Van Mierlo
Dr. Eng. Omar Hegazy
In this paper, a novel inverter topology, Eight Switches Inverter (ESI), is proposed for HEV, especially PHEV system to reduce the number of switches, and to achieve high performance during discharging mode, braking mode and charging mode from grid. Thereby, this topology gives the ability to connect the vehicle with grid at home or at work to charge the Energy Storage System (ESS) easily, especially the battery unit. In addition, the cost and the volume of the power electronics unit (PEU) have reduced. In this research, there are two control strategies have tested to validate the performance of the proposed …