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Voltage control of switched reluctance generator using grasshopper optimization algorithm Mohamed Bahy; Adel S. Nada; Sayed H. Elbanna; Mohamed A. M. Shanab
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (949.691 KB) | DOI: 10.11591/ijpeds.v11.i1.pp75-85

Abstract

This paper presents a terminal voltage control approach of a Switched Reluctance Generator (SRG) based wind turbine generating systems. The control process is employed using a closed loop stimulated by the error between the reference voltage and the generator output voltage due to load and wind speed variation. This error feeds the tuned Proportional Integral controller (PI).Tuning of PI controller by conventional analysis methods is difficult by the existence of a significant non-linearity. A novel strategy method is presented here to determine optimum PI controller parameters of voltage control of SRG using Grasshopper Optimization Algorithm (GOA). This proposed approach is a simple and effective algorithm that is able to solve many optimization problems. The simplicity of algorithm provides high quality tuning of optimal PI controller parameters. The integral of time weighted squared error (ITSE) is used as the performance of the proposed GOA-PI controller. The effectiveness of the proposed strategy is tested with the three-phase 12/8 structure SRG. Outcomes indicate the supremacy of GOA over Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) in terms of control performance measures.
Proposed synchronization circuits connecting wind driven DFIG to the public grid Mohamed Hussein Agamy; Fathe M. Allythi; Adel S. Nada
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v12.i1.pp151-159

Abstract

This paper presents a tested proposal scheme to connect a DFIG driven by a wind turbine to the public grid. This scheme was implemented to drive an automatic transfer switch (ATS). Control of the phase sequence, phase difference, and the frequency of the injected power are achieved using these proposed control circuits. These circuits are practically implemented and laboratory tested. The system allows monitoring the rated frequency, synchronization, and fundamental magnitude. Simulation software such as Multi Sim and Proteus are used for system validation and compatibility. The implemented circuits are used for re-scaling the grid voltage to the logic level for real time comparison and calculations. In addition to the feature of data monitoring, the system can also log these data for the system debugging purposes. The system can be considered as a real time control where the measurements and the correction are made in few milliseconds (fractions of the fundamental cycle). The lower cost control circuits are implemented using an Arduino kit in addition to a discrete digital component. The simulation and experimental results are in satisfactory agreement showing the most salient features of this system.
Economical and efficient technique for a static localized maximum sun lux determination Ahmed H. Ali; Adel S. Nada; Ahmed S. Shalaby
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.326 KB) | DOI: 10.11591/ijpeds.v10.i2.pp777-784

Abstract

Solar energy is one of the most promising renewable sources that is currently being used worldwide to contribute for meeting rising demands. In this paper solar irradiance measurement will experimentally carried out in two different regions in Egypt; Cairo and Luxor cities. This paper proposes a simple solar lux measurement using a light dependent resistor (LDR) with an arduino kit. This technique is based on two approaches which are coarse and fine maximum sun lux determination. This is based on the predetermined 260 vertical slop of the LDR. Coarse tuning determines one of the reach sun lux quarter (900) of horizontal quad. The fine tuning allocates the optimized 100 in which; the maximum sun lux can be obtained. The optimal values of sun lux were found between the (90o–180o) quarter. This study confirms that the narrow ten degrees (95o-105o) are the optimized static sun lux extraction for the two site field measurements. This novel technique can be used for locating the angle of best installations for the solar cell at which maximum solar energy can be extracted. 
Speed control of electrical submersible pumps using fuzzy logic control Saleh M. El-koliel; Hussien Eleissawi; Adel S. Nada
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2515-2528

Abstract

Electrical submersible pumps (ESPs) are multistage centrifugal pumps driven by specially designed three-phase induction motors. They are used in many applications such as nuclear and petroleum industries. In the presented paper, we study the speed control of an ESP pump using a rule-based fuzzy logic controller (FLC). As a case study, an oil well is considered to analyze the effects of changing the speed of an ESP pump on both the ESP pump and motor parameters. The proposed speed control model of ESP pumps provides the ability to optimize wells production and power consumption, as well as soft starting of ESP motors. This is done by using a variable speed drive (VSD), which changes the frequency of the voltage supplied to the ESP motor. The utilized VSD model consists of a two-level voltage source inverter (VSI), space vector pulse width modulator (SVPWM) and a rule-based fuzzy logic speed controller. Also, in this study a dynamic hydraulic model of an oil well is implemented. In this study, a mathematical model of the ESP motor and ESP pump is developed. The obtained simulation results show that the combination of the FLC speed Controller and SVPWM provides a faster and more effective method of controlling the speed of electrical submersible pumps than the conventional PID speed controllers. The MATLAB/ SIMULINK software is used to achieve simulative validation of the complete system.