Tarek Hassan Mohamed

Sliding mode control of linear induction motors using space vector controlled inverter

This paper compares the performance of hysteresis current control and space vector PWM operation of indirect field oriented controlled linear induction motor drive. Sliding mode control or standard PI controllers are applied in the outer control loop to control the mover speed. The inner control loops are standard PI controllers to regulate the direct and quadratic current components. The end effect is taken into account as an external load function of speed in all the studied cases. Numerous simulations are performed based on the MATLAB SIMULINK platform to show the advantages and drawbacks of the system operation based on both controller algorithms and the two modulations techniques.

Field oriented control of sensorless linear induction motor using matrix converter

This paper presents a new controller for the sensorless linear induction motor (LIM) based on field oriented control driven by matrix converter. Conventional PI controlled has been employed for the speed control of mover. Speed estimation of the mover has been employed using Model Reference Adaptive System (MRAS) technique. The PWM switching technique of the matrix converter is designed based on minimum voltage drop switching (MVDS) in order to minimize the converter power loss and harmonic. MVDS switching technique prevents direct switching between minimum and maximum voltage, which reduces the voltage stress on power semiconductor devices. The proposed system has the advantages of high reliability, high efficiency, and low cost due to the elimination of the mechanical speed sensor. The effectiveness of the proposed control technique has been verified using Matlab simulink.

Load frequency control of an isolated small power system with contribution of vehicle-to-grid V2G scheme

This paper used plug-in electric vehicle (EVs) for frequency control in an isolated small smart power system, the main power source of this small system is a diesel generator, in additionally, a photovoltaic (PV) renewable source is considered. Model predictive control method (MPC) is used as a robust area controller to solve the problems of load change and system uncertainties. A smart vehicles-to-grid (V2G) system is used as a feedback controller in aim of supporting the area controller to reduce the frequency fluctuation and to minimize the diesel output power effort needed to face the problem of random load changes and unstable PV power. Simulation studies confirm the efficiency of the proposed model predictive control method plus vehicle-to-grid scheme (MPC+V2G) scheme in face of step load, variable load and renewable energy fluctuations. In addition, the results were compared with the results of both only MPC and conventional integral control methods. And this comparison supported the superiority of the proposed MPC+V2g scheme.

A robust load frequency control of power system with fluctuation of renewable energy sources

A new load frequency control (LFC) using the model predictive control (MPC) technique in the presence of variable wind turbines (WT), uncontrolled variable solar power & thermal power have been presented. The MPC technique has been designed such that the effect of the uncertainty due to governor and turbine parameters variation and variable wind, solar power & load disturbance is reduced. A simplified frequency response model is introduced and physical constraints of the power system are considered. The model has been employed in the MPC structure. Digital simulations for a power system are provided to validate the effectiveness of the proposed scheme. The results show that, with the proposed MPC technique and with participation of renewable energy sources, the system performance is robust to the uncertainties. A performance comparison between the proposed and a conventional integral control scheme is carried out confirming the superiority of the proposed MPC technique in presence of renewable energy sources in power system.

CDM application on power system as a load frequency controller

This paper presents a new load frequency control (LFC) design using the coefficient diagram method (CDM). The CDM technique has been designed such that the effect of the uncertainty due to governor and turbine parameters variation and load disturbance is reduced. A frequency response dynamic model of a single-area power system is introduced, and physical constraints of the governors and turbines are considered. Digital simulations for a single area power system are provided to validate the effectiveness of the proposed scheme. The results show that, with the proposed CDM technique, the overall closed loop system performance demonstrated robustness in the face of uncertainties due to, variations of the parameters of governors and turbines, and loads disturbances. A performance comparison between the proposed controller and a classical integral control scheme is carried out confirming the superiority of the proposed CDM technique.