The development of maximum power point tracking (MPPT) is continuing in order to increase the ene... more The development of maximum power point tracking (MPPT) is continuing in order to increase the energy transfer efficiency of the solar photovoltaic system. This paper provides a review of the conventional maximum power point tracking techniques that is enhanced by the presentation of a new technique. The new method is based on a genetic neural algorithm in order to predict the closest point to the maximum power point (MPP) , which will be the kick off point of the search process. Not only does the new technique start the search process from the nearest point to the MPP, but also the developed search algorithm is very fast. Consequently, the time taken to reach the MPP is reduced. In order to determine the new MPPT performance, a complete photovoltaic generator system is modeled and simulated using the MATLAB/SIMULINK package. Simulation results show that the new technique reaches the MPP in less than 100 sample times compared to tens of thousands of samples for conventional methods. Furthermore, the new technique reaches directly the target MPP with small deviation from the intended values. Consequently, the new technique has a significant improvement in energy extraction efficiency from the photovoltaic array to the load, in addition to higher tracking speed and system stability compared to the conventional ones.
importance. This paper presents an adaptive neural controller based on a back-propagation algorit... more importance. This paper presents an adaptive neural controller based on a back-propagation algorithm for maximum power control of PEM fuel cell system. The system consists of a buck-boost converter connected to the fuel cell. The adaptive neural controller receives the error and change of error signals as inputs during load changes and generates the DC-DC converter duty cycle. By using the inference, the duty ratio of the buck-boost converter is controlled so that the fuel cell can provide the maximum power. The ANN controller monitors also the temperature, the pressure and the cell voltage. In this paper the dynamic model for proton exchange membrane fuel cells using ten parameter model is used. The model has been implemented in MATLAB/SIMULINK. Both the double-layer charging effect and the thermodynamic characteristic inside the fuel cell are included in the model.
The nanogrid is a small scale power system that consists of renewable and non-renewable power res... more The nanogrid is a small scale power system that consists of renewable and non-renewable power resources that supply power to nearby loads. The control structure of the nanogrid aims to schedule the sources, such that the non-renewable source improves the system reliability during the long-term shortage of the renewable source. This is achieved by Dc-Bus Signaling (DBS) to reduce, as much as possible, the participation of the non-renewable sources in the electricity generation process, taking the maximum advantage of the renewable sources available. This paper presents the control method used for source scheduling of a nanogrid, and it also develops an algorithm that calculates the voltage thresholds for each source which satisfies the aimed scheduling.
Power quality is one of the major concerns in the power distribution systems. The problem of volt... more Power quality is one of the major concerns in the power distribution systems. The problem of voltage dips and swells and its impact on the sensitive loads are well known and need urgent attention for its mitigation. There are various methods for the mitigation of the voltage dips and swells. One of the most popular methods for this mitigation is the Dynamic Voltage Restore (DVR), which is considered fast, flexible and efficient method. This paper proposes nonlinear backstepping control method using voltage and current control strategies for the DVR. Different Multi Level Inverters (MLI) with different switching frequencies are used with DVR to minimize error and reduce harmonics content generated by the DVR. The performance of the proposed controller has been verified using MATLB/SIMULINK software and the results proved the efficiency of the suggested DVR control algorithm for different voltage dips.
... Hany.M.Hasanien, Ngar.H.Saad, Mahmoud.A.Mostfa, and Mohamed.A.Badr. ... i W '(0 ... more ... Hany.M.Hasanien, Ngar.H.Saad, Mahmoud.A.Mostfa, and Mohamed.A.Badr. ... i W '(0 ,i) = f'l'(0, i)lila=""o'l (6) o TIe i)= aw '(9, i),. \: ae ,=coo", (7) The used method in this study is based on some input curves obtained by measurement ...
The performance of doubly fed induction generator (DFIG) variable speed wind turbine under networ... more The performance of doubly fed induction generator (DFIG) variable speed wind turbine under network fault is studied using simulator developed in MATLAB/SIMULINK. Simulation results show the transient behavior of the doubly fed induction generator when a sudden short circuit at the generator bus is introduced. After the clearance of the short-circuit fault the control schemes manage to restore the wind
Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) systems to collect the max... more Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) systems to collect the maximum photovoltaic array power under variations in the insolation and temperature. This paper presents an artificial neural controller for maximum power point tracking of photovoltaic system based on back- propagation algorithm. The tracking algorithm changes the duty cycle of the DC-DC converter so that PV module voltage equals the voltage corresponding to the MPPT at any given insolation level and temperature conditions.
Adaptive filters and image enhancement techniques have repeatedly been suggested to make feature ... more Adaptive filters and image enhancement techniques have repeatedly been suggested to make feature extraction more robust. Few comparative analysis exists between competing techniques and even the existing ones evaluate only the effect of the filter on the image but not its effect on a feature extraction process. In this paper we present an experimental approach for the evaluation of low-level vision system components in a system framework. Our method is applied to adaptive filters. By analyzing the system architecture we chose an evaluation level and derive the evaluation criteria and parameter control strategies. The results show that none of the tested techniques performs better than linear filters or the Canny edge detector.
Wind Energy Conversion System (WECS) based on Doubly Fed Induction Generator (DFIG) connected to
... more Wind Energy Conversion System (WECS) based on Doubly Fed Induction Generator (DFIG) connected to the grid is subjected to high transient currents at rotor side and rise in DC-link voltage during voltage sag at stator/grid side. To secure power system operation wind turbines have to meet grid requirements through the Low voltage ride through (LVRT) capability and contribute to grid voltage control during severe situations. This paper presents the modeling and control designs for WECS based on a real model of DFIG taking into account the effect of stator resistance. The non-linear control technique using sliding mode control (SMC) strategy is used to alter the dynamics of 1.5 MW wind turbine system connected to the grid under severe faults of grid voltage. The paper, also discusses the transient behavior and points out the performance limit for LVRT by using two protection circuits of an AC-crowbar and a DC-Chopper which follow a developed flowchart of system protection modes under fault which achieved LVRT requirements through results. The model has been implemented in MATLAB/SIMULINK for both rotor and grid side converters.
The development of maximum power point tracking (MPPT) is continuing in order to increase the ene... more The development of maximum power point tracking (MPPT) is continuing in order to increase the energy transfer efficiency of the solar photovoltaic system. This paper provides a review of the conventional maximum power point tracking techniques that is enhanced by the presentation of a new technique. The new method is based on a genetic neural algorithm in order to predict the closest point to the maximum power point (MPP) , which will be the kick off point of the search process. Not only does the new technique start the search process from the nearest point to the MPP, but also the developed search algorithm is very fast. Consequently, the time taken to reach the MPP is reduced. In order to determine the new MPPT performance, a complete photovoltaic generator system is modeled and simulated using the MATLAB/SIMULINK package. Simulation results show that the new technique reaches the MPP in less than 100 sample times compared to tens of thousands of samples for conventional methods. Furthermore, the new technique reaches directly the target MPP with small deviation from the intended values. Consequently, the new technique has a significant improvement in energy extraction efficiency from the photovoltaic array to the load, in addition to higher tracking speed and system stability compared to the conventional ones.
importance. This paper presents an adaptive neural controller based on a back-propagation algorit... more importance. This paper presents an adaptive neural controller based on a back-propagation algorithm for maximum power control of PEM fuel cell system. The system consists of a buck-boost converter connected to the fuel cell. The adaptive neural controller receives the error and change of error signals as inputs during load changes and generates the DC-DC converter duty cycle. By using the inference, the duty ratio of the buck-boost converter is controlled so that the fuel cell can provide the maximum power. The ANN controller monitors also the temperature, the pressure and the cell voltage. In this paper the dynamic model for proton exchange membrane fuel cells using ten parameter model is used. The model has been implemented in MATLAB/SIMULINK. Both the double-layer charging effect and the thermodynamic characteristic inside the fuel cell are included in the model.
The nanogrid is a small scale power system that consists of renewable and non-renewable power res... more The nanogrid is a small scale power system that consists of renewable and non-renewable power resources that supply power to nearby loads. The control structure of the nanogrid aims to schedule the sources, such that the non-renewable source improves the system reliability during the long-term shortage of the renewable source. This is achieved by Dc-Bus Signaling (DBS) to reduce, as much as possible, the participation of the non-renewable sources in the electricity generation process, taking the maximum advantage of the renewable sources available. This paper presents the control method used for source scheduling of a nanogrid, and it also develops an algorithm that calculates the voltage thresholds for each source which satisfies the aimed scheduling.
Power quality is one of the major concerns in the power distribution systems. The problem of volt... more Power quality is one of the major concerns in the power distribution systems. The problem of voltage dips and swells and its impact on the sensitive loads are well known and need urgent attention for its mitigation. There are various methods for the mitigation of the voltage dips and swells. One of the most popular methods for this mitigation is the Dynamic Voltage Restore (DVR), which is considered fast, flexible and efficient method. This paper proposes nonlinear backstepping control method using voltage and current control strategies for the DVR. Different Multi Level Inverters (MLI) with different switching frequencies are used with DVR to minimize error and reduce harmonics content generated by the DVR. The performance of the proposed controller has been verified using MATLB/SIMULINK software and the results proved the efficiency of the suggested DVR control algorithm for different voltage dips.
... Hany.M.Hasanien, Ngar.H.Saad, Mahmoud.A.Mostfa, and Mohamed.A.Badr. ... i W '(0 ... more ... Hany.M.Hasanien, Ngar.H.Saad, Mahmoud.A.Mostfa, and Mohamed.A.Badr. ... i W '(0 ,i) = f'l'(0, i)lila=""o'l (6) o TIe i)= aw '(9, i),. \: ae ,=coo", (7) The used method in this study is based on some input curves obtained by measurement ...
The performance of doubly fed induction generator (DFIG) variable speed wind turbine under networ... more The performance of doubly fed induction generator (DFIG) variable speed wind turbine under network fault is studied using simulator developed in MATLAB/SIMULINK. Simulation results show the transient behavior of the doubly fed induction generator when a sudden short circuit at the generator bus is introduced. After the clearance of the short-circuit fault the control schemes manage to restore the wind
Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) systems to collect the max... more Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) systems to collect the maximum photovoltaic array power under variations in the insolation and temperature. This paper presents an artificial neural controller for maximum power point tracking of photovoltaic system based on back- propagation algorithm. The tracking algorithm changes the duty cycle of the DC-DC converter so that PV module voltage equals the voltage corresponding to the MPPT at any given insolation level and temperature conditions.
Adaptive filters and image enhancement techniques have repeatedly been suggested to make feature ... more Adaptive filters and image enhancement techniques have repeatedly been suggested to make feature extraction more robust. Few comparative analysis exists between competing techniques and even the existing ones evaluate only the effect of the filter on the image but not its effect on a feature extraction process. In this paper we present an experimental approach for the evaluation of low-level vision system components in a system framework. Our method is applied to adaptive filters. By analyzing the system architecture we chose an evaluation level and derive the evaluation criteria and parameter control strategies. The results show that none of the tested techniques performs better than linear filters or the Canny edge detector.
Wind Energy Conversion System (WECS) based on Doubly Fed Induction Generator (DFIG) connected to
... more Wind Energy Conversion System (WECS) based on Doubly Fed Induction Generator (DFIG) connected to the grid is subjected to high transient currents at rotor side and rise in DC-link voltage during voltage sag at stator/grid side. To secure power system operation wind turbines have to meet grid requirements through the Low voltage ride through (LVRT) capability and contribute to grid voltage control during severe situations. This paper presents the modeling and control designs for WECS based on a real model of DFIG taking into account the effect of stator resistance. The non-linear control technique using sliding mode control (SMC) strategy is used to alter the dynamics of 1.5 MW wind turbine system connected to the grid under severe faults of grid voltage. The paper, also discusses the transient behavior and points out the performance limit for LVRT by using two protection circuits of an AC-crowbar and a DC-Chopper which follow a developed flowchart of system protection modes under fault which achieved LVRT requirements through results. The model has been implemented in MATLAB/SIMULINK for both rotor and grid side converters.
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Papers by Naggar Saad
the grid is subjected to high transient currents at rotor side and rise in DC-link voltage during voltage sag
at stator/grid side. To secure power system operation wind turbines have to meet grid requirements
through the Low voltage ride through (LVRT) capability and contribute to grid voltage control during
severe situations. This paper presents the modeling and control designs for WECS based on a real model
of DFIG taking into account the effect of stator resistance. The non-linear control technique using sliding
mode control (SMC) strategy is used to alter the dynamics of 1.5 MW wind turbine system connected to
the grid under severe faults of grid voltage. The paper, also discusses the transient behavior and points
out the performance limit for LVRT by using two protection circuits of an AC-crowbar and a DC-Chopper
which follow a developed flowchart of system protection modes under fault which achieved LVRT requirements
through results. The model has been implemented in MATLAB/SIMULINK for both rotor and
grid side converters.
the grid is subjected to high transient currents at rotor side and rise in DC-link voltage during voltage sag
at stator/grid side. To secure power system operation wind turbines have to meet grid requirements
through the Low voltage ride through (LVRT) capability and contribute to grid voltage control during
severe situations. This paper presents the modeling and control designs for WECS based on a real model
of DFIG taking into account the effect of stator resistance. The non-linear control technique using sliding
mode control (SMC) strategy is used to alter the dynamics of 1.5 MW wind turbine system connected to
the grid under severe faults of grid voltage. The paper, also discusses the transient behavior and points
out the performance limit for LVRT by using two protection circuits of an AC-crowbar and a DC-Chopper
which follow a developed flowchart of system protection modes under fault which achieved LVRT requirements
through results. The model has been implemented in MATLAB/SIMULINK for both rotor and
grid side converters.