In the case of partial shading conditions (PSCs), normal equations cannot be completely implement... more In the case of partial shading conditions (PSCs), normal equations cannot be completely implemented. The mathematical model of the Photovoltaic (PV) array needs to be modified and re-established with the existence of bypass diodes connected to the PV module, which can alleviate the negative effects of the PSCs and generate several peaks on the PV output characteristics curve. The first aim of this study is to modify and re-establish the mathematical model of the PV array under PSCs. Second, it aims to improve and validate the reliable Cuckoo Search Algorithm (CSA) by integrating it with PID (hybrid CSA-PID) to diminish the impact of PSCs problems. The hybrid CSA-PID was proposed to both track the global maximum power point (GMPP) of PV systems and reduce the tracking time to eliminate the fluctuations around the GMPP. Further, the PID controller was used to eliminate the error percentage obtained by CSA under PSCs to generate the required duty cycle, which provides the required and ...
For proton exchange membrane fuel cells (PEMFCs), the parameter extraction issue is among the mos... more For proton exchange membrane fuel cells (PEMFCs), the parameter extraction issue is among the most widely studied problems in the field of energy storage systems, since the precise identification of such parameters plays an important role in increasing the PEMFC performance and life span. The optimization process is intended to adjust the performance of PEMFCs by appraising the optimal parameters that produce a good estimation of the current–voltage (I–V) curve. In order to build an accurate equivalent circuit model for PEMFCs, a reliable and effective parameter extraction algorithm, termed a supply–demand-based optimization (SDO) algorithm, is proposed in this paper. Nine parameters (ξ1, ξ2, ξ3, ξ4, Rc, β, λ, l, and Jmax) are evaluated, to minimize the sum squared deviation (SSE) between the experimental and simulated I–V curves. To validate the feasibility and effectiveness of the SDO algorithm, four sets of experimental data with diverse characteristics and two well-known PEMFC s...
This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS... more This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing proton exchange membrane fuel cells (PEMFCs). The PEMFC model has many parameters that are linked in a nonlinear manner, as well as a set of constraints. The HGS was used with the aforementioned model to test its performance against nonlinear models. The main aim of the optimization problem was to obtain accurate values of PEMFC parameters. The proposed heuristic algorithm was used with two commercial PEMFCs: the Ballard Mark V and the BCS 500 W. The simulation results obtained using the HGS-based model were compared to the experimental results. The effectiveness of the proposed model was verified under various temperature and partial pressure conditions. The numerical output results of the HGS-based fuel cell model were compared with other optimization algorithm-based models with respect to their efficiency. M...
In this study, a novel bonobo optimizer (BO) technique is applied to find the optimal design for ... more In this study, a novel bonobo optimizer (BO) technique is applied to find the optimal design for an off-grid hybrid renewable energy system (HRES) that contains a diesel generator, photovoltaics (PV), a wind turbine (WT), and batteries as a storage system. The proposed HRES aims to electrify a remote region in northern Saudi Arabia based on annualized system cost (ASC) minimization and power system reliability enhancement. To differentiate and evaluate the performance, the BO was compared to four recent metaheuristic algorithms, called big-bang–big-crunch (BBBC), crow search (CS), the genetic algorithm (GA), and the butterfly optimization algorithm (BOA), to find the optimal design for the proposed off-grid HRES in terms of optimal and worst solutions captured, mean, convergence rate, and standard deviation. The obtained results reveal the efficacy of BO compared to the other four metaheuristic algorithms where it achieved the optimal solution of the proposed off-grid HRES with the ...
In this paper, a neighboring-pixel-based virtual imaging (NPBVI) technique is developed to compre... more In this paper, a neighboring-pixel-based virtual imaging (NPBVI) technique is developed to comprehensively detect the shading conditions on PV arrays. The proposed VI technique is then merged with a probabilistic mechanism of shaded module currents. Finally, a mathematical model is presented, which predicts the current voltage (I-V) region corresponding to the global maximum (GM) of the shaded PV array. The effectiveness of the proposed NPBVI MPPT is validated through numerous experiments that were carried out using a hardware prototype with a 150 W power rating. For the experiments, a PV array consisting of 3 × 2 (Np × Ns) 20 W PV modules was utilized. The experiments showcase agreement that the proposed method successfully identified the GM region of a partially shaded PV array.
Electrification of remote rural areas by adopting renewable energy technologies through the advan... more Electrification of remote rural areas by adopting renewable energy technologies through the advancement of smart micro-grids is indispensable for the achievement of continuous development goals. Satisfying the electricity demand of consumers while adhering to reliability constraints with docile computation analysis is challenging for the optimal sizing of a Hybrid Energy System (HES). This study proposes the new application of an Artificial Ecosystem-based Optimization (AEO) algorithm for the optimal sizing of a HES while satisfying Loss of Power Supply Probability (LPSP) and Renewable Energy Fraction (REF) reliability indices. Furthermore, reduction of surplus energy is achieved by adopting Demand Side Management (DSM), which increases the utilization of renewable energy. By adopting DSM, 28.38%, 43.05%, and 65.37% were achieved for the Cost of Energy (COE) saving at 40%, 60%, and 80% REF, respectively. The simulation and optimization results demonstrate the most cost-competitive s...
In this paper, a new application of Bonobo (BO) metaheuristic optimizer is presented for PV param... more In this paper, a new application of Bonobo (BO) metaheuristic optimizer is presented for PV parameter extraction. Its processes depict a reproductive approach and the social conduct of Bonobos. The BO algorithm is employed to extract the parameters of both the single diode and double diode model. The good performance of the BO is experimentally investigated on three commercial PV modules (STM6-40 and STP6-120/36) and an R.T.C. France silicon solar cell under various operating circumstances. The algorithm is easy to implement with less computational time. BO is extensively compared to other state of the art algorithms, manta ray foraging optimization (MRFO), artificial bee colony (ABO), particle swarm optimization (PSO), flower pollination algorithm (FPA), and supply-demand-based optimization (SDO) algorithms. Throughout the 50 runs, the BO algorithm has the best performance in terms of minimal simulation time for the R.T.C. France silicon, STM6-40/36 and STP6-120/36 modules. The fit...
This paper introduces a novel metaheuristic approach of sooty terns optimization algorithm (STOA)... more This paper introduces a novel metaheuristic approach of sooty terns optimization algorithm (STOA) to determine the optimum parameters of model predictive control (MPC)-based deregulated load frequency control (LFC). The system structure consists of three interconnected plants with nonlinear multisources comprising wind turbine, photovoltaic model with maximum power point tracker, and superconducting magnetic energy storage under deregulated environment. The proposed objective function is the integral time absolute error (ITAE) of the deviations in frequencies and powers in tie-lines. The analysis aims at determining the optimum parameters of MPC via STOA such that ITAE is minimized. Moreover, the proposed STOA-MPC is examined under variation of the system parameters and random load disturbance. The time responses and performance specifications of the proposed STOA-MPC are compared to those obtained with MPC optimized via differential evolution, intelligent water drops algorithm, sta...
Abstract Optimal allocation and sizing of the distributed generations (DGs) attract great attenti... more Abstract Optimal allocation and sizing of the distributed generations (DGs) attract great attention of many researchers all over the world. In this study, the problems associated to optimal DGs allocation and sizing are divided into two sub-problems. One of them deals with the DGs allocation at the critical buses and the other aims to select the optimal size of these DGs. A novel severity performance index (SPI) is introduced to evaluate both the power system reliability and quality. The crow search (CS) is integrated with PSO not only to collect the merits of both CS and PSO but also to solve the optimal power flow problem including multi-DGs allocated at the critical buses for the IEEE 30-bus test system. Detailed comparisons of four distinct DGs allocation cases are presented, discussed, and analyzed. The simulation findings proved that the DGs allocated based on the multi-objectives (SPI, total fuel costs; F C ; and power losses; P L ) have a superior performance compared to other cases in terms of voltage profile, branches loading, power losses, and total costs. Therefore, the multi DGs is preferred to be allocated based on these multi-objectives (SPI, F C , and P L ) in order to attain additional techno-economic benefits to the power system.
Under partial shading conditions (PSCs), solar photovoltaic (PV) energy systems generate multiple... more Under partial shading conditions (PSCs), solar photovoltaic (PV) energy systems generate multiple peaks; one global peak (GP) and several local peaks (LPs). Thus, tracking the GP of the PV systems under PSCs is necessary to enhance the system reliability and efficiency. Conventional maximum power point tracker (MPPT) algorithms are capable of tracking the unique peak under uniform conditions but they fail to track the GP under PSCs. To the best of our knowledge, this paper represents the first study that introduces a comprehensive comparison of three efficient maximum power point tracker (MPPT) algorithms that are used to extract the GP of the PV system under both uniform and PSCs. These MPPT techniques include two metaheuristic techniques, which are cuckoo search optimization (CSO) and particle swarm optimization (PSO) techniques in addition to one conventional MPPT; perturb and observe (P&O). Although the simulation and dSPACE-based experimental results demonstrated the superiorit...
Wind energy has been most prevalently utilized to generate electric power due to non pollution to... more Wind energy has been most prevalently utilized to generate electric power due to non pollution to the environment and the conservation of fossil fuel resources. The energy generated from wind turbine depends on the wind site characteristics and the wind turbine parameters. So, the choice of certain wind turbine for specific site is very important in terms of price of electric energy generated from wind energy system. Therefore, optimal choice of wind turbine is one of the most crucial issues in the design of wind energy system, which can utilize wind energy as efficiently as possible and achieve the best economic benefits. So this paper introduces a new and simple mathematic formulation for the wind turbine-site matching problem, based on wind speed characteristics of any site and the power curve parameters of any wind turbine. Wind speed at any site is characterized by the scale parameter (c) and the shape parameter (k) of the Weibull distribution function. The power curve paramete...
A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a dis... more A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a distribution system is presented in this paper. The proposed system is consisted of a dual unified power quality conditioner (D-UPQC) based on open-end winding (OEW) transformer and series connected converters. The D-UPQC is consisted of four series converters connected to the grid via two three-phase transformer with open-end winding on the converters side. The proposed scheme uses two PV arrays, each array feeds a separate dc-link of a two three phase voltage source converter (VSC). The structure, control and capability of the proposed configuration are discussed in this paper. The effectiveness of the proposed configuration has been verified through simulation studies using Simulink/Matlab.
2017 9th IEEE-GCC Conference and Exhibition (GCCCE), 2017
Distributed generation (DG) such as solar and wind systems have attracted energy sectors as an al... more Distributed generation (DG) such as solar and wind systems have attracted energy sectors as an alternative sources to produce electrical energy either in grid-connected or islanding mode. The increase of DGs penetration cause a power quality problems and it necessary to use power conditioners such as active power filters to mitigate these problems, since passive filter lack the ability to completely mitigate power quality problems in presence of nonlinear loads. This paper gives an overview of the main topologies of the combined operation of DGs based on photovoltaic, wind turbines and active power filters.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
Cascaded multilevel inverter topologies have received great attention specially in the PV-grid co... more Cascaded multilevel inverter topologies have received great attention specially in the PV-grid connection. This paper proposed a cascaded multilevel inverter topology to be used for numerous applications such as renewable energy grid connection, static VAR compensation, active power filters, etc. it is based on combination two conventional cascaded multilevel inverter topologies. Higher number of voltage levels can be generated from the proposed topology with reducing the components count. In addition, the voltage stress on switches are reduced and the total harmonic distortion of the generated voltages and currents are reduced compared to the conventional multilevel inverter topologies. The verification of the proposed topology is demonstrated using SIMULINK environment. In order to validate the good performance of the extension configuration as well as the accurately control, it is practically built in the lab. Data acquisition and control is achieved by using MicroLabBox real tim...
2017 9th IEEE-GCC Conference and Exhibition (GCCCE), 2017
A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a dis... more A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a distribution system is presented in this paper. The proposed system is consisted of a dual unified power quality conditioner (D-UPQC) based on open-end winding (OEW) transformer and series connected converters. The D-UPQC is consisted of four series converters connected to the grid via two three-phase transformer with open-end winding on the converters side. The proposed scheme uses two PV arrays, each array feeds a separate dc-link of a two three phase voltage source converter (VSC). The structure, control and capability of the proposed configuration are discussed in this paper. The effectiveness of the proposed configuration has been verified through simulation studies using Simulink/Matlab.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
This paper introduces an optimal control strategy to improve the operation of Photovoltaic (PV) g... more This paper introduces an optimal control strategy to improve the operation of Photovoltaic (PV) grid connected system. Grey Wolf Optimization (GWO), a meta-heuristic algorithm, is employed to control proportional-integral (PI) controller of DC/DC and DC/AC converters for efficient incorporation of PV into grid. The efficacy of the GWO is compared with Whale Optimization Algorithm (WOA), Grasshopper Optimization Algorithm (GOA) and Salp Swarm Algorithm (SSA) under varying irradiance condition. The complete simulation model is implemented in Matlab Simulink and editor. The achieved transient performance show the feasibility and viability of the adopted GWO approach.
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
Cascaded multilevel inverter (MLI) topologies have received an attractive solution for grid conne... more Cascaded multilevel inverter (MLI) topologies have received an attractive solution for grid connected PV system. In this paper, two-cascaded MLI topologies are presented for grid connected PV system. These are seven level cascaded H-bridge multilevel inverter and three phase cascaded voltage source multilevel inverter. In both presented MLI configurations, each PV module is connected to one DC-DC isolated Ćuk converter to achieve best MPPT as well as used for galvanic isolation in order to improve system efficiency. The DC-DC isolated Ćuk converters are cascaded to amplify the DC voltage in order to be used for medium and high voltage systems. On the other hand, the operation of H-bridge switches is that the two upper switches are operating at line frequency while the two lower switches are operating at switching frequency in order to reduce the switching losses. Simulation results show that both system are well functioning in improving the grid power quality. The three phase grid c...
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
Grid connected PV systems are the most popular solar electric system on the market today. The mos... more Grid connected PV systems are the most popular solar electric system on the market today. The most important device in the grid-connected PV system is the inverter. This paper presents a survey on the grid connected PV inverters and the system topologies used for grid connected PV system. The review describes different two level inverter topologies as well as multilevel inverter topologies. Cascaded multilevel inverter topologies take the most attention in this paper. Cascaded multilevel inverter generates the voltage based on series connection of switches to achieve high quality for the output voltage and current. The merits and demerits of each topology are briefly explained in this review paper as well as these topologies are compared to each other and showing their advantages over the other.
Electroencephalogram (EEG) signals reflect the activities or electrical disturbances in neurons i... more Electroencephalogram (EEG) signals reflect the activities or electrical disturbances in neurons in the human brain. Therefore, these signals are vital for diagnosing certain brain disorders. This study mainly focused on the diagnosis of epilepsy and autism spectrum disorders (ASDs) through the analysis and processing of EEGs. In this study, artifacts were removed from the EEG datasets using Independent Component Analysis and were filtered using a fifth-order band-pass Butterworth filter to remove interference and noise. Next, new methods were used to extract the features of EEGs using common spatial pattern (CSP). It is known that conventional CSP uses variance. However, here the use of entropy, energy, and band power with CSP was proposed to extract features of EEGs. Then, in our investigation, four techniques were employed for classification, namely, linear discriminant analysis, support vector machine, k-nearest neighbor (KNN), and artificial neural network, with the aim of compa...
In the case of partial shading conditions (PSCs), normal equations cannot be completely implement... more In the case of partial shading conditions (PSCs), normal equations cannot be completely implemented. The mathematical model of the Photovoltaic (PV) array needs to be modified and re-established with the existence of bypass diodes connected to the PV module, which can alleviate the negative effects of the PSCs and generate several peaks on the PV output characteristics curve. The first aim of this study is to modify and re-establish the mathematical model of the PV array under PSCs. Second, it aims to improve and validate the reliable Cuckoo Search Algorithm (CSA) by integrating it with PID (hybrid CSA-PID) to diminish the impact of PSCs problems. The hybrid CSA-PID was proposed to both track the global maximum power point (GMPP) of PV systems and reduce the tracking time to eliminate the fluctuations around the GMPP. Further, the PID controller was used to eliminate the error percentage obtained by CSA under PSCs to generate the required duty cycle, which provides the required and ...
For proton exchange membrane fuel cells (PEMFCs), the parameter extraction issue is among the mos... more For proton exchange membrane fuel cells (PEMFCs), the parameter extraction issue is among the most widely studied problems in the field of energy storage systems, since the precise identification of such parameters plays an important role in increasing the PEMFC performance and life span. The optimization process is intended to adjust the performance of PEMFCs by appraising the optimal parameters that produce a good estimation of the current–voltage (I–V) curve. In order to build an accurate equivalent circuit model for PEMFCs, a reliable and effective parameter extraction algorithm, termed a supply–demand-based optimization (SDO) algorithm, is proposed in this paper. Nine parameters (ξ1, ξ2, ξ3, ξ4, Rc, β, λ, l, and Jmax) are evaluated, to minimize the sum squared deviation (SSE) between the experimental and simulated I–V curves. To validate the feasibility and effectiveness of the SDO algorithm, four sets of experimental data with diverse characteristics and two well-known PEMFC s...
This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS... more This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing proton exchange membrane fuel cells (PEMFCs). The PEMFC model has many parameters that are linked in a nonlinear manner, as well as a set of constraints. The HGS was used with the aforementioned model to test its performance against nonlinear models. The main aim of the optimization problem was to obtain accurate values of PEMFC parameters. The proposed heuristic algorithm was used with two commercial PEMFCs: the Ballard Mark V and the BCS 500 W. The simulation results obtained using the HGS-based model were compared to the experimental results. The effectiveness of the proposed model was verified under various temperature and partial pressure conditions. The numerical output results of the HGS-based fuel cell model were compared with other optimization algorithm-based models with respect to their efficiency. M...
In this study, a novel bonobo optimizer (BO) technique is applied to find the optimal design for ... more In this study, a novel bonobo optimizer (BO) technique is applied to find the optimal design for an off-grid hybrid renewable energy system (HRES) that contains a diesel generator, photovoltaics (PV), a wind turbine (WT), and batteries as a storage system. The proposed HRES aims to electrify a remote region in northern Saudi Arabia based on annualized system cost (ASC) minimization and power system reliability enhancement. To differentiate and evaluate the performance, the BO was compared to four recent metaheuristic algorithms, called big-bang–big-crunch (BBBC), crow search (CS), the genetic algorithm (GA), and the butterfly optimization algorithm (BOA), to find the optimal design for the proposed off-grid HRES in terms of optimal and worst solutions captured, mean, convergence rate, and standard deviation. The obtained results reveal the efficacy of BO compared to the other four metaheuristic algorithms where it achieved the optimal solution of the proposed off-grid HRES with the ...
In this paper, a neighboring-pixel-based virtual imaging (NPBVI) technique is developed to compre... more In this paper, a neighboring-pixel-based virtual imaging (NPBVI) technique is developed to comprehensively detect the shading conditions on PV arrays. The proposed VI technique is then merged with a probabilistic mechanism of shaded module currents. Finally, a mathematical model is presented, which predicts the current voltage (I-V) region corresponding to the global maximum (GM) of the shaded PV array. The effectiveness of the proposed NPBVI MPPT is validated through numerous experiments that were carried out using a hardware prototype with a 150 W power rating. For the experiments, a PV array consisting of 3 × 2 (Np × Ns) 20 W PV modules was utilized. The experiments showcase agreement that the proposed method successfully identified the GM region of a partially shaded PV array.
Electrification of remote rural areas by adopting renewable energy technologies through the advan... more Electrification of remote rural areas by adopting renewable energy technologies through the advancement of smart micro-grids is indispensable for the achievement of continuous development goals. Satisfying the electricity demand of consumers while adhering to reliability constraints with docile computation analysis is challenging for the optimal sizing of a Hybrid Energy System (HES). This study proposes the new application of an Artificial Ecosystem-based Optimization (AEO) algorithm for the optimal sizing of a HES while satisfying Loss of Power Supply Probability (LPSP) and Renewable Energy Fraction (REF) reliability indices. Furthermore, reduction of surplus energy is achieved by adopting Demand Side Management (DSM), which increases the utilization of renewable energy. By adopting DSM, 28.38%, 43.05%, and 65.37% were achieved for the Cost of Energy (COE) saving at 40%, 60%, and 80% REF, respectively. The simulation and optimization results demonstrate the most cost-competitive s...
In this paper, a new application of Bonobo (BO) metaheuristic optimizer is presented for PV param... more In this paper, a new application of Bonobo (BO) metaheuristic optimizer is presented for PV parameter extraction. Its processes depict a reproductive approach and the social conduct of Bonobos. The BO algorithm is employed to extract the parameters of both the single diode and double diode model. The good performance of the BO is experimentally investigated on three commercial PV modules (STM6-40 and STP6-120/36) and an R.T.C. France silicon solar cell under various operating circumstances. The algorithm is easy to implement with less computational time. BO is extensively compared to other state of the art algorithms, manta ray foraging optimization (MRFO), artificial bee colony (ABO), particle swarm optimization (PSO), flower pollination algorithm (FPA), and supply-demand-based optimization (SDO) algorithms. Throughout the 50 runs, the BO algorithm has the best performance in terms of minimal simulation time for the R.T.C. France silicon, STM6-40/36 and STP6-120/36 modules. The fit...
This paper introduces a novel metaheuristic approach of sooty terns optimization algorithm (STOA)... more This paper introduces a novel metaheuristic approach of sooty terns optimization algorithm (STOA) to determine the optimum parameters of model predictive control (MPC)-based deregulated load frequency control (LFC). The system structure consists of three interconnected plants with nonlinear multisources comprising wind turbine, photovoltaic model with maximum power point tracker, and superconducting magnetic energy storage under deregulated environment. The proposed objective function is the integral time absolute error (ITAE) of the deviations in frequencies and powers in tie-lines. The analysis aims at determining the optimum parameters of MPC via STOA such that ITAE is minimized. Moreover, the proposed STOA-MPC is examined under variation of the system parameters and random load disturbance. The time responses and performance specifications of the proposed STOA-MPC are compared to those obtained with MPC optimized via differential evolution, intelligent water drops algorithm, sta...
Abstract Optimal allocation and sizing of the distributed generations (DGs) attract great attenti... more Abstract Optimal allocation and sizing of the distributed generations (DGs) attract great attention of many researchers all over the world. In this study, the problems associated to optimal DGs allocation and sizing are divided into two sub-problems. One of them deals with the DGs allocation at the critical buses and the other aims to select the optimal size of these DGs. A novel severity performance index (SPI) is introduced to evaluate both the power system reliability and quality. The crow search (CS) is integrated with PSO not only to collect the merits of both CS and PSO but also to solve the optimal power flow problem including multi-DGs allocated at the critical buses for the IEEE 30-bus test system. Detailed comparisons of four distinct DGs allocation cases are presented, discussed, and analyzed. The simulation findings proved that the DGs allocated based on the multi-objectives (SPI, total fuel costs; F C ; and power losses; P L ) have a superior performance compared to other cases in terms of voltage profile, branches loading, power losses, and total costs. Therefore, the multi DGs is preferred to be allocated based on these multi-objectives (SPI, F C , and P L ) in order to attain additional techno-economic benefits to the power system.
Under partial shading conditions (PSCs), solar photovoltaic (PV) energy systems generate multiple... more Under partial shading conditions (PSCs), solar photovoltaic (PV) energy systems generate multiple peaks; one global peak (GP) and several local peaks (LPs). Thus, tracking the GP of the PV systems under PSCs is necessary to enhance the system reliability and efficiency. Conventional maximum power point tracker (MPPT) algorithms are capable of tracking the unique peak under uniform conditions but they fail to track the GP under PSCs. To the best of our knowledge, this paper represents the first study that introduces a comprehensive comparison of three efficient maximum power point tracker (MPPT) algorithms that are used to extract the GP of the PV system under both uniform and PSCs. These MPPT techniques include two metaheuristic techniques, which are cuckoo search optimization (CSO) and particle swarm optimization (PSO) techniques in addition to one conventional MPPT; perturb and observe (P&O). Although the simulation and dSPACE-based experimental results demonstrated the superiorit...
Wind energy has been most prevalently utilized to generate electric power due to non pollution to... more Wind energy has been most prevalently utilized to generate electric power due to non pollution to the environment and the conservation of fossil fuel resources. The energy generated from wind turbine depends on the wind site characteristics and the wind turbine parameters. So, the choice of certain wind turbine for specific site is very important in terms of price of electric energy generated from wind energy system. Therefore, optimal choice of wind turbine is one of the most crucial issues in the design of wind energy system, which can utilize wind energy as efficiently as possible and achieve the best economic benefits. So this paper introduces a new and simple mathematic formulation for the wind turbine-site matching problem, based on wind speed characteristics of any site and the power curve parameters of any wind turbine. Wind speed at any site is characterized by the scale parameter (c) and the shape parameter (k) of the Weibull distribution function. The power curve paramete...
A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a dis... more A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a distribution system is presented in this paper. The proposed system is consisted of a dual unified power quality conditioner (D-UPQC) based on open-end winding (OEW) transformer and series connected converters. The D-UPQC is consisted of four series converters connected to the grid via two three-phase transformer with open-end winding on the converters side. The proposed scheme uses two PV arrays, each array feeds a separate dc-link of a two three phase voltage source converter (VSC). The structure, control and capability of the proposed configuration are discussed in this paper. The effectiveness of the proposed configuration has been verified through simulation studies using Simulink/Matlab.
2017 9th IEEE-GCC Conference and Exhibition (GCCCE), 2017
Distributed generation (DG) such as solar and wind systems have attracted energy sectors as an al... more Distributed generation (DG) such as solar and wind systems have attracted energy sectors as an alternative sources to produce electrical energy either in grid-connected or islanding mode. The increase of DGs penetration cause a power quality problems and it necessary to use power conditioners such as active power filters to mitigate these problems, since passive filter lack the ability to completely mitigate power quality problems in presence of nonlinear loads. This paper gives an overview of the main topologies of the combined operation of DGs based on photovoltaic, wind turbines and active power filters.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
Cascaded multilevel inverter topologies have received great attention specially in the PV-grid co... more Cascaded multilevel inverter topologies have received great attention specially in the PV-grid connection. This paper proposed a cascaded multilevel inverter topology to be used for numerous applications such as renewable energy grid connection, static VAR compensation, active power filters, etc. it is based on combination two conventional cascaded multilevel inverter topologies. Higher number of voltage levels can be generated from the proposed topology with reducing the components count. In addition, the voltage stress on switches are reduced and the total harmonic distortion of the generated voltages and currents are reduced compared to the conventional multilevel inverter topologies. The verification of the proposed topology is demonstrated using SIMULINK environment. In order to validate the good performance of the extension configuration as well as the accurately control, it is practically built in the lab. Data acquisition and control is achieved by using MicroLabBox real tim...
2017 9th IEEE-GCC Conference and Exhibition (GCCCE), 2017
A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a dis... more A new scheme for a grid connected photovoltaic system capable of enhancing power quality of a distribution system is presented in this paper. The proposed system is consisted of a dual unified power quality conditioner (D-UPQC) based on open-end winding (OEW) transformer and series connected converters. The D-UPQC is consisted of four series converters connected to the grid via two three-phase transformer with open-end winding on the converters side. The proposed scheme uses two PV arrays, each array feeds a separate dc-link of a two three phase voltage source converter (VSC). The structure, control and capability of the proposed configuration are discussed in this paper. The effectiveness of the proposed configuration has been verified through simulation studies using Simulink/Matlab.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
This paper introduces an optimal control strategy to improve the operation of Photovoltaic (PV) g... more This paper introduces an optimal control strategy to improve the operation of Photovoltaic (PV) grid connected system. Grey Wolf Optimization (GWO), a meta-heuristic algorithm, is employed to control proportional-integral (PI) controller of DC/DC and DC/AC converters for efficient incorporation of PV into grid. The efficacy of the GWO is compared with Whale Optimization Algorithm (WOA), Grasshopper Optimization Algorithm (GOA) and Salp Swarm Algorithm (SSA) under varying irradiance condition. The complete simulation model is implemented in Matlab Simulink and editor. The achieved transient performance show the feasibility and viability of the adopted GWO approach.
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
Cascaded multilevel inverter (MLI) topologies have received an attractive solution for grid conne... more Cascaded multilevel inverter (MLI) topologies have received an attractive solution for grid connected PV system. In this paper, two-cascaded MLI topologies are presented for grid connected PV system. These are seven level cascaded H-bridge multilevel inverter and three phase cascaded voltage source multilevel inverter. In both presented MLI configurations, each PV module is connected to one DC-DC isolated Ćuk converter to achieve best MPPT as well as used for galvanic isolation in order to improve system efficiency. The DC-DC isolated Ćuk converters are cascaded to amplify the DC voltage in order to be used for medium and high voltage systems. On the other hand, the operation of H-bridge switches is that the two upper switches are operating at line frequency while the two lower switches are operating at switching frequency in order to reduce the switching losses. Simulation results show that both system are well functioning in improving the grid power quality. The three phase grid c...
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017
Grid connected PV systems are the most popular solar electric system on the market today. The mos... more Grid connected PV systems are the most popular solar electric system on the market today. The most important device in the grid-connected PV system is the inverter. This paper presents a survey on the grid connected PV inverters and the system topologies used for grid connected PV system. The review describes different two level inverter topologies as well as multilevel inverter topologies. Cascaded multilevel inverter topologies take the most attention in this paper. Cascaded multilevel inverter generates the voltage based on series connection of switches to achieve high quality for the output voltage and current. The merits and demerits of each topology are briefly explained in this review paper as well as these topologies are compared to each other and showing their advantages over the other.
Electroencephalogram (EEG) signals reflect the activities or electrical disturbances in neurons i... more Electroencephalogram (EEG) signals reflect the activities or electrical disturbances in neurons in the human brain. Therefore, these signals are vital for diagnosing certain brain disorders. This study mainly focused on the diagnosis of epilepsy and autism spectrum disorders (ASDs) through the analysis and processing of EEGs. In this study, artifacts were removed from the EEG datasets using Independent Component Analysis and were filtered using a fifth-order band-pass Butterworth filter to remove interference and noise. Next, new methods were used to extract the features of EEGs using common spatial pattern (CSP). It is known that conventional CSP uses variance. However, here the use of entropy, energy, and band power with CSP was proposed to extract features of EEGs. Then, in our investigation, four techniques were employed for classification, namely, linear discriminant analysis, support vector machine, k-nearest neighbor (KNN), and artificial neural network, with the aim of compa...
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