The Flyback converter topology is a well-known and widely used for AC-DC and DC-DC power converte... more The Flyback converter topology is a well-known and widely used for AC-DC and DC-DC power converters that cover a broad-spectrum including switching power supplies, photovoltaic (PV) system, electric cars, and fuel cell-based generation systems, and among other applications. In this work, Active Clamp Flyback (ACF) and Interleaved Active Clamp (IACF) converters are designed and simulated for the use of DC-DC converters of PV system applications. Two control systems are used to control the output voltage of the DC-DC converters for various PV conditions, which are PID (proportional integral derivatives) and FLC (fuzzy logic controller). MATLAB/SIMULINK is used to model and simulate the proposed system, where the proposed control systems are developed to regulate the output voltage for the load requirements. The simulation results of the proposed PV systems indicate that the output voltage stabilizes effectively to the required voltage (24 V) for various loads/applications while the in...
The performance deviation of a PV/Water pumping system is inevitable due to the serious effect ca... more The performance deviation of a PV/Water pumping system is inevitable due to the serious effect caused by major ambient factors. Those factors are mainly the partial shading condition (PSC) of the PV array, the angle of incidence (AOI) of the solar beam, the air mass (AM), and the dust. This paper develops an aggregated irradiance model that incorporates the effects of all the major ambient factors. This model is developed by estimating the hourly global irradiance on the tilted surface, then dividing it into its main components. After that the effect of each ambient factor is modeled in association to a particular component of the global irradiance. This paper also implements an improved variable step size maximum power point tracking (MPPT) algorithm that is suitable for multiple maximum power points occurring during PSC. Thereafter, the modeling of a complete PV/water pumping system is built using MATLAB. The performance deviation is analyzed with sunshine hours for a given day an...
Solar photovoltaic (PV) energy, a nonconventional source, has been a good replacement and best ut... more Solar photovoltaic (PV) energy, a nonconventional source, has been a good replacement and best utilized electric source which is clean, non-polluting, safe, and renewable. A power converter is needed to regulate and control the harvested solar power and achieve the required output voltage for various applications. In this paper, two power converters are presented and discussed for PV systems, which are SEPIC (single-ended primary inductor converter) and LLC resonant converters. Control systems are designed and developed to tune, regulate, and control the output voltage of the SEPIC and LLC converters under various conditions with respect to the load requirements. These proposed control systems are PID (proportional integral derivatives) and FLC (fuzzy logic controller) that are investigated for the nonlinear models of the power converters. MATLAB/SIMULINK is used to model and simulate the proposed PV systems, where the performance of the open loop and closed loop (PID/FLC) systems f...
Wireless power transfer system has a major concern for several decades since various benefits hav... more Wireless power transfer system has a major concern for several decades since various benefits have been included against wired counterpart. In this context, coupling structure has been investigated for various coils having different shapes of both magnetic cores and windings. This investigation is implemented based on a mathematical and modeling analysis to calculate inductive values of charging setups. This paper provides an accurate evaluation of inductive characteristics for the proposed coreless helical and spiral coils. The evaluation considers the dependence of inductive parameters on distance, geometry, and misalignment of coupling coils. In addition, the evaluation method is verified by the COMSOL software. Moreover, an accurate approximation of required inductive parameters is provided for the design of wireless charging system. Furthermore, four ferrite cores are provided for both winding types; and their coupling coefficients are examined to show the best configuration. R...
This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs)... more This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable energy resources (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective optimisation problem. It minimises the total cost and emission simultaneously. Simulation results in nine different cases are conducted to emulate the complexity of the EEDP. Also, the proposed scheduling procedure is tested under abnormal operation of MGs considering unexpected increase in power demand, shortage of battery storage and partial shedding of photovoltaic units. These cases reveal the capability of the proposed method. A multi-objective function is employed to increase the economic benefits and minimise emission issues. In this line, the simulation results are obtained using an enhanced moth-flame optimisation (EMFO) algorithm. The obtained results verified the effectiveness, robustness and global convergence for minimising emission and generation costs. These results are compared with several well-known techniques in the literature. Notable economic and environmental benefits are achieved using the EMFO that lead to flexible scheduling of RERs for MG operation under uncertainty.
Abstract This paper proposes an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving the... more Abstract This paper proposes an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving the non-convex economic dispatch (ED) problem with valve point effects and emissions. It determines the optimal generation schedule of generating units by minimizing both fuel cost and emission simultaneously while the system constraints are achieved. The moth-flame optimization (MFO) is a recent nature-inspired method, which is based on the navigation mechanism called transverse orientation of Moths in space. The EMFO combines the merits of the traditional MFO and levy flight by concentration the search space. The usage of L e vy-flight has the prominent properties to increase the diversity of population. The effectiveness of the proposed EMFO method is proven on using 10 benchmark functions and 3 standard test systems consisting of 6, 40 and a large scale 80 generating units with non-convex fuel cost functions. The capability of the proposed algorithm is verified also for single and multi-objective studied cases and its results are compared with several well-known previous techniques. The results confirm the high performance of the proposed EMFO method for finding the optimal economic generation scheduling at acceptable low emission levels.
The Flyback converter topology is a well-known and widely used for AC-DC and DC-DC power converte... more The Flyback converter topology is a well-known and widely used for AC-DC and DC-DC power converters that cover a broad-spectrum including switching power supplies, photovoltaic (PV) system, electric cars, and fuel cell-based generation systems, and among other applications. In this work, Active Clamp Flyback (ACF) and Interleaved Active Clamp (IACF) converters are designed and simulated for the use of DC-DC converters of PV system applications. Two control systems are used to control the output voltage of the DC-DC converters for various PV conditions, which are PID (proportional integral derivatives) and FLC (fuzzy logic controller). MATLAB/SIMULINK is used to model and simulate the proposed system, where the proposed control systems are developed to regulate the output voltage for the load requirements. The simulation results of the proposed PV systems indicate that the output voltage stabilizes effectively to the required voltage (24 V) for various loads/applications while the in...
The performance deviation of a PV/Water pumping system is inevitable due to the serious effect ca... more The performance deviation of a PV/Water pumping system is inevitable due to the serious effect caused by major ambient factors. Those factors are mainly the partial shading condition (PSC) of the PV array, the angle of incidence (AOI) of the solar beam, the air mass (AM), and the dust. This paper develops an aggregated irradiance model that incorporates the effects of all the major ambient factors. This model is developed by estimating the hourly global irradiance on the tilted surface, then dividing it into its main components. After that the effect of each ambient factor is modeled in association to a particular component of the global irradiance. This paper also implements an improved variable step size maximum power point tracking (MPPT) algorithm that is suitable for multiple maximum power points occurring during PSC. Thereafter, the modeling of a complete PV/water pumping system is built using MATLAB. The performance deviation is analyzed with sunshine hours for a given day an...
Solar photovoltaic (PV) energy, a nonconventional source, has been a good replacement and best ut... more Solar photovoltaic (PV) energy, a nonconventional source, has been a good replacement and best utilized electric source which is clean, non-polluting, safe, and renewable. A power converter is needed to regulate and control the harvested solar power and achieve the required output voltage for various applications. In this paper, two power converters are presented and discussed for PV systems, which are SEPIC (single-ended primary inductor converter) and LLC resonant converters. Control systems are designed and developed to tune, regulate, and control the output voltage of the SEPIC and LLC converters under various conditions with respect to the load requirements. These proposed control systems are PID (proportional integral derivatives) and FLC (fuzzy logic controller) that are investigated for the nonlinear models of the power converters. MATLAB/SIMULINK is used to model and simulate the proposed PV systems, where the performance of the open loop and closed loop (PID/FLC) systems f...
Wireless power transfer system has a major concern for several decades since various benefits hav... more Wireless power transfer system has a major concern for several decades since various benefits have been included against wired counterpart. In this context, coupling structure has been investigated for various coils having different shapes of both magnetic cores and windings. This investigation is implemented based on a mathematical and modeling analysis to calculate inductive values of charging setups. This paper provides an accurate evaluation of inductive characteristics for the proposed coreless helical and spiral coils. The evaluation considers the dependence of inductive parameters on distance, geometry, and misalignment of coupling coils. In addition, the evaluation method is verified by the COMSOL software. Moreover, an accurate approximation of required inductive parameters is provided for the design of wireless charging system. Furthermore, four ferrite cores are provided for both winding types; and their coupling coefficients are examined to show the best configuration. R...
This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs)... more This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable energy resources (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective optimisation problem. It minimises the total cost and emission simultaneously. Simulation results in nine different cases are conducted to emulate the complexity of the EEDP. Also, the proposed scheduling procedure is tested under abnormal operation of MGs considering unexpected increase in power demand, shortage of battery storage and partial shedding of photovoltaic units. These cases reveal the capability of the proposed method. A multi-objective function is employed to increase the economic benefits and minimise emission issues. In this line, the simulation results are obtained using an enhanced moth-flame optimisation (EMFO) algorithm. The obtained results verified the effectiveness, robustness and global convergence for minimising emission and generation costs. These results are compared with several well-known techniques in the literature. Notable economic and environmental benefits are achieved using the EMFO that lead to flexible scheduling of RERs for MG operation under uncertainty.
Abstract This paper proposes an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving the... more Abstract This paper proposes an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving the non-convex economic dispatch (ED) problem with valve point effects and emissions. It determines the optimal generation schedule of generating units by minimizing both fuel cost and emission simultaneously while the system constraints are achieved. The moth-flame optimization (MFO) is a recent nature-inspired method, which is based on the navigation mechanism called transverse orientation of Moths in space. The EMFO combines the merits of the traditional MFO and levy flight by concentration the search space. The usage of L e vy-flight has the prominent properties to increase the diversity of population. The effectiveness of the proposed EMFO method is proven on using 10 benchmark functions and 3 standard test systems consisting of 6, 40 and a large scale 80 generating units with non-convex fuel cost functions. The capability of the proposed algorithm is verified also for single and multi-objective studied cases and its results are compared with several well-known previous techniques. The results confirm the high performance of the proposed EMFO method for finding the optimal economic generation scheduling at acceptable low emission levels.
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