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Research paper thumbnail of A Novel MPPT Design for a Partially Shaded PV System Using Spotted Hyena Optimization Algorithm

Engineering, Technology & Applied Science Research, Dec 11, 2021

Partial shading is a common problem in photovoltaic (PV) systems, known for its difficulty. Numer... more Partial shading is a common problem in photovoltaic (PV) systems, known for its difficulty. Numerous attempts have been conducted to mitigate this problem. Some of these efforts deploy metaheuristic optimization with a view to tracking the multiple-peak P-V curve in a partial shading PV system. Hence, this paper proposes a novel metaheuristic algorithm to track the maximum power point of PV systems using the Spotted Hyena Optimization (SHO) algorithm. When evaluated, the SHO algorithm proved to be very fast, robust, and accurate in standard conditions, Partial Shading Conditions (PSCs), and irradiance variations. Also, the results reveal a remarkable improvement in the performance when we compare the SHO algorithm with the Grey Wolf Optimization (GWO) algorithm and the Perturb and Observe (P&O) algorithm.

Research paper thumbnail of On the enhancement of dc/dc converters dynamics using Gorilla Troop Optimizer based controller design

All Sciences Abstracts

DC/DC converters can exhibit highly nonlinear responses when their parameters are changed, such a... more DC/DC converters can exhibit highly nonlinear responses when their parameters are changed, such as bifurcation, quasi-periodic, and chaotic responses. In these cases, it is difficult to predict and control the converter's behavior. This paper explores the nonlinear behaviors of a DC/DC buck converter when its parameters are changed (Load, input voltage etc.). The phase plane and the bifurcation diagram are used to identify the various periodicities of the limit cycles. To address this, a solution based on the Gorilla troop optimizer (GTO) is proposed and simulated in MATLAB. Results demonstrate the use of a Aquila optimizer-based controller design can eliminate nonlinear phenomena in DC/DC converters and provide an efficient and cost-effective solution.

Research paper thumbnail of Control of Three-level Four Wire Shunt Active Power Filter in Grid Connected PV-Fuel Cell System Employing Model Predictive Current Control Strategy

All Sciences Abstracts

In this paper a Model Predictive Current Control (MPCC) of Four Wire Shunt Active Power Filter (4... more In this paper a Model Predictive Current Control (MPCC) of Four Wire Shunt Active Power Filter (4WSAPF) with Photo Voltaic (PV) system is proposed. The shunt active power filter requires an energy source to correct distortions in the current, and it utilizes a photovoltaic array with a DC-DC boost converter as a source of DC power. this study presents the application of a Particle Swarm Optimization (PSO) maximum power point tracking (MPPT) technique to the DC-DC boost converter, aiming to obtain the highest possible power from the photovoltaic array. The reference signal for the SAPF is obtained from the pqr theory. To fulfil the requirement of the active power filtering function under balanced, unbalanced, and distorted (including 3rd and 5th harmonics) power supply voltages, the inverter switching state control has been achieved based on MPCC. The effectiveness of the proposed configuration is verified through results obtained from simulation studies conducted in the MATLAB/Simul...

Research paper thumbnail of Maximum Power Point Tracking for Photovoltaic System under Partial Shading Conditions using Aquila Optimizer Algorithm

All Sciences Abstracts

The output of photovoltaic (PV) systems can be affected by inconsistent irradiance, temperature, ... more The output of photovoltaic (PV) systems can be affected by inconsistent irradiance, temperature, and unexpected weather conditions, classified as partial shading conditions (PSC). To address these difficulties, this work applies an Aquila optimizer algorithm (AO), a bio-inspired meta-heuristic algorithm, to track the multiple-peak P–V curve in PV systems under such PSCs. The results of the AO algorithm were found to be highly efficient, reliable, and precise in normal conditions, PSCs, and fluctuations in irradiance. Additionally, the AO algorithm was shown to have a much better performance when compared to the particle swarm optimization algorithm (PSO) and perturb and observe (P&O) algorithm. The work was validated and executed using MATLAB/Simulink software.

Research paper thumbnail of Shifting of Nonlinear Phenomenon in the Boost converter Using Aquila Optimizer

The Journal of Engineering and Exact Sciences

Power electronics circuits are characterized by nonlinear dynamics, because of the cyclic switchi... more Power electronics circuits are characterized by nonlinear dynamics, because of the cyclic switching between a finite number of topologies, which can give rise to a variety of behaviors. DC/DC converters are prone to nonlinear phenomena, such as bifurcations, quasi-periodic and chaotic responses, which can make it difficult or even impossible to analyze, predict, and control the converter's behavior. This paper offers an examination of the chaotic behavior of the DC/DC boost converter and suggests an optimized PID controller as solution to the nonlinear phenomena. Aquila optimizer AO is employed to determine the ideal parameters for the controller by computing the discrepancy between the reference current and the value of the inductor current, as well as the discrepancy between the inductor current readings during switch openings. The simulation results using MATLAB demonstrate the effectiveness of the proposed solution.

Research paper thumbnail of Chaos Elimination for a Buck Converter Using the Multi-Objective Grey Wolf Optimiser

Power Electronics and Drives

A wide variety of nonlinear phenomena, such as bifurcation and chaos, have been observed in power... more A wide variety of nonlinear phenomena, such as bifurcation and chaos, have been observed in power electronics converters. Much research has been conducted on these behaviours in different converter topologies. The buck converter is known to exhibit chaotic behaviour in a wide parameter range, giving rise to unstable behaviours depending on the circuit parameters values. This paper investigates this bifurcation behaviour by varying the parameters of a voltage PI (Proportional Integral) controlled buck converter operating in continuous conduction mode, using a continuous-time model and constant frequency control signal. Furthermore, a novel and improved version of the PI compensation technique, designed using the multi-objective grey wolf optimiser (MOGWO), is proposed to stabilise the buck converter from chaotic state to periodic orbit.

Research paper thumbnail of A Novel MPPT Design for a Partially Shaded PV System Using Spotted Hyena Optimization Algorithm

Engineering, Technology & Applied Science Research, Dec 11, 2021

Partial shading is a common problem in photovoltaic (PV) systems, known for its difficulty. Numer... more Partial shading is a common problem in photovoltaic (PV) systems, known for its difficulty. Numerous attempts have been conducted to mitigate this problem. Some of these efforts deploy metaheuristic optimization with a view to tracking the multiple-peak P-V curve in a partial shading PV system. Hence, this paper proposes a novel metaheuristic algorithm to track the maximum power point of PV systems using the Spotted Hyena Optimization (SHO) algorithm. When evaluated, the SHO algorithm proved to be very fast, robust, and accurate in standard conditions, Partial Shading Conditions (PSCs), and irradiance variations. Also, the results reveal a remarkable improvement in the performance when we compare the SHO algorithm with the Grey Wolf Optimization (GWO) algorithm and the Perturb and Observe (P&O) algorithm.

Research paper thumbnail of On the enhancement of dc/dc converters dynamics using Gorilla Troop Optimizer based controller design

All Sciences Abstracts

DC/DC converters can exhibit highly nonlinear responses when their parameters are changed, such a... more DC/DC converters can exhibit highly nonlinear responses when their parameters are changed, such as bifurcation, quasi-periodic, and chaotic responses. In these cases, it is difficult to predict and control the converter's behavior. This paper explores the nonlinear behaviors of a DC/DC buck converter when its parameters are changed (Load, input voltage etc.). The phase plane and the bifurcation diagram are used to identify the various periodicities of the limit cycles. To address this, a solution based on the Gorilla troop optimizer (GTO) is proposed and simulated in MATLAB. Results demonstrate the use of a Aquila optimizer-based controller design can eliminate nonlinear phenomena in DC/DC converters and provide an efficient and cost-effective solution.

Research paper thumbnail of Control of Three-level Four Wire Shunt Active Power Filter in Grid Connected PV-Fuel Cell System Employing Model Predictive Current Control Strategy

All Sciences Abstracts

In this paper a Model Predictive Current Control (MPCC) of Four Wire Shunt Active Power Filter (4... more In this paper a Model Predictive Current Control (MPCC) of Four Wire Shunt Active Power Filter (4WSAPF) with Photo Voltaic (PV) system is proposed. The shunt active power filter requires an energy source to correct distortions in the current, and it utilizes a photovoltaic array with a DC-DC boost converter as a source of DC power. this study presents the application of a Particle Swarm Optimization (PSO) maximum power point tracking (MPPT) technique to the DC-DC boost converter, aiming to obtain the highest possible power from the photovoltaic array. The reference signal for the SAPF is obtained from the pqr theory. To fulfil the requirement of the active power filtering function under balanced, unbalanced, and distorted (including 3rd and 5th harmonics) power supply voltages, the inverter switching state control has been achieved based on MPCC. The effectiveness of the proposed configuration is verified through results obtained from simulation studies conducted in the MATLAB/Simul...

Research paper thumbnail of Maximum Power Point Tracking for Photovoltaic System under Partial Shading Conditions using Aquila Optimizer Algorithm

All Sciences Abstracts

The output of photovoltaic (PV) systems can be affected by inconsistent irradiance, temperature, ... more The output of photovoltaic (PV) systems can be affected by inconsistent irradiance, temperature, and unexpected weather conditions, classified as partial shading conditions (PSC). To address these difficulties, this work applies an Aquila optimizer algorithm (AO), a bio-inspired meta-heuristic algorithm, to track the multiple-peak P–V curve in PV systems under such PSCs. The results of the AO algorithm were found to be highly efficient, reliable, and precise in normal conditions, PSCs, and fluctuations in irradiance. Additionally, the AO algorithm was shown to have a much better performance when compared to the particle swarm optimization algorithm (PSO) and perturb and observe (P&O) algorithm. The work was validated and executed using MATLAB/Simulink software.

Research paper thumbnail of Shifting of Nonlinear Phenomenon in the Boost converter Using Aquila Optimizer

The Journal of Engineering and Exact Sciences

Power electronics circuits are characterized by nonlinear dynamics, because of the cyclic switchi... more Power electronics circuits are characterized by nonlinear dynamics, because of the cyclic switching between a finite number of topologies, which can give rise to a variety of behaviors. DC/DC converters are prone to nonlinear phenomena, such as bifurcations, quasi-periodic and chaotic responses, which can make it difficult or even impossible to analyze, predict, and control the converter's behavior. This paper offers an examination of the chaotic behavior of the DC/DC boost converter and suggests an optimized PID controller as solution to the nonlinear phenomena. Aquila optimizer AO is employed to determine the ideal parameters for the controller by computing the discrepancy between the reference current and the value of the inductor current, as well as the discrepancy between the inductor current readings during switch openings. The simulation results using MATLAB demonstrate the effectiveness of the proposed solution.

Research paper thumbnail of Chaos Elimination for a Buck Converter Using the Multi-Objective Grey Wolf Optimiser

Power Electronics and Drives

A wide variety of nonlinear phenomena, such as bifurcation and chaos, have been observed in power... more A wide variety of nonlinear phenomena, such as bifurcation and chaos, have been observed in power electronics converters. Much research has been conducted on these behaviours in different converter topologies. The buck converter is known to exhibit chaotic behaviour in a wide parameter range, giving rise to unstable behaviours depending on the circuit parameters values. This paper investigates this bifurcation behaviour by varying the parameters of a voltage PI (Proportional Integral) controlled buck converter operating in continuous conduction mode, using a continuous-time model and constant frequency control signal. Furthermore, a novel and improved version of the PI compensation technique, designed using the multi-objective grey wolf optimiser (MOGWO), is proposed to stabilise the buck converter from chaotic state to periodic orbit.