Efficient PMSG wind turbine with energy storage system control based shuffled complex evolution optimizer

Hachana, Oussama; Meghni, Billel; Benamor, Afaf; Toumi, Ilham

doi:10.1016/j.isatra.2022.05.014

Cited by 11 publications

(6 citation statements)

References 41 publications

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“…Finally, to verify the effectiveness of the proposed SCE based controller, several well-known algorithms have been tested under various operating conditions. The results confirm the superiority of the proposed SCE algorithm among the competing algorithms (Hachana et al 2022).…”

Section: Sce-ua Algorithmsupporting

confidence: 72%

Simulation–optimization model for the structural design of cantilever retaining walls

Shenouda,

Ali

2024

Asian J Civ Eng

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With the increasing trend of retaining wall construction in Egypt there is a need to reduce their construction costs. There are many types of retaining walls, cantilever, counterfort, buttressed and tied back walls. The common elements between all these types are the stem and the base. The cost of a retaining wall depends primarily on its material and secondarily on Excavation and backfill works. In this study, a new model is implemented in MATLAB to achieve the optimal design of the cantilever retaining wall elements. The design model is coupled with the shuffled complex evolution algorithm, developed at the University of Arizona (SCE-UA). This developed framework was applied to an existing model used by other researchers to demonstrate its efficiency and to obtain the most economical solution. The results proved that using the SCE-UA method provides superior results compared to those of other algorithms.

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Section: Sce-ua Algorithmsupporting

confidence: 72%

Simulation–optimization model for the structural design of cantilever retaining walls

Shenouda,

Ali

2024

Asian J Civ Eng

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“…The control system then adjusts the generator speed by controlling the PWM converter, aiming to achieve the maximum utilization of wind energy. This method enhances the efficiency and performance of small wind power generation systems by dynamically adapting to changing wind conditions and optimizing power generation at the maximum power point [10] .…”

Section: Figure 1 Graph Of Wind Energy Utilization Coefficient C Vers...mentioning

confidence: 99%

Maximum Power Point Tracking Based on Wind Speed Prediction

Peng,

Wang,

Xie

et al. 2023

J. Phys.: Conf. Ser.

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A control method for MPPT (maximum power point tracking) based on wind speed prediction is proposed to address the issue of slow attainment of optimal speed values by wind turbines in variable wind speed conditions in the wind power system. Initially, the wind speed variation value is accurately estimated using the SSA-BP neural network based on historical wind speed data. Subsequently, the MPP (maximum power point) is calculated considering the optimal blade-tip speed ratio, thereby enhancing the tracking speed of the system. Simulation results demonstrate that this method enables real-time estimation of wind speed variation, improves wind energy utilization rate, and maximizes the utilization of wind energy.

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“…In this section, the suggested SOSMC is divided into two parts, each one based on the super twisting (ST) algorithm as used in [75,76].…”

Section: A Design Of a High-order Sliding Mode Controllermentioning

confidence: 99%

Power Management Optimization of HES Connected to the Grid-Based IEMS

BOUTHIBA,

MEGHNI,

TALEB

et al. 2023

IJETAE

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This paper presents a study of a grid-connected hybrid energy system (HES) consisting of photovoltaic/wind/fuel cell/battery/supercapacitor (SC). The purpose of using SC with the battery is to create a hybrid energy storage system (HESS) with high energy density. To prevent overcharging of the latter, a discharge load was employed (in our case, a resistance). The objectives of this research are to operate the photovoltaic generator and the wind power generator at their maximum power points by applying the perturbation and observation (P&O) technique and the tip speed ratio (TSR) technique, respectively. On the other hand, the energy management of the proposed system aims to achieve an energy balance between the grid and the HES despite climate changes and changes in energy demand to which the system is exposed, and to lengthen the life cycle of the HESS by keeping the state of charge (SOC) within a limited range. This management is accomplished by using a classical energy management strategy. To achieve optimal power management of the proposed system, a new intelligent energy management strategy (IEMS) based on the FLC-FOPI is proposed. A comparative analysis was also conducted between the classical strategy and the proposed strategy. As for the grid-side converter, direct power control based on SOSMC technique (DPC-SOSMC) has been proposed to regulate the flow of active and reactive power according to grid demand based on HRES. To demonstrate the effectiveness of the proposed controllers, simulation results evaluating the proposed system under variable conditions are presented using the Matlab-Simulink platform.

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Efficient PMSG wind turbine with energy storage system control based shuffled complex evolution optimizer

Cited by 11 publications

References 41 publications

Simulation–optimization model for the structural design of cantilever retaining walls

Simulation–optimization model for the structural design of cantilever retaining walls

Maximum Power Point Tracking Based on Wind Speed Prediction

Power Management Optimization of HES Connected to the Grid-Based IEMS

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