Mustafa Mohamed Mustafa Ali

• Assistant Lecturer, Mechanical Eng. Dept., South Valley University
• Lecturer at South Valley University

According to its various features, the solar photovoltaics (PV) system is realized as a significant promising energy source to cope with energy shortcomings and environmental impacts like contamination. Therefore, it is mandatory to estimate and predict the output power for prediction intervals to avoid any power outage or urgent disturbances in th...

To deal with the challenges of the solar photovoltaic (PV) energy source due to the continuous variations of the climatic conditions such as temperature and solar radiation, output power prediction is one of the most important research trends nowadays. In this paper, a multilayer feedforward neural network (MLFFNN) is executed to foresee the power...

Background: Safety is the very necessary issue that must be considered during human-robot collaboration in the same workspace or area. Methods: In this manuscript, a nonlinear autoregressive model with an exog-enous inputs neural network (NARXNN) is developed for the detection of collisions between a manipulator and human. The design of the NARXNN...

Solar photovoltaics (PV) is considered as an auspicious key to deal with the energy catastrophe and the ecological contamination. This type of renewable energy is based on the climatic conditions to produce the electrical power. In this article, a multilayer feedforward neural network (MLFFNN) is implemented to predict and forecast the output power...

The multilayer feedforward neural network (MLFFNN) is able to predict correctly the solar PV output power.

To treat the stochastic wind nature, it is required to attain all available power from the wind energy conversion system (WECS). Therefore, several maximum power point tracking (MPPT) techniques are utilized. Among them, hill-climbing search (HCS) techniques are widely implemented owing to their various features. Regarding current HCS techniques, t...

To treat the stochastic wind nature, it is required to attain all available power from the wind energy conversion system (WECS). Therefore, several maximum power point tracking (MPPT) techniques are utilized. Among them, hill-climbing search (HCS) techniques are widely implemented owing to their various features. Regarding current HCS techniques, t...

To treat the stochastic wind nature, it is required to attain all available power from the wind energy conversion system (WECS). Therefore, several maximum power point tracking (MPPT) techniques are utilized. Among them, hill-climbing search (HCS) techniques are widely implemented owing to their various features. Regarding current HCS techniques, t...

One of the main aims of the wind energy conversion systems (WECSs) is to obtain the maximum power point and maintained it constant in the design limits range with wind speed fluctuations. Different traditional control methods have been implemented to attain this objective. The robust auto-tuning AF-PI controller is capable of controlling the comple...

To eliminate problems of traditional perturb and observe (TPO) maximum power point tracking (MPPT) relying on large scale variable speed wind energy conversion system (VS-WECS), this paper suggests a variable-step size perturb and observe (VS-PO) MPPT algorithm. The VS-PO technique is performed to split the power-speed (P-ω) curve with four segment...

Abstract- This paper presents an advanced pitch angle control for large scale Wind Energy Conversion System (WECS) based on a Doubly-Fed Induction Generator (DFIG). Blade Pitch angle control is the extremely popular techniques for regulating the aerodynamic power of the wind turbine and minimize aerodynamic fatigue when the wind speed is higher tha...

Extracting the maximum energy generated from wind turbines and maintaining their value within the safe limits is the most requesting goal for the wind energy conversion systems. Different traditional control techniques were accomplished to achieve this goal. In this study, the Adaptive fuzzy-PID (AF-PID) controller is applied to control the complex...