The objective of this paper is to develop a novel combined MPPT-pitch angle robust control system of a variable-speed wind turbine. The direct driven wind turbine using the permanent magnet synchronous generator (PMSG) is connected to the grid by means of fully controlled frequency converters, which consist of a pulse width-modulation PWM rectifier connected to an inverter via an intermediate DC bus. In order to maximize the exploited wind power and benefit from a wide range of the wind speed, a novel combined maximum power point tracking (MPPT)-Pitch angle control is developed using only one low cost circuit based on Neural Network (ANN), which allows the PMSG to operate at an optimal speed to extract maximum power when this last is lower than nominal power, and limit the extra power. To achieve feeding the grid with high-power and good quality of electrical energy, the inverter is controlled by (PWM) in a way to deliver only the active power into the grid, and thus to obtain a unit power factor. DC-link voltage is also controlled by the inverter. The dynamic and steady-state performances of the wind energy conversion system (WECS) are carried by using Matlab Simulink.

One of the most frequent faults in PMSM stator is the insulation failure due to the degradation of the main isolation in the motor winding. This paper is aimed at suggesting a dynamic model of PMSM with phase-to-phase fault based on an equivalent electric circuit model including the real form of back EMF. The faulty model is used for studying the machine behavior and extracting the fault signatures for diagnosis. Two diagnostic techniques the Spectral Analysis (ESA) and Extend Park's Vectors Approach (EPVA) based on frequency analysis are applied to detect this kind of fault.

This paper presents an effective control of a stand-alone batteryless photovoltaic (PV) pumping system. The whole design (configuration and control) is oriented in order to minimize the cost and maximize the effectiveness, the efficiency and the reliability of the whole system. Beyond the withdrawal of the battery and the rotor speed sensor, the system is composed only of a DC-DC boost converter, a DC-AC inverter, an Induction Motor (IM) and a centrifugal pump. In order to control the dc-link voltage and maximize the efficiency of the IM, a Fuzzy Logic Controller (FLC) is introduced. The validity and the effectiveness of the proposed FLC is tested and confirmed by a simulation under various climate changes.

This paper deals with load side management strategy for (photovoltaic–wind–diesel) hybrid system for medium rural health building located in the Sahara region. The paper presents an overview about geographic and climate data of the location and develops a typical load profile of electrical energy, depending on a real investigation of daily electricity consumption. The base of the proposed management strategy is the control of the air conditioning system and the non-critical lighting of the building as they consume more than 50% of the total power consumption. The result shows that the reduction in the peak consumption is about 20% using the proposed management strategy, which has significant economical, technical, and environmental benefits