The integration of photovoltaic (PV), intermittent and uncontrollable power, into the electrical grid has become one of the major challenges for power system operators. Therefore the PV power forecasting can be beneficial in system planning and balancing energies. In this paper the PV power forecasting of a real generator [1] is presented. Different Artificial Neural Networks (ANN) strategies are used to forecast the PV power from meteorological variables, the radiation and the temperature. Simulation results correspond to each ANN strategy are presented, discussed and compared. The Nonlinear Auto Regressive models with eXogenous input (NARX model) is the dynamic ANN chosen to use in this work. Its performances have proved in the different time frame PV power forecasting. The impact of type season's on PV power forecasting performances is also presented in the second part of this paper.
This paper presents the application of an adaptive neuro-fuzzy inference system (ANFIS) for an induction motor for speed estimation. Due to the drawbacks of the mechanical sensors, ANFIS (neuro-fuzzy inference adaptive system) speed observer is developed and it is based on artificial intelligence technique combining the concepts of fuzzy inference systems and neuron networks. The ANFIS rotor speed estimator depends only on measurable stator quantities (voltages and currents) that are easily accessible, hence the easy implementation in practice and thus reduces the cost since there is no need to the speed sensor. In addition, this work deals also with the vector controlled induction motor using stator field orientation (SFO). It is well known that the vector control strategy is based on the simultaneous determination of the magnitude and argument of the flux vector. This control method gives an effective solution that provides decoupling between the flux and torque of an induction motor, hence overcoming the complex control obstacle of this type of machines. Simulations to evaluate the performance of the estimator considering the vector drive system were done from the Matlab/Simulink software.
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