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All Journal International Journal of Applied Power Engineering (IJAPE)
Ali, Mahmoud N.
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Electrical & Electronics Engineering

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INVESTIGATION OF DIFFERENT DESIGNS OF ARTIFICIAL NEURAL NETWORK FOR MAXIMUM POWER POINT TRACKING OF GRID CONNECTED PV SYSTEM ALI, Mahmoud N.
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

This paper aims at increasing the PV system efficiency through the design of the Artificial Neural Network (ANN) for maximum power point tracking (MPPT) of gridconnected PV systems. The main effective factors for efficiency increase is to design an accurate tracker of maximum power point. Some conventional methods, suchas the perturb-and-observe (P&O) and the incremental conductance (IC), are widelyused for MPPT. The artificial intelligence can substitute these conventional methodsto produce a precise MPPT system. The artificial neural network (ANN) is investigated, in this paper, to compare between different designs to maximize the output dcpower of PV array. One hidden layer with different number of neurons, two hiddenlayers and a modified criterion for improving the learning process are the proposeddesigns of ANN for MPPT. The IC method is used as a base case to be compared forthe clarification of the improvement achieved using the ANN as an MPP tracker.
Towards An Accurate Modeling of Frequency-dependent Wind Farm Components Under Transient Conditions Abd-Allah, M. A.; Ali, Mahmoud N.; Said, A.
International Journal of Applied Power Engineering (IJAPE) Vol 3, No 2: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.857 KB) | DOI: 10.11591/ijape.v3.i2.pp90-104

Abstract

Frequency dependence complete model is set up for describing the lightning transient behavior of the wind turbines (WTs).To get an appropriate wind turbine model, a high frequency models of surge arrester protecting the boost transformer, transformer and ground electrode soil ionization are implemented. The transient responses and Ground Potential Rise (GPR) can be obtained at different locations in the WTs and connected grid in the time domain as well as in the frequency domain using Fast Fourier Transform (FFT). To check the validity of the model, Surge arresters protection level at different locations, at i.e. LV, MV and HV, is compared with ABB manufacture data sheet, Also a comparison has been made between simple and frequency dependence model of overall wind farm components using ATP/EMTP. This paper provides an accurate simulation of wind farm components under transient condition.
Co-Authors A. Said M. A. Abd-Allah