Mohamed F. El-Naggar

TL;DR: In this paper, an Artificial Neural Network (ANN) approach is proposed to estimate the IFT of transformer oil using ultraviolet-to-visible (UV-Vis) spectroscopy.

TL;DR: In this article, an artificial intelligence technique was used to estimate high frequency electric circuit parameters from transformer FRA signature, and the robustness of the proposed technique was assessed through its application on three, 3-phase power transformers of different ratings, sizes, and winding structures.

TL;DR: In this paper, the static synchronous compensator (STATCOM) is considered for both improving the performance of a hybrid system, which contains WECS and photovoltaics (PVs) against wind gusts and maintaining the continuous operations of RESs during three-phase fault occur at the point of common coupling (PCC) between the RESs and the grid.

TL;DR: The presented MOPSO has the ability to minimise the operation cost of the MG with respect to the renewable penetration, the fluctuation in the generated power, uncertainty in power demand, and continuous change of the utility market price.

TL;DR: In this article, the authors presented a cost-effective design of a grid-tied, hybrid green energy system (GES) consisting of wind, PV, and batteries considering the influence of the grid availability.