Ahmed A. El-Sattar

TL;DR: An adaptive droop scheme for dc microgrids to overcome the non-linearity of the system is presented and the sliding mode control, which is distinguished by robustness and fast dynamic response, is utilized to manipulate the output voltage and the input current of each converter, instantaneously.

TL;DR: In this article, the performance of a doubly fed induction generator (DFIG) variable speed wind turbine under network fault is studied using simulator developed in MATLAB/SIMULINK.

TL;DR: In this paper, a non-linear control technique using Improved Particle Swarm Optimization (IPSO) of a two-stage three-phase photovoltaic (PV) system connected to the grid through an isolated high frequency DC-DC full bridge converter and a three phase three level neutral point clamped DC-AC converter with output power control under severe faults of grid voltage.

TL;DR: In this article, the authors proposed a novel hybrid centralized and distributed control of hybrid renewable energy system consisting of AC/DC micro grids An Interlinking Converter ( IC) is used to connect both sides of the micro grid systems together Improved Particle Swarm Optimization (IPSO) is employed to control the power of the sources based on IC control also, there are different slave controllers for 100kW photovoltaic, fuel cells and 100 kW wind, which are designed to supply continuous load power Coordination between two grids is satisfied through droop control for both AC

TL;DR: In this paper, the authors proposed an energy optimized control scheme for a transformerless dynamic voltage restorer (DVR) which is based on a cascaded H-bridge multilevel inverter topology to eliminate the need of insertion transformers.