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With the development of electronics and communications and to be conveyed with that development and the importance of smart grid, in this research a study of the generation domain with smart technologies is used. Also the renewable energy used as an alternative energy with controller by using a programmable card to control and improve power efficiency of generation by increasing energy generation to match the population increases and requirements.A smart grid (SG), which is also called a power grid or smart electrical grid proposed for stability enhancement and as a solution to generate more energy to meet the increase in demand for power generation, as abbreviations it couldn't specify by one tool or one part of electrical grid where there are many methods to achieve the goal of the smart grid, but this paper aims to present a generation part with smart techniques. Recently, it was heading to rely on renewable energies as an alternative energy because it is a clean source to generate energy and available source, and since research has proven the efficiency of solar energy in Iraq more than wind energy, the solar source suggested as an alternative source for energy generation.

[7] proposed a method developed which dependent on enhanced genetic algorithm for the determination of the optimal position of tie and sectionalizing switches, and to provide the network with optimal efficiency. [...]in this paper, the reconfiguration is applied using Newton Raphson (NR) method based on binary particle swarm optimization (BPSO) with three different cases of loads, constant and variable loads with regulation ratio (nominal load 100%, light load 50%, and heavy load 160%). Gauss-Seidel load flow solution tends to be useful in smaller systems, but as the system size increases, the computation time increases. [...]the fast decoupled load flow and the Newton Raphson methods are more common methods in large systems. Another study of the forward/backward methods (a popular power flow method applied to distribution systems) are capable of performing power flow analysis, however, it is limited to radial networks and does not have the ability to consider the influence of distributed generation, On the other hand, NR method typically can deal with any topology type (i.e. radial, weakly meshed and meshed) and can consider the influence of distributed generation, the formulation and origin of the NR approach has been dated back to the late 1960's [14].

Wind energy is a promising source of electricity in the world and fastest-growing. Doubly-Fed Induction Generator (DFIG) systems dominate and widely used in wind power system because of their advantages over other types of generators, such as working at different speeds and not needing continuous maintenance. In this paper used the PI controller and Flexible AC Transmission System (FACTS) device specifically static compensator (STATCOM) to investigate the effect of the controller and FACTS device on the system. PI controller tuning by Particle Swarm Optimization technique (PSO) to limit or reduced the fault current in (DFIG) system. The responses of different kinds of faults have been presented like; two lines to ground faults and three lines to ground faults at different operating conditions. Faults are applied to three proposed controllers; the first controller is the Proportional-Integral (PI), the second controller is PI-controller based on Particle Swarm Optimization (PI-PSO) technique and STATCOM. A reactive power static synchronous compensator (STATCOM) is used, the main aim for the use of STATCOM is to improve the stability of a wind turbine system in addition to this is improving voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines. The simulation programming is implemented using MATLAB program.