Load flow studies are one of the basic  aspects of power system planning and operation. Objective of Load Flow Analysis is to provide the system parameters i.e: Complex Voltage, Complex Power P, and consequently currents, voltages in steady state. Load is a static quantity and it is the power that flows through transmission lines, due to which we prefer to call this Power Flow studies rather than load flow studies. Through the load flow studies we obtain the voltage magnitudes and angles at each bus in the steady state. Because the magnitudes of the bus voltages should be held within a specified limit. In addition to it we are using Particle Swarm Optimization Technique (PSO).Particle Swarm Optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. We are applying classical iterative methods Newton Raphson method, and Gauss- Siedel Method with artificial intelligence based algorithm Particle Swarm Optimization (PSO). So our objective is to build algorithm to get optimization of results. For reference we will compare PSO with Gauss- Siedel and Newton-Raphson and also implemented their codes in Matlab Programming

A method to control speed and rotor position with improved performance has been described in this research. Various techniques are taken into consideration with their detailed description. During this process new methods are also introduced with their pros and cons. The research includes a detailed study of progressive back-Emf sensing strategies. The relevant methods, which can support estimation, are the back Emf zero-crossing method, integration of voltage, and position estimation by flux and inductance. In this thesis, Extended Kalman filter is utilized for position and speed estimation. Firstly, DC voltage will be applied as an input. Extended Kalman Filter is used to perform state estimation while PID controller is employed to regulate the system state following the reference signal. The proposed solution leads to control of the ripple generated in speed and torque of Brushless DC Motor and improved performance.