Microgrid has comes out one of the key spot in research on distributed energy system. Since the definition of Microgrid is paradigm by the first time, investigation in this area is growing continuously and there are numerous research projects in this moment over the world. This paper mainly focused on Power quality improvement in autonomous microgrid. Herein an optimal power control strategy for an autonomous microgrid is carried out in a real time self tuning method. Voltage frequency (Vf) regulation and Harmonic analysis are the main performance parameter which is consider in this work, particularly from grid connected to islanding operation mode. Especial design of controller scheme is composed of an inner current control loop and an outer power control loop in synchronous reference frame. Ant colony optimization (ACO) is an intelligent searching algorithm, which is applied for real time self tuning of control parameter. The simulation result shows that the proposed controller offers an excellent response to satisfy the Power quality improvement.
Power system is a typical nonlinear system and voltage stability is an important subject of power system stability. Lyapunov energy function is an important tool for the determination of stability for nonlinear systems without the need to find exact solution. In this paper, the voltage stability of a single machine infinite bus (SMIB) system is analyzed using Lyapunov's energy function obtained by variable gradient method. Various energy curves for different equilibrium points based on the variation in load angles are obtained which clearly reflects the change in energy content of the system and load voltage in the system.
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