Fuzzy Logic Based P/Q Control Design for Grid- Connected Wind conversion System

Abstract

In grid-connected wind conversion systems, traditionally control characterizes by fixed gain Proportional Integral Derivative (PID) regulators. Conventional PID control laws provide good results in case of linear systems with constant parameters. In heather land, these control laws are limited in robustness and effectiveness especially in cases of non linear systems. However, in electrical system control, robustness is of particular very importance. This paper investigates the performance of fuzzy logic controllers (FLCs) applied in grid-connected wind generator to improve performances of control. This purpose needed to achieve good performances of reactive power (Q) compensation. This work at first presents a simple control algorithm for active (P) and reactive power based on PI controllers in which an inverter designed can synchronize a sinusoidal current output with a voltage grid. The controller feeds maximum active power into grid at unity power factor, whereas it also allows the adjustment of reactive power injected into the grid. In the second phase of the study, FLCs changes PIs regulators for improve performance of power control. Simulation results confirm that the intelligent control system has good performances.