Anti-Islanding Protection Using Histogram Analysis in Self Excited Generations Wind Turbines

ABSTRACT: Increasing distributed resources create many problems in power systems. One of these problems is unwanted islanding phenomenon. Due to several reasons concerning such as personnel and equipment safety, this condition should be detect in the fastest possible time. This paper is proposed a novel passive islanding detection algorithm based on voltage histogram analysis for wind turbines. The proposed method measures the voltage signal of wind turbine and detects islanding condition based on its mean square error. In order to reliable and fast detection, the sampling window is selected from system time constant in islanding mode. The presented studies are based on time-domain simulations using MATLAB, The results evaluation confirm that the proposed islanding detection method succeeds in detecting islanding mode from other switching conditions. Other contributed of proposed method is non-detection zone reduction of the system and also the reliability and fastness of detection process is increased.