Identification and Determination of Contribution of Current Harmonics and Unbalanced in Microgrids Equipped with Advanced Metering Infrastructure

The use of distributed generation resources (grid-connected or islanded) such as solar systems and wind turbines in the form of microgrids can solve problems related to traditional power systems. On the other hand, the monitoring of power quality disturbances in microgrids is an important issue for compensating these problems. Among the various types of power quality disturbances, harmonic distortions are important. Accordingly, in this paper, a computational method has been used based on the recursive least squares withthe variable forgetting factor (VFF-RLS). The prominent features of the proposed method are its high accuracy and speed, as well as identification with a low rate of signal samples. The main aim of the proposed method is to identify the contribution and extent of harmonics and unbalanced in a microgrid equipped with Advanced Metering Infrastructure (AMI). In the proposed method, the identification is based on real-time estimation and using measured data with high computational speed and accuracy. The results of simulation by MATLAB software, and as well as the experimental results using the TMS320F2812 digital signal processor (DSP) show the validity of the proposed method.