Abstract

This paper focuses on parameter identification of mesh distribution grids. In order to tune secondary level controllers, accurate microgrids models, in terms of topology and impedances values, are needed. Furthermore, an efficient energy management strategy relays on the correct estimation of the load behavior considering only measurable signals. We apply the well known Recursive Least Squares (RLS) methodology to identify the complex admittances of the lines between, and loads at, nodes where voltage and current measurements are available. The proposed algorithm has little communication requirements as the signals can be sampled at low frequencies compared with the grid standard. The relatively low computation load of the algorithm makes it suitable for on-line implementation on real time. The main characteristics of the methodology are illustrated with help of simulation examples. Copyright (C) 2020 The Authors.