STATE ESTIMATION OF LOW VOLTAGE MICROGRID USING AN ITERATIVELY REWEIGHTED LEAST SQUARES METHOD

Higher penetration of small distributed energy resources will impact the low voltage network. As a consequence, better knowledge of real-time operating states of a distribution network is required. The use of an iteratively reweighted least squares state estimation method with real-time and pseudo-measurements obtained from a low-voltage microgrid is investigated. Simulation results for different types of measurements, different measurement configurations, and different time resolutions are reported. Simulation results show that the state estimator can be used effectively to extend the observability of the low voltage microgrid and provide reliable state estimates using different sets of measurements.