Operational constrained nonlinear modeling and identification of active distribution networks

Abstract

This paper proposes a methodology for the identification of equivalent models of active distribution networks. Due to the increasing installation of distributed generation plants, distribution networks are acquiring an “active” role in the management of the overall power system. In this context, equivalent modeling is becoming essential for allowing transmission system operators to expand the system observability and improve the interoperability with distribution system operators. The present paper proposes a nonlinear model and an identification procedure able to take into account the prior knowledge of a given active distribution network. The result is an equivalent model, which can be easily adapted for reproducing the dynamical behavior of the network with different configurations. The proposed approach is validated through a simulation study on a Benchmark Medium Voltage Active Network.