Bayesian approach for distribution system state estimation

Abstract

When dealing with the new Smart Grid scenario, it is clear that the distribution grid will play a fundamental role. Indeed, the most important changes in the electric system will probably concern the distribution network [1], which was traditionally considered mainly a passive infrastructure but, in the last decade, underwent strong transformations, pushed by market liberalisation and technological evolution. Distributed generation (DG) has already become one of the key factors of the new paradigm, and thus distribution grids can no longer be conceived only as a mean to transfer energy from transmission network to the users. Possible bidirectional flows must be considered by every new approach to network management and control, which will rely on the contribution from all the different and fast changing players interfaced with the network.

Authors 4

1. Marco Pau Aachen E.ON Energy Research Center Institute for Automation of Complex Power Systems

   University of Cagliari · RWTH Aachen University

   Affiliation as printed

   Department of Electrical and Electronic Engineering

   E.ON Energy Research Center, Institute for Automation of Complex Power Systems

   RWTH Aachen University

   University of Cagliari

   E.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, , Germany

2. Paolo Attilio Pegoraro Aachen

   University of Cagliari · RWTH Aachen University

   Affiliation as printed

   Department of Electrical and Electronic Engineering

   E.ON Energy Research Center, Institute for Automation of Complex Power Systems

   RWTH Aachen University

   University of Cagliari

   Department of Electrical and Electronic Engineering, University of Cagliari, , Italy

3. Ferdinanda Ponci Aachen E.ON Energy Research Center Institute for Automation of Complex Power Systems

   University of Cagliari · RWTH Aachen University

   Affiliation as printed

   Department of Electrical and Electronic Engineering

   E.ON Energy Research Center, Institute for Automation of Complex Power Systems

   RWTH Aachen University

   University of Cagliari

   E.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, , Germany

4. Sara Sulis Aachen

   University of Cagliari · RWTH Aachen University

   Affiliation as printed

   Department of Electrical and Electronic Engineering

   E.ON Energy Research Center, Institute for Automation of Complex Power Systems

   RWTH Aachen University

   University of Cagliari

   Department of Electrical and Electronic Engineering, University of Cagliari, , Italy