Optimal Meter Placement for Distribution System State Estimation: A Global Sensitivity Analysis-Based Framework

IEEE International Workshop on Applied Measurements for Power Systems (AMPS), pp. 01–06

Abstract

Distribution grids require accurate monitoring to enable the smart control of flexible resources and the efficient integration of renewable energies. In this context, the progressive upgrade of the measurement infrastructure in the grid is essential to enhance the accuracy and reliability of the monitoring results. This paper presents a global sensitivity analysis-based framework aimed at the definition of (near-)optimal meter placement strategies. The use of global sensitivity analysis as underlying methodology offers some important benefits, such as computational efficiency, agnosticism to the adopted state estimation formulation and possibility to duly consider the impact of different uncertainty sources. Moreover, the paper investigates the effects of different metrics for the selection of the best meter placement actions. Tests performed on an exemplary medium voltage grid show the application of the devised meter placement technique and highlight the value behind the proposed approach.

Authors 4

1. Mirko Ginocchi Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems RWTH Aachen University,Aachen,Germany

   Institute for Automation of Complex Power Systems RWTH Aachen University, Aachen, Germany

2. Marco Pau

   Fraunhofer Institute for Energy Economics and Energy System Technology

   Affiliation as printed

   Fraunhofer Institute for Energy Economics and Energy System Technology,Kassel,Germany

   Fraunhofer Institute for Energy Economics and Energy System Technology, Kassel, Germany

3. Ferdinanda Ponci Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems RWTH Aachen University,Aachen,Germany

   Institute for Automation of Complex Power Systems RWTH Aachen University, Aachen, Germany

4. Antonello Monti Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems RWTH Aachen University,Aachen,Germany

   Institute for Automation of Complex Power Systems RWTH Aachen University, Aachen, Germany