Greedy Placement of Measurement Devices on Distribution Grids based on Enhanced Distflow State Estimation
Paola Paruta, Thomas Pidancier, Mokhtar Bozorg, Mauro Carpita

TL;DR
This paper presents a practical method for optimally placing measurement devices in distribution grids, using an enhanced state-estimation algorithm based on the Distflow model to improve observability in low voltage networks.
Contribution
It introduces a novel placement scheme combined with an improved Distflow-based state estimation that accounts for shunt elements, optimizing measurement device placement.
Findings
Validated on a real-world grid with 85 nodes from Geneva, Switzerland.
Achieved minimal device placement while satisfying observability accuracy requirements.
Demonstrated effectiveness of the approach in practical distribution network scenarios.
Abstract
The needs for improving observability of medium and low voltage distribution networks has been significantly increased, in recent year. In this paper, we focus on practical approaches for placement of affordable Measurement Devices (MDs), which are providing three phases voltage, current, and power measurements with certain level of precision. The placement procedure is composed of a state-estimation algorithm and of a greedy placement scheme. The proposed state-estimation algorithm is based on the Distflow model, enhanced to consider the shunt elements (e.g., cable capacitances) of the network, which are not negligible in low voltage networks with underground cables. The greedy placement scheme is formulated such that it finds the location of minimum required number of MDs while certain grid observability limits are satisfied. These limits are defined as the accuracy of…
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