Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sensor Placement for Outage Identifiability in Power Distribution
  Networks   Accurate topology information is critical for effective operation of power
distribution networks. Line outages change the operational topology of a
distribution network. Hence, outage detection is an important task. Power
distribution networks are operated as radial trees and are recently adopting
the integration of advanced sensors to monitor the network in real time. In
this paper, a dynamic-programming-based minimum cost sensor placement solution
is proposed for outage identifiability. We propose a novel formulation of the
sensor placement as a cost optimization problem involving binary placement
decisions, and then provide an algorithm based on dynamic programming to solve
it in polynomial time. The advantage of the proposed placement strategy is that
it incorporates various types of sensors, is independent of time varying load
statistics, has a polynomial execution time and is cost effective. Numerical
results illustrating the proposed sensor placement solution are presented for
multiple feeder models including standard IEEE test feeders.

20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
3
The categories of this paper are: physics