Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Evaluating the Performance of Distributed Optimal Power Flow Algorithms
  with Nonideal Communication   Power system operators are increasingly looking toward distributed
optimization to address various challenges facing electric power systems. To
assess their capabilities in environments with nonideal communications, this
paper investigates the impacts of data quality on the performance of
distributed optimization algorithms. Specifically, this paper compares the
performance of the Alternating Direction Method of Multipliers (ADMM), Analytic
Target Cascading (ATC), and Auxiliary Principal Problem (APP) algorithms in the
context of DC Optimal Power Flow (DC OPF) problems. Using several test cases,
this paper characterizes the performance of these algorithms in terms of their
convergence rates and solution quality under three data quality nonidealities:
(1) additive Gaussian noise, (2) false data, and (3) intermittent communication
failure.

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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: ao-sci
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The categories of this paper are: stat
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The categories of this paper are: nlin
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The categories of this paper are: dg-ga
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The categories of this paper are: adap-org
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The categories of this paper are: astro-ph
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The categories of this paper are: funct-an
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The categories of this paper are: nucl-ex
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The categories of this paper are: math-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: patt-sol
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The categories of this paper are: mtrl-th
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The categories of this paper are: plasm-ph