Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A privacy-preserving distributed computational approach for distributed
  locational marginal prices   An important issue in today's electricity markets is the management of
flexibilities offered by new practices, such as smart home appliances or
electric vehicles. By inducing changes in the behavior of residential electric
utilities, demand response (DR) seeks to adjust the demand of power to the
supply for increased grid stability and better integration of renewable
energies. A key role in DR is played by emergent independent entities called
load aggregators (LAs). We develop a new decentralized algorithm to solve a
convex relaxation of the classical Alternative Current Optimal Power Flow
(ACOPF) problem, which relies on local information only. Each computational
step can be performed in an entirely privacy-preserving manner, and system-wide
coordination is achieved via node-specific distribution locational marginal
prices (DLMPs). We demonstrate the efficiency of our approach on a 15-bus
radial distribution network.

6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex