Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-agent maintenance scheduling based on the coordination between
  central operator and decentralized producers in an electricity market   Condition-based and predictive maintenance enable early detection of critical
system conditions and thereby enable decision makers to forestall faults and
mitigate them. However, decision makers also need to take the operational and
production needs into consideration for optimal decision-making when scheduling
maintenance activities. Particularly in network systems, such as power grids,
decisions on the maintenance of single assets can affect the entire network and
are, therefore, more complex. This paper proposes a two-level multi-agent
decision support systems for the generation maintenance decision (GMS) of power
grids in an electricity markets. The aim of the GMS is to minimize the
generation cost while maximizing the system reliability. The proposed framework
integrates a central coordination system, i.e. the transmission system operator
(TSO), and distributed agents representing power generation units that act to
maximize their profit and decide about the optimal maintenance time slots while
ensuring the fulfilment of the energy demand. The objective function of agents
(power generation companies) is based on the reward and the penalty that they
obtain from the interplay between power production and loss of production due
to failure, respectively. The optimal strategy of agents is then derived using
a distributed algorithm, where agents choose their optimal maintenance decision
and send their decisions to the central coordinating system. The TSO decides
whether to accept the agents' decisions by considering the market reliability
aspects and power supply constraints. To solve this coordination problem, we
propose a negotiation algorithm using an incentive signal to coordinate the
agents' and central system's decisions such that all the agents' decisions can
be accepted by the central system. We demonstrate the efficiency of our
proposed algorithm using a IEEE 39 bus system.

16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol