Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Efficient Robust Approach to the Day-ahead Operation of an Aggregator
  of Electric Vehicles   The growing use of electric vehicles (EVs) may hinder their integration into
the electricity system as well as their efficient operation due to the
intrinsic stochasticity associated with their driving patterns. In this work,
we assume a profit-maximizer EV-aggregator who participates in the day-ahead
electricity market. The aggregator accounts for the technical aspects of each
individual EV and the uncertainty in its driving patterns. We propose a
hierarchical optimization approach to represent the decision-making of this
aggregator. The upper level models the profit-maximizer aggregator's decisions
on the EV-fleet operation, while a series of lower-level problems computes the
worst-case EV availability profiles in terms of battery draining and energy
exchange with the market. Then, this problem can be equivalently transformed
into a mixed-integer linear single-level equivalent given the totally
unimodular character of the constraint matrices of the lower-level problems and
their convexity. Finally, we thoroughly analyze the benefits of the
hierarchical model compared to the results from stochastic and deterministic
models.

18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
1
The categories of this paper are: cs
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg