Dataset for "Coordination of Electric Vehicle Aggregators: A Coalitional Approach" article
DOI: https://doi.org/10.5258/SOTON/D0413


Published by the University of Southampton
Creator: Alvaro Perez-Diaz - a.perez-diaz@soton.ac.uk


This dataset contains all the data needed to reproduce the figures and results in the following paper.

A. Perez-Diaz, E. Gerding, F. McGroarty
"Coordination of Electric Vehicle Aggregators: A Coalitional Approach"
In 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). ACM.


In more detail:

 * dataIN: contains the input historical market data (Nov 2016) from OMIE, both raw files down to order level, and the generated price impact files (source: http://www.omie.es/en/inicio).

 * dataOUT: contains the results from our simulations.
    - coordinationImprovement: results for a multi-aggregator setting in which we compare the energy costs between uncoordinated individual bidding and coordinated bidding in the grand coalition.
    - multiDifferentFlexibility: compare the energy costs of different aggregators with the same size, but with different flexibilities.
    - multiDifferentSize: compare the energy costs of different aggregators with the different sizes and same flexibilities.
    - multiSameSize: compare the run-times of the two proposed payment mechanisms in a multi-aggregator setting where aggregators have the same size and flexibility.

Data collection: from September 2017 to October 2017.
Geographic location of data collection: AIC, University of Southampton, UK
Date the dataset was made available: 15th February 2018.