Skip to Main content Skip to Navigation
Conference papers

Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms

Edgar Galván-López 1 Marc Schoenauer 1 Constantinos Patsakis 2
1 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : Evolutionary Algorithms (EAs), or Evolutionary Computation, are powerful algorithms that have been used in a range of challenging real-world problems. In this paper, we are interested in their applicability on a dynamic and complex problem borrowed from Demand-Side Management (DSM) systems, which is a highly popular research area within smart grids. DSM systems aim to help both end-use consumer and utility companies to reduce, for instance, peak loads by means of programs normally implemented by utility companies. In this work, we propose a novel mechanism to design an autonomous intelligent DSM by using (EV) electric vehicles' batteries as mobile energy storage units to partially fulfill the energy demand of dozens of household units. This mechanism uses EAs to automatically search for optimal plans, representing the energy drawn from the EVs' batteries. To test our approach, we used a dynamic scenario where we simulated the consumption of 40 and 80 household units over a period of 30 working days. The results obtained by our proposed approach are highly encouraging: it is able to use the maximum allowed energy that can be taken from each EV for each of the simulated days. Additionally, it uses the most amount of energy whenever it is needed the most (i.e., high-peak periods) resulting into reduction of peak loads.
Document type :
Conference papers
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal.inria.fr/hal-01254912
Contributor : Marc Schoenauer <>
Submitted on : Tuesday, January 12, 2016 - 6:37:53 PM
Last modification on : Wednesday, October 14, 2020 - 3:56:58 AM
Long-term archiving on: : Saturday, April 16, 2016 - 4:40:31 AM

File

Galvan_ECTA_2015.pdf
Files produced by the author(s)

Identifiers

Citation

Edgar Galván-López, Marc Schoenauer, Constantinos Patsakis. Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms. 7th International Joint Conference on Computational Intelligence (IJCCI 2015) , Nov 2015, Lisbon, Portugal. pp.106--115, ⟨10.5220/0005607401060115⟩. ⟨hal-01254912⟩

Share

Metrics

Record views

345

Files downloads

444