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A Testbed for Agent Oriented Smart Grid Implementation

Part of the Lecture Notes in Computer Science book series (LNAI,volume 9318)

Abstract

The aim of this paper is to present a platform for helping agent researchers to become familiar with Smart Grids. Agent technology has been recognised as one of the enablers for Smart Grids. A Smart Grid intends to make an advanced use of available metering and generation capabilities in order to use more efficiently the electricity. Contributions of agent resea1rchers to this domain are still reduced and this may be because of the highly specialised knowledge that is required to run current Smart Grid simulators and the cost of commercial ones. This paper aims to share the experience acquired during a project where distributed control approaches were devised using open source solutions. An important result is a simulator for Smart Grids that facilitates the research of how agents can operate such grids. This paper introduces an example case study and discusses how agents can be applied in these situations.

Keywords

  • Smart Grid
  • Power Line
  • Power Grid
  • Agent Technology
  • Real Time Simulation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgement

This work has been co-funded by the project MIRED-CON IPT-2012-0611-120000, supported by Spanish Ministry for Economy and Competitiveness, and Fondo Europeo de Desarrollo Regional (FEDER). It also has been supported by the Programa de Creación y Consolidación de Grupos de Investigación UCM-Banco Santander, call GR3/14, for the group number 921354 (GRASIA group).

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Correspondence to Jorge J. Gomez-Sanz .

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Gomez-Sanz, J.J., Cuartero-Soler, N., Garcia-Rodriguez, S. (2015). A Testbed for Agent Oriented Smart Grid Implementation. In: Baldoni, M., Baresi, L., Dastani, M. (eds) Engineering Multi-Agent Systems. EMAS 2015. Lecture Notes in Computer Science(), vol 9318. Springer, Cham. https://doi.org/10.1007/978-3-319-26184-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-26184-3_6

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