Multi-Agent Based Smart Grid Management and Simulation: Situation Awareness and Learning in a Test Bed with Simulated and Real Installations and Players

Hugo Morais, Zita Vale, Tiago Pinto, Luis Gomes, Filipe Fernandes, Pedro Oliveira, Carlos Ramos

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The rising usage of distributed energy resources has been creating several problems in power systems operation. Virtual Power Players arise as a solution for the management of such resources. Additionally, approaching the main network as a series of subsystems gives birth to the concepts of smart grid and micro grid. Simulation, particularly based on multi-agent technology is suitable to model all these new and evolving concepts. MASGriP (Multi-Agent Smart Grid simulation Platform) is a system that was developed to allow deep studies of the mentioned concepts. This paper focuses on a laboratorial test bed which represents a house managed by a MASGriP player. This player is able to control a real installation, responding to requests sent by the system operators and reacting to observed events depending on the context.
Original languageEnglish
Title of host publicationIEEE Power and Energy Society General Meeting 2013
Number of pages5
PublisherIEEE
Publication date2013
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Power and Energy Society General Meeting - Vancouver, Canada
Duration: 21 Jul 201325 Jul 2013

Conference

Conference2013 IEEE Power and Energy Society General Meeting
CountryCanada
CityVancouver
Period21/07/201325/07/2013

Keywords

  • Curtailment Service Providers
  • Microgrids
  • Multi-Agent Systems
  • Smart grids
  • Virtual Power Players

Cite this

Morais, H., Vale, Z., Pinto, T., Gomes, L., Fernandes, F., Oliveira, P., & Ramos, C. (2013). Multi-Agent Based Smart Grid Management and Simulation: Situation Awareness and Learning in a Test Bed with Simulated and Real Installations and Players. In IEEE Power and Energy Society General Meeting 2013 IEEE.