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2015 | 5 | 1781--1792
Tytuł artykułu

GRENAD, a Modular and Generic Smart-Grid Framework

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We present in this paper GRENAD, a Multi- Agent System based framework for the simulation and piloting of power-grids and particularly smart grids. Exploiting a component-based approach, it allows a flexible design of complex smart grid applications by providing a generic canvas where extensible, modular and reusable components, defined on the basis of their functionalities, can be easily combined and connected. Thanks to Multi-Agent approach, a set of such components can naturally be integrated into a coherent economical agent. GRENAD makes no assumption on the energy definition and eases the development of MAS control algorithms for smart grids. The level of details of the energy-related information is controllable. This information is computed either through internal physical models or by interfacing with external simulators. We present here our model, illustrate its features with a rich example which exhibits its genericity, and demonstrate how a coordination protocol can easily be integrated to it.(original abstract)
Rocznik
Tom
5
Strony
1781--1792
Opis fizyczny
Twórcy
  • CEA-LIST
  • Département Métrologie Instrumentation et Information
  • Laboratoire d'Analyse de Données et Intelligence des Systèmes
  • Laboratoire d'Analyse de Données et Intelligence des Systèmes (LADIS)
Bibliografia
  • Kyle Anderson, Jimmy Du, Amit Narayan, and Abbas El Gamal. Gridspice: A distributed simulation platform for the smart grid. In Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), 2013 Workshop on, pages 1-5. IEEE, 2013.
  • BOSCH. Vppm. https://www.bosch-si.com/solutions/energy/virtualpower- plant/virtual-power-plant.html.
  • Georgios Chalkiadakis, Valentin Robu, Ramachandra Kota, Alex Rogers, and Nicholas R. Jennings. Cooperatives of distributed energy resources for efficient virtual power plants. In The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2, AAMAS '11, pages 787-794, Richland, SC, 2011. International Foundation for Autonomous Agents and Multiagent Systems.
  • US DOE. Gridlab-d. http://www.gridlabd.org/.
  • HOMER Energy. Homer. http://www.homerenergy.com/.
  • Ralph Johnson Erich Gamma, Richard Helm and John Vlissides. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley, 1995.
  • ETAP. Etap. http://www.etap.com/.
  • Bou Ghosh, Jingpeng Tang, et al. Agent-oriented designs for a self healing smart grid. In 2010 First IEEE International Conference on Smart Grid Communications, pages 461-466, 2010.
  • TRILLIANT Inc. Trilliant. http://www.trilliantinc.com.
  • Electric Power Research Institute. Esvt. http://www.epri.com/ abstracts/Pages/ProductAbstract.aspx? ProductId=000000003002000312.
  • Tellecom Italia. Jade. http://jade.tilab.com/.
  • J. K. Kok, C. J. Warmer, and I. G. Kamphuis. Powermatcher: Multiagent control in the electricity infrastructure. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS '05, pages 75-82, New York, NY, USA, 2005. ACM.
  • Miran Lipovaca. Learn You a Haskell for Great Good!: A Beginner's Guide. No Starch Press, San Francisco, CA, USA, 1st edition, 2011.
  • Sam Miller. Decentralised coordination of smart distribution networks using message passing. PhD thesis, University of Southampton, February 2014.
  • NEPLAN. Neplan. http://www.neplan.ch/.
  • Manisa Pipattanasomporn, Hassan Feroze, and S Rahman. Multiagent systems in a distributed smart grid: Design and implementation. In Power Systems Conference and Exposition, 2009. PSCE'09. IEEE/PES, pages 1-8. IEEE, 2009.
  • Flexible Power. Powermatcher. http://flexiblepower.github.io.
  • D Pudjianto, C Ramsay, and G Strbac. Virtual power plant and system integration of distributed energy resources. IET RENEWABLE POWER GENERATION, 1:10-16, 2007.
  • Sarvapali D. Ramchurn, Perukrishnen Vytelingum, Alex Rogers, and Nicholas R. Jennings. Putting the 'smarts' into the smart grid: A grand challenge for artificial intelligence. Commun. ACM, 55(4):86-97, April 2012
  • Resilient. Resilient project. http://www.resilient-project.eu/.
  • S Schutte, Stefan Scherfke, and M Troschel. Mosaik: A framework for modular simulation of active components in smart grids. In Smart Grid Modeling and Simulation (SGMS), 2011 IEEE First International Workshop on, pages 55-60. IEEE, 2011.
  • G. M. Team. Electricity and gas supply market report. Technical Report 176/11, The Office of Gas and Electricity Markets (Ofgem), December 2011.
  • Chia-han Yang, Gulnara Zhabelova, Chen-Wei Yang, and Valeriy Vyatkin. Cosimulation environment for event-driven distributed controls of smart grid. Industrial Informatics, IEEE Transactions on, 9(3):1423-1435, 2013.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171422116

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