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On Battery Management Strategies in Multi-agent Microgrid Management

  • Roozbeh MorsaliEmail author
  • Sajad Ghorbani
  • Ryszard Kowalczyk
  • Rainer Unland
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 303)

Abstract

Multi Agent Systems (MAS) have been incorporated in numerous engineering applications including power systems. In recent years, with the advancement in Information and Communication Technology (ICT), Internet of Things (IoT) and smarter devices, this concept has become more and more applicable to grid management. Microgrids, as part of distribution grid are subject to continuous variation in demand, generation and grid conditions. Also, due to private ownership of some or all part of the microgrid (at least in the demand side), and privacy concerns of data transmitted, intelligent and independent agents could be used in management process by representing each component of the grid as an agent. As the importance of storage systems (especially batteries) is increasing with the higher penetration of the renewable energy into the electricity grid, proper battery management becomes vital in efficient microgrid management. In this paper, we focus on battery agent and propose three strategies for battery management in the multi agent based microgrid management framework. We also investigate the effect of each strategy on the total costs as well as the battery itself. In this system, the agents of different components are independent and they collaboratively communicate with each other to fulfil a global objective which is set to be minimising the total costs.

Keywords

Multi-agent systems Microgrid management Battery Management strategy 

Notes

Acknowledgements

This research was partially supported by the Australia-Germany Joint Research Cooperation Scheme.

References

  1. 1.
    Ferber, J., Gutknecht, O., Michel, F.: From agents to organizations: an organizational view of multi-agent systems. In: Giorgini, P., Müller, J.P., Odell, J. (eds.) AOSE 2003. LNCS, vol. 2935, pp. 214–230. Springer, Heidelberg (2004). doi: 10.1007/978-3-540-24620-6_15 CrossRefGoogle Scholar
  2. 2.
    Davis, G.: Integration of distributed energy resources the CERTS microgrid concept (2003)Google Scholar
  3. 3.
    Kantamneni, A., Brown, L.E., Parker, G., Weaver, W.W.: Survey of multi-agent systems for microgrid control. Eng. Appl. Artif. Intell. 45, 192–203 (2015)CrossRefGoogle Scholar
  4. 4.
    Baun, M., Awadallah, M.A., Venkatesh, B.: Implementation of load-curve smoothing algorithm based on battery energy storage system. In: 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1–5. IEEE (2016)Google Scholar
  5. 5.
    Mahmoud, T.S., Habibi, D., Bass, O.: Fuzzy logic for smart utilisation of storage devices in a typical microgrid. In: 2012 International Conference on Renewable Energy Research and Applications (ICRERA), pp. 1–6. IEEE (2012)Google Scholar
  6. 6.
    Alqunun, K., Crossley, P.A.: Rated energy impact of BESS on total operation cost in a microgrid. In: 2016 IEEE Smart Energy Grid Engineering (SEGE), pp. 292–300. IEEE (2016)Google Scholar
  7. 7.
    Yoo, C.H., Chung, I.Y., Lee, H.J., Hong, S.S.: Intelligent control of battery energy storage for multi-agent based microgrid energy management. Energies 6(10), 4956–4979 (2013)CrossRefGoogle Scholar
  8. 8.
    Lagorse, J., Simoes, M.G., Miraoui, A.: A multiagent fuzzy-logic-based energy management of hybrid systems. IEEE Trans. Ind. Appl. 45(6), 2123–2129 (2009)CrossRefGoogle Scholar
  9. 9.
    Li, N., Chen, L., Low, S.H.: Optimal demand response based on utility maximization in power networks. In: 2011 IEEE Power and Energy Society General Meeting, pp. 1–8, July 2011Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Roozbeh Morsali
    • 1
    Email author
  • Sajad Ghorbani
    • 2
  • Ryszard Kowalczyk
    • 1
    • 3
  • Rainer Unland
    • 2
    • 4
  1. 1.Swinburne University of TechnologyMelbourneAustralia
  2. 2.Institute of Computer Science and Business Information SystemsUniversity of Duisburg-EssenEssenGermany
  3. 3.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  4. 4.Department of Information SystemsPoznan University of EconomicsPoznanPoland

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