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Multi-agent-Based Decision Support Systems in Smart Microgrids

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Intelligent Decision Technologies 2019

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 142))

Abstract

Microgrids are an aggregation concept with the participation of both supply-side and demand-side resources in low-voltage grids. Due to their characteristics and complexity, decision support systems are required for their control and operation. In this paper, a study of recent applications of multi-agent-based decision support systems to operate the microgrids is presented. From the survey material, we concluded that there is a need for interdisciplinary research concerning architecture, frameworks, and software tools required to exploit the full potential of these techniques in microgrids.

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Notes

  1. 1.

    http://jade.tilab.com/.

  2. 2.

    http://www2.econ.iastate.edu/tesfatsi/acecode.htm.

  3. 3.

    http://gama-platform.org/.

  4. 4.

    https://sourceforge.net/projects/jadex/.

  5. 5.

    http://www.jiac.de/.

  6. 6.

    https://pypi.python.org/pypi/SPADE.

  7. 7.

    http://aosgrp.com/products/jack/.

  8. 8.

    http://jacamo.sourceforge.net/.

  9. 9.

    http://jason.sourceforge.net/wp/.

  10. 10.

    http://cartago.sourceforge.net/.

  11. 11.

    http://moise.sourceforge.net/.

  12. 12.

    http://www.gambit-project.org/.

  13. 13.

    http://www.fipa.org/.

  14. 14.

    http://www.omg.org.

  15. 15.

    http://ksl-web.stanford.edu/knowledge-sharing/papers/kse-overview.html.

  16. 16.

    https://www.w3.org/standards/semanticweb/ontology.

  17. 17.

    http://uddi.xml.org/.

  18. 18.

    https://openconnectivity.org/.

References

  1. AlSkaif, T., Zapata, M.G., Bellalta, B., Nilsson, A.: A distributed power sharing framework among households in microgrids: a repeated game approach. Computing 99, 23–37 (2017)

    Article  MathSciNet  Google Scholar 

  2. Amato, A., Martino, B.D., Scialdone, M., Venticinque, S.: Multi-agent negotiation of decentralized energy production in smartMicro-grid. In: Venticinque, S., Camacho, D., Braubach, L., Badica, C. (eds.) Intelligent Distributed Computing VIII, Studies in Computational Intelligence, vol. 570, pp. 155–160. Springer International Publishing (2015). https://doi.org/10.1002/cpe.3759

    Article  Google Scholar 

  3. Bidram, A., Davoudi, A.: Hierarchical structure of microgrid control system. IEEE Trans. Smart Grid 3(4), 1963–1976 (2012)

    Article  Google Scholar 

  4. Byrski, A., Kisiel-Dorohinicki, M.: Towards the implementation of agent-based computing systems. In: Kacprzyk, J. (ed.) Evolutionary Multi-Agent Systems. From Inspirations to Applications, Studies in Computational Intelligence, vol. 680, Chap. 5, pp. 123–138. Springer International Publishing (2017)

    Google Scholar 

  5. Chen, J., Zhu, Q.: A game-theoretic framework for resilient and distributed generation control of renewable energies in microgrids. IEEE Trans. Smart Grid 8(1), 285–295 (2017). https://doi.org/10.1109/TSG.2016.2598771

    Article  Google Scholar 

  6. Easley, D., Kleinberg, J.: Games. In: Networks, Crowds, and Markets: Reasoning about a Highly Connected World, Chap. 6, pp. 155–208. Cambridge University Press (2010)

    Google Scholar 

  7. Eddy, Y.S.F., Gooi, H.B., Chen, S.X.: Multi-agent system for distributed management of microgrids. IEEE Trans. Power Syst. 30(1), 24–34 (2015)

    Article  Google Scholar 

  8. Huang, C., Weng, S., Yue, D., Deng, S., Xie, J., Ge, H.: Distributed cooperative control of energy storage units in microgrid based on multi-agent consensus method. Electr. Power Syst. Res. 147, 213–223 (2017)

    Article  Google Scholar 

  9. Ju, N.P., Liu, C.C.: Multiagent systems. In: Liu, C.C., Eremia, M., Edris, A.A. (eds.) Advanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence, Chap. 20, pp. 903–930 (2016)

    Google Scholar 

  10. Khatibzadeh, A., Besmi, M., Mahabadi, A., Haghifam, M.R.: Multi-agent-based controller for voltage enhancement in AC/DC hybrid microgrid using energy storages. Energies 10(169), 1–17 (2017). https://doi.org/10.3390/en10020169

    Article  Google Scholar 

  11. Kulasekera, A.L., Gopura, R.A.R.C., Hemapala, K.T.M.U., Perera, N.: A review on multi-agent systems in microgrid applications. In: 2011 IEEE PES International Conference on Innovative Smart Grid Technologies-India, ISGT India 2011, pp. 173–177 (2011)

    Google Scholar 

  12. Kumar Nunna, H.S.V.S., Srinivasan, D.: Multi-Agent based transactive energy framework for distribution systems with smart microgrids. IEEE Trans. Ind. Inf. PP(99), 1–9 (2017). https://doi.org/10.1109/TII.2017.2679808

    Article  Google Scholar 

  13. Li, Y., Nejabatkhah, F.: Overview of control, integration and energy management of microgrids. J. Mod. Power Syst. Clean Energy 2(3), 212–222 (2014)

    Article  Google Scholar 

  14. Liu, B., Dou, C.X., Guerrero, J.M.: Event-triggered hybrid control based on multi-agent system for microgrids. IET Gener. Transm. Distrib. 8(12), 1987–1997 (2014)

    Article  Google Scholar 

  15. Liu, N., Yu, X., Wang, C., Wang, J.: Energy sharing management for microgrids with PV prosumers: a stackelberg game approach. IEEE Trans. Ind. Inf. 14(8), 1–10 (2017). https://doi.org/10.1109/TII.2017.2654302

    Article  Google Scholar 

  16. Liu, W., Gu, W., Sheng, W., Meng, X., Wu, Z., Chen, W.: Decentralized multi-agent system-based cooperative frequency control for autonomous microgrids with communication constraints. IEEE Trans. Sustain. Energy 5(2), 446–456 (2014)

    Article  Google Scholar 

  17. Ma, K., Hu, S., Yang, J., Dou, C., Guerrero, J.: Energy trading and pricing in microgrids with uncertain energy supply: a three-stage hierarchical game approach. Energies 10(5), 670 (2017). https://doi.org/10.3390/en10050670

    Article  Google Scholar 

  18. McArthur, S.D.J., Davidson, E.M., Catterson, V.M., Dimeas, A.L., Hatziargyriou, N.D., Ponci, F., Funabashi, T.: Multi-agent systems for power engineering applications - Part I: concepts, approaches, and technical challenges. IEEE Trans. Power Syst. 22(4), 1743–1752 (2007)

    Article  Google Scholar 

  19. Morstyn, T., Hredzak, B., Agelidis, V.G.: Cooperative multi-agent control of heterogeneous storage devices distributed in a DC microgrid. IEEE Trans. Power Syst. 31(4), 2974–2986 (2016)

    Article  Google Scholar 

  20. Morstyn, T., Hredzak, B., Agelidis, V.G., Demetriades, G.: Cooperative control of DC microgrid storage for energy balancing and equal power sharing. In: 2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings, October, pp. 1–6. IEEE (2014). https://doi.org/10.1109/AUPEC.2014.6966540

  21. Rahman, M., Oo, A.: Distributed multi-agent based coordinated power management and control strategy for microgrids with distributed energy resources. Energy Convers. Manage. 139, 20–32 (2017)

    Article  Google Scholar 

  22. Rahmani, R., Moser, I., Seyedmahmoudian, M.: Multi-agent based operational cost and inconvenience optimization of PV-based microgrid. Solar Energy 150, 177–191 (2017)

    Article  Google Scholar 

  23. Raju, L., Milton, R.S., Mahadevan, S.: Multiagent systems based modeling and implementation of dynamic energy management of smart microgrid using MACSimJX. Sci. World J. 2016, 1–14 (2016)

    Article  Google Scholar 

  24. Russell, S.J., Norvig, P.: Intelligent agents. In: Artificial Intelligence. A Modern Approach, 3th edn., p. 34. Prentice Hall (2010)

    Google Scholar 

  25. Schwaegerl, C., Tao, L.: The microgrids concept. In: Hatziargyriou, N. (ed.) Microgrids. Architectures and Control, Chap. 1, p. 318. Wiley and Sons Ltd (2014)

    Google Scholar 

  26. Su, W., Wang, J.: Energy management systems in microgrid operations. Electricity J. 25(8), 45–60 (2012)

    Article  Google Scholar 

  27. Sujil, A., Verma, J., Kumar, R.: Multi agent system: concepts, platforms and applications in power systems. Artif. Intell. Rev. 1–30 (2016)

    Google Scholar 

  28. Wei, C., Fadlullah, Z.M., Kato, N., Takeuchi, A.: GT-CFS: a game theoretic coalition formulation strategy for reducing power loss in micro grids. IEEE Trans. Parallel Distrib. Syst. 25(9), 2307–2317 (2014)

    Article  Google Scholar 

  29. Zarnekow, R.: Fundamental concepts of intelligent software agents. In: Intelligent Software Agents, Chap. 3, pp. 19–34. Springer-Verlag (1998)

    Google Scholar 

  30. Zhou, Z., Xiong, F., Huang, B., Xu, C., Jiao, R., Liao, B., Yin, Z., Li, J.: Game-theoretical energy management for energy internet with big data-based renewable power forecasting. IEEE Access 5, 5731–5746 (2017)

    Article  Google Scholar 

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Correspondence to Yamisleydi Salgueiro .

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Salgueiro, Y., Rivera, M., Nápoles, G. (2020). Multi-agent-Based Decision Support Systems in Smart Microgrids. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2019. Smart Innovation, Systems and Technologies, vol 142. Springer, Singapore. https://doi.org/10.1007/978-981-13-8311-3_11

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