Abstract
Microgrids aim at providing reliable and optimised energy for all the grid participants. This requires the integration of technology solutions, especially for the management of the grid. Existing technologies, such as multi-agent systems, demonstrated their applicability in such fields by providing distributable, reliable, secure, and flexible solutions. We propose a reference architecture for microgrid approaches based on multi-agent systems with the aim of guiding software engineers and researches in the design and implementation of such solutions. Our reference architecture was validated by means of two case studies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amin, S., Wollenberg, B.: Toward a smart grid: Power delivery for the 21st century. IEEE Power Energy Mag. 3, 34–41 (2005)
Auger, A., Schoenauer, M., Vanhaecke, N.: Ls-cma-es: a second-order algorithm for covariance matrix adaptation. In: Parallel Problem Solving from Nature-PPSN VIII, pp. 182–191. Springer (2004)
Bellifemine, F.L., Caire, G., Greenwood, D.: Developing multi-agent systems with JADE, vol. 7. John Wiley & Sons (2007)
Chen, G.C., Yu, J.S.: Particle swarm optimization algorithm. Information and Control-Shenyang 34(3), 318 (2005)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)
Dimeas, A., Hatziargyriou, N.: Agent based control of virtual power plants. In: International Conference on Intelligent Systems Applications to Power Systems, ISAP 2007, pp. 1–6, November 2007
Ding, M., Zhang, Z., Guo, X.: Cim extension of microgrid energy management system. In: Power and Energy Engineering Conference, APPEEC 2009. Asia-Pacific, pp. 1–6. IEEE (2009)
Farhangi, H.: The path of the smart grid. IEEE Power Energy Mag. 8, 18–28 (2010)
Gomez-Sanz, J.J., Cuartero-Soler, N., Garcia-Rodriguez, S.: A testbed for agent oriented smart grid implementation. In: Engineering Multi-Agent Systems, pp. 92–108. Springer (2015)
Grant, M., Boyd, S.: Graph implementations for nonsmooth convex programs. In: Blondel, V., Boyd, S., Kimura, H. (eds.) Recent Advances in Learning and Control, LNCIS, pp. 95–110. Springer-Verlag Limited (2008)
Grant, M., Boyd, S.: CVX: Matlab software for disciplined convex programming, version 2.1, March 2014. http://cvxr.com/cvx
Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., Hancke, G.P.: A survey on smart grid potential applications and communication requirements. IEEE Transactions on Industrial Informatics 9(1), 28–42 (2013)
Al-Hinai, A., Choudhary, M.A.: Voltage collapse prediction for interconnected powersystems. http://www.scribd.com/doc/49081324/26/Western-System-Coordinating-Council-WSCC-3-Machines-9-Bus-system (2000)
Kraning, M., Chu, E., Lavaei, J., Boyd, S.: Dynamic network energy management via proximal message passing. Foundations and Trends in Optimization 1(2), 73–126 (2014)
Kumar Nunna, H., Doolla, S.: Multiagent-based distributed-energy-resource management for intelligent microgrids. IEEE Transactions on Industrial Electronics 60(4), 1678–1687 (2013)
Manickavasagam, K., Nithya, M., Priya, K., Shruthi, J., Krishnan, S., Misra, S., Manikandan, S.: Control of distributed generator and smart grid using multi-agent system. In: 1st International Conference on Electrical Energy Systems, pp. 212–217 (2011)
Oyarzabal, J., Jimeno, J., Ruela, J., Engler, A., Hardt, C.: Agent based micro grid management system. In: 2005 International Conference on Future Power Systems, p. 6, November 2005
Pipattanasomporn, M., Feroze, H., Rahman, S.: Multi-agent systems in a distributed smart grid: design and implementation. In: Power Systems Conference and Exposition, PSCE 2009, pp. 1–8. IEEE/PES, March 2009
Storn, R., Price, K.: Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11(4), 341–359 (1997)
Wang, L., Wang, Z., Yang, R.: Intelligent multiagent control system for energy and comfort management in smart and sustainable buildings. IEEE Transactions on Smart Grid 3(2), 605–617 (2012)
Wang, W., Xu, Y., Khanna, M.: A survey on the communication architectures in smart grid. Computer Networks 55(15), 3604–3629 (2011)
Xiao, Z., Li, T., Huang, M., Shi, J., Yang, J., Yu, J., Wu, W.: Hierarchical mas based control strategy for microgrid. Energies 3(9), 1622–1638 (2010)
Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the strength pareto evolutionary algorithm. Tech. Rep. 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Garcia-Rodriguez, S., Sleiman, H.A., Nguyen, VQA. (2016). A Multi-agent System Architecture for Microgrid Management. In: de la Prieta, F., et al. Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. PAAMS 2016. Advances in Intelligent Systems and Computing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-40159-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-40159-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40158-4
Online ISBN: 978-3-319-40159-1
eBook Packages: EngineeringEngineering (R0)