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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Decentralized Coalition Formation in Agent-Based Smart Grid Applications

verfasst von : Jörg Bremer, Sebastian Lehnhoff

Erschienen in: Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection

Verlag: Springer International Publishing

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Abstract

A steadily growing pervasion of the energy grid with communication technology is widely seen as an enabler for new computational coordination techniques for renewable, distributed generation as well as for controllable consumers. One important task is the ability to group together in order to jointly gain enough suitable flexibility and capacity to assume responsibility for a specific control task in the grid. We present a fully decentralized coalition formation approach based on an established heuristic for predictive scheduling with the additional advantage of keeping all information about local decision base and local operational constraints private. The approach is evaluated in several simulation scenarios with different type of established models for integrating distributed energy resources.

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Vorheriges Kapitel Belief-Based Argumentation in Intelligence Analysis and Decision Making
Nächstes Kapitel Agent-Based Modelling of Cost Efficient and Stable Transmission Grid Expansion Planning
Fußnoten
Literatur
1.
Abarrategui, O., Marti, J., Gonzalez, A.: Constructing the active european power grid. In: Proceedings of WCPEE 2009, Cairo (2009)
2.
Awerbuch, S., Preston, A.M. (eds.): The Virtual Utility: Accounting, Technology & Competitive Aspects of the Emerging Industry. Topics in Regulatory Economics and Policy, vol. 26. Kluwer Academic Publishers, Boston (1997)
3.
Beer, S., Appelrath, H.J.: A formal model for agent-based coalition formation in electricity markets. In: Innovative Smart Grid Technologies Europe (IEEE ISGT EUROPE), pp. 1–5, October 2013
4.
Bistaffa, F., Farinelli, A., Vinyals, M., Rogers, A.: Decentralised stable coalition formation among energy consumers in the smart grid (demonstration). In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, vol. 3, pp. 1461–1462. International Foundation for Autonomous Agents and Multiagent Systems, AAMAS 2012, Richland, SC (2012)
5.
Bremer, J., Rapp, B., Sonnenschein, M.: Support vector based encoding of distributed energy resources’ feasible load spaces. In: IEEE PES Conference on Innovative Smart Grid Technologies Europe. Chalmers Lindholmen, Gothenburg, Sweden (2010)
6.
Bremer, J., Sonnenschein, M.: Constraint-handling for optimization with support vector surrogate models - a novel decoder approach. In: Filipe, J., Fred, A. (eds.) ICAART 2013 - Proceedings of the 5th International Conference on Agents and Artificial Intelligence, vol. 2, pp. 91–105. SciTePress, Barcelona, Spain (2013)
7.
Bremer, J., Sonnenschein, M.: Estimating shapley values for fair profit distribution in power planning smart grid coalitions. In: Klusch, M., Thimm, M., Paprzycki, M. (eds.) MATES 2013. LNCS, vol. 8076, pp. 208–221. Springer, Heidelberg (2013)CrossRef
8.
Bremer, J., Sonnenschein, M.: Sampling the search space of energy resources for self-organized, agent-based planning of active power provision. In: Page, B., Fleischer, A.G., Göbel, J., Wohlgemuth, V. (eds.) 27th International Conference on Environmental Informatics for Environmental Protection, EnviroInfo 2013, pp. 214–222. Shaker (2013)
9.
10.
de O Ramos, G., Rial, J., Bazzan, A.: Self-adapting coalition formation among electric vehicles in smart grids. In: 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 11–20, September 2013
11.
European Parliament & Council: Directive 2009/28/ec of 23 on the promotion of the use of energy from renewable sources and amending and subsequently repealing directives 2001/77/ec and 2003/30/ec, April 2009
12.
13.
Gensollen, N., Becker, M., Gauthier, V., Marot, M.: Coalition formation algorithm of prosumers in a smart grid environment. In: 2015 IEEE International Conference on Communications, ICC 2015, London, United Kingdom, June 8–12, 2015, pp. 5896–5902. IEEE (2015)
14.
Hinrichs, C.: Selbstorganisierte Einsatzplanung dezentraler Akteure im Smart Grid. Ph.D. thesis, Carl von Ossietzky Universit Oldenburg (2014)
15.
Hinrichs, C., Bremer, J., Sonnenschein, M.: Distributed hybrid constraint handling in large scale virtual power plants. In: IEEE PES Conference on Innovative Smart Grid Technologies Europe (ISGT Europe 2013). IEEE Power & Energy Society (2013)
16.
Hinrichs, C., Lehnhoff, S., Sonnenschein, M.: A decentralized heuristic for multiple-choice combinatorial optimization problems. In: Helber, S., et al. (eds.) Operations Research Proceedings 2012, pp. 297–302. Springer, Heidelberg (2014)CrossRef
17.
Hinrichs, C., Sonnenschein, M., Lehnhoff, S.: Evaluation of a self-organizing heuristic for interdependent distributed search spaces. In: Filipe, J., Fred, A.L.N. (eds.) International Conference on Agents and Artificial Intelligence (ICAART 2013). vol. 1, pp. 25–34. SciTePress (2013)
18.
Hsu, M.-C., Soo, V.-W.: Fairness in cooperating multi-agent systems – using profit sharing as an example. In: Lukose, D., Shi, Z. (eds.) PRIMA 2005. LNCS, vol. 4078, pp. 153–162. Springer, Heidelberg (2009)CrossRef
19.
Kahan, J., Rapoport, A.: Theories of Coalition Formation. Basic Studies in Human Behavior. L. Erlbaum Associates, Hillsdale (1984)MATH
20.
Kamphuis, R., Warmer, C., Hommelberg, M., Kok, K.: Massive coordination of dispersed generation using powermatcher based software agents. In: 19th International Conference on Electricity Distribution, May 2007
21.
Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Global Optim. 39(3), 459–471 (2007)MathSciNetCrossRefMATH
22.
Lima, J., Pereira, M., Pereira, J.: An integrated framework for cost allocation in a multi-owned transmission-system. IEEE Trans. Power Syst. 10(2), 971–977 (1995)CrossRef
23.
Lust, T., Teghem, J.: The multiobjective multidimensional knapsack problem: a survey and a new approach. CoRR abs/1007.4063 (2010)
24.
Mas-Colell, A.: Remarks on the game-theoretic analysis of a simple distribution of surplus problem. Int. J. Game Theory 9, 125–140 (1980)MathSciNetCrossRefMATH
25.
Mas-Colell, A., Whinston, M.D., Green, J.R.: Microeconomic Theory. Oxford University Press, Oxford (1995)MATH
26.
Neugebauer, J., Kramer, O., Sonnenschein, M.: Classification cascades of overlapping feature ensembles for energy time series data. In: Aung, Z., et al. (eds.) DARE 2015. LNCS, vol. 9518, pp. 76–93. Springer, Heidelberg (2015). doi:10.​1007/​978-3-319-27430-0_​6 CrossRef
27.
Nie, A., Lehnhoff, S., Trchel, M., Uslar, M., Wissing, C., Appelrath, H.J., Sonnenschein, M.: Market-based self-organized provision of active power and ancillary services: An agent-based approach for smart distribution grids. In: 2012 Complexity in Engineering (COMPENG), pp. 1–5, June 2012
28.
Nieße, A., Beer, S., Bremer, J., Hinrichs, C., Lünsdorf, O., Sonnenschein, M.: Conjoint dynamic aggregation and scheduling for dynamic virtual power plants. In: Ganzha, M., Maciaszek, L.A., Paprzycki, M. (eds.) Federated Conference on Computer Science and Information Systems - FedCSIS 2014, Warsaw, Poland, September 2014
29.
Nieße, A., Sonnenschein, M.: A fully distributed continuous planning approach for decentralized energy units. In: Cunningham, D.W., Hofstedt, P., Meer, K., Schmitt, I. (eds.) Informatik 2015. GI-Edition - Lecture Notes in Informatics (LNI), vol. 246, pp. 151–165. Bonner Köllen Verlag (2015)
30.
Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. Swarm Intell. 1(1), 33–57 (2007)CrossRef
31.
Rahwan, T., Michalak, T.P., Wooldridge, M., Jennings, N.R.: Coalition structure generation: A survey. Artif. Intell. 229, 139–174 (2015)MathSciNetCrossRefMATH
32.
Rahwan, T., Ramchurn, S.D., Jennings, N.R., Giovannucci, A.: An anytime algorithm for optimal coalition structure generation. CoRR abs/1401.3466 (2014)
33.
Ramchurn, S.D., Vytelingum, P., Rogers, A., Jennings, N.R.: Agent-based homeostatic control for green energy in the smart grid. ACM Trans. Intell. Syst. Technol. 2(4), 35:1–35:28 (2011)CrossRefMATH
34.
Ramchurn, S.D., Vytelingum, P., Rogers, A., Jennings, N.R.: Putting the ‘smarts’ into the smart grid: A grand challenge for artificial intelligence. Commun. ACM 55(4), 86–97 (2012)CrossRef
35.
Saad, W., Han, Z., Poor, H.V., Basar, T.: Game theoretic methods for the smart grid. CoRR abs/1202.0452 (2012)
36.
Sen, A.K.: Labour allocation in a cooperative enterprise. Rev. Econ. Stud. 33(4), 361–371 (1966)CrossRef
37.
Sonnenschein, M., Appelrath, H.J., Canders, W.R., Henke, M., Uslar, M., Beer, S., Bremer, J., Lünsdorf, O., Nieße, A., Psola, J.H., et al.: Decentralized provision of active power. In: Smart Nord - Final Report. Hartmann GmbH, Hannover (2015)
38.
Sonnenschein, M., Hinrichs, C., Nieße, A., Vogel, U.: Supporting renewable power supply through distributed coordination of energy resources. In: Hilty, L.M., Aebischer, B. (eds.) ICT Innovations for Sustainability. Advances in Intelligent Systems and Computing, vol. 310, pp. 387–404. Springer, Heidelberg (2015)
39.
Vinyals, M., Bistaffa, A., Farinelli, A., Rogers, A.: Stable coalition formation among energy consumers in the smart grid. In: Proceedings of the 3th International Workshop on Agent Technologies for Energy Systems (ATES 2012), pp. 73–80, June 2012
40.
Watts, D., Strogatz, S.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440–442 (1998)CrossRef
Metadaten
Titel
Decentralized Coalition Formation in Agent-Based Smart Grid Applications
verfasst von
Jörg Bremer
Sebastian Lehnhoff
Copyright-Jahr
2016
Buch
Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection

Print ISBN: 978-3-319-39386-5

Electronic ISBN: 978-3-319-39387-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-39387-2_29

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