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Annals of Computer Science and Information Systems, Volume 2

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems

Multi-Agent-based Distributed Optimization for Demand-Side-Management Applications

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DOI: http://dx.doi.org/10.15439/2014F251

Citation: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 2, pages 14891496 ()

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Abstract. Through automation and the emerging information and communication technology large-scale applications of Demand-Side Management (DSM) become achievable. Multi- Agent Systems (MAS) provide an intuitive paradigm for modeling and simulating such distributed grid-components. In this paper, a MAS for optimizing demand-side loads will be presented. It provides a distributed lightweight optimization model, enabling the consumer-side to form spontaneous networks to optimize their demand. For this purpose a generic consumer model and an energy exchange market as well as further roles and components will be specified. The distributed optimization of the consumers is achieved by a distributed Multi-Agent architecture utilizing Ant Colony System Optimization in order to optimize the consumers in a nature- inspired, self-organizing way. The applicability of the proposed approach will be demonstrated in a use-case study where a group of heterogenous consumers optimize their runtimes in order to map their demand to the energy generation of a wind power plant in a self-organized fashion.