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

Tim Dethlefs, Thomas Preisler, Wolfgang Renz
2014 Proceedings of the 2014 Federated Conference on Computer Science and Information Systems  
Dynamic and volatile grid conditions caused by the growing amount of renewable energy producers require the operation of large-scale distributed Demand-Side Management (DSM) applications. This is one of the tasks of the aggregator role in smart grid operation according to the Smart Grid Architecture Model (SGAM). For the optimization of distributed demandside loads under such conditions, Multi-Agent Systems (MAS) have been shown to provide an appropriate paradigm to model, simulate and deploy
more » ... tomated operating components. In this paper, we address an engineering problem that is still a matter of concern, namely the construction of efficient distributed optimization algorithms in conjunction with a generic software architecture. For this purpose, a distributed Multi-Agent architecture is presented with a generic consumer model and an energy exchange market as well as further roles and components. Ant Colony System Optimization is shown to effectively optimize 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.
doi:10.15439/2014f251 dblp:conf/fedcsis/DethlefsPR14 fatcat:4rjyt56krbgz5gu6lhkh5o2enm