Title :
Multi-Agent-based distributed optimization for Demand-Side-Management applications
Author :
Dethlefs, Tim ; Preisler, Thomas ; Renz, Wolfgang
Author_Institution :
Fac. of Eng. & Comput. Sci., Hamburg Univ. of Appl. Sci., Hamburg, Germany
Abstract :
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 demand-side loads under such conditions, Multi-Agent Systems (MAS) have been shown to provide an appropriate paradigm to model, simulate and deploy automated operating components.
Keywords :
demand side management; distributed processing; multi-agent systems; power engineering computing; smart power grids; automated operating components; demand-side-management applications; distributed demand-side loads; dynamic grid conditions; large-scale distributed demand-side management applications; multiagent systems; multiagent-based distributed optimization; renewable energy producers; smart grid architecture model; smart grid operation; volatile grid conditions; Density estimation robust algorithm; Load modeling; Optimization; Planning; Runtime; Smart grids; Vectors;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
Conference_Location :
Warsaw
