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

fYear

2014

fDate

7-10 Sept. 2014

Firstpage

1489

Lastpage

1496

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on

Conference_Location

Warsaw

Type

conf

DOI

10.15439/2014F251

Filename

6933194