A consumer-orientated Architecture for distributed Demand-Side-Optimization

Demand-Side-Management (DSM) is one of the key applications in the future smart grid, creating a new degree of control in order to reduce losses and fluctuations caused by volatile distributed energy resources (DERs). To integrate the consumer side, several approaches like flexible tariffs, have been proposed and tested. However, many of these approaches not have been adopted widely yet because of the needed sophisticated (and often expensive) command and control infrastructures or their impact on the user comfort. In this paper an architectural approach for a lightweight demand-side-application will be proposed. Utilizing methods of peer-to-peer (p2p) networks and

[1]  R. DeBlasio,et al.  Advancing Smart Grid Interoperability and Implementing NIST's Interoperability Roadmap , 2007 .

[2]  Martin Braun,et al.  TECHNOLOGICAL CONTROL CAPABILITIES OF DER TO PROVIDE FUTURE ANCILLARY SERVICES , 2007 .

[3]  Sila Kiliccote,et al.  Open Automated Demand Response Communications Specification (Version 1.0) , 2009 .

[4]  C.W. Gellings,et al.  The concept of demand-side management for electric utilities , 1985, Proceedings of the IEEE.

[5]  Thillainathan Logenthiran,et al.  Demand Side Management in Smart Grid Using Heuristic Optimization , 2012, IEEE Transactions on Smart Grid.

[6]  J. Braunagel,et al.  Determination of load schedules and load shifting potentials of a high number of electrical consumers using mass simulation , 2013 .

[7]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[8]  Sarvapali D. Ramchurn,et al.  Agent-based control for decentralised demand side management in the smart grid , 2011, AAMAS.

[9]  David Nestle,et al.  Open Energy Gateway Architecture for Customers in the Distribution GridArchitektur eines offenen Gateways für Energiemanagement und Energieeffizienz für Verteilnetzkunden , 2010, it Inf. Technol..

[10]  Sebnem Rusitschka,et al.  A low-cost alternative to smart metering infrastructure based on peer-to-peer technologies , 2009, 2009 6th International Conference on the European Energy Market.

[11]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[12]  J. K. Kok,et al.  Intelligence in Electricity Networks for Embedding Renewables and Distributed Generation , 2010 .

[13]  Wolfgang Renz,et al.  Multi-Agent-based distributed optimization for Demand-Side-Management applications , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[14]  Robert Schober,et al.  Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[15]  Winfried Lamersdorf,et al.  Jadex: A BDI Reasoning Engine , 2005, Multi-Agent Programming.

[16]  Wolfgang Renz,et al.  A distributed registry for service-based energy management systems , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.