A Multi-Agent System for decentralised control of low voltage distribution networks

Multi-agent systems can be applied to facilitate the integration of Distributed Generation and Demand-Side Management into electricity networks. A fully decentralised control approach is considered, and in this context the communication and adoption of agent intentions (“Intention Transfer”) is examined as a means of achieving a positive behaviour within a system where contracts to perform actions may not always be negotiated directly.

[1]  Pavlos Trichakis,et al.  Multi agent systems for the active management of electrical distribution networks , 2009 .

[2]  Phil Taylor,et al.  Predicting the technical impacts of high levels of small-scale embedded generators on low-voltage networks , 2008 .

[3]  H. F. Wang.  Multi-agent co-ordination for the secondary voltage control in power-system contingencies , 2001 .

[4]  Ding,et al.  Powering the Future , 2008 .

[5]  B. Lasseter,et al.  Microgrids [distributed power generation] , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[6]  G. A. Putrus,et al.  Impact of electric vehicles on power distribution networks , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[7]  J. Mutale,et al.  Taking an active approach , 2007, IEEE Power and Energy Magazine.

[8]  J. Antonio García-Macías,et al.  Implementing true multicast communications support for the JADE/LEAP agent framework , 2005, Sixth Mexican International Conference on Computer Science (ENC'05).

[9]  Y Hu,et al.  Powering the Future , 2009 .

[10]  Anand S. Rao,et al.  Modeling Rational Agents within a BDI-Architecture , 1997, KR.

[11]  P. F. Lyons,et al.  Transforming low-voltage networks into small-scale energy zones , 2009 .

[12]  Graham Coates,et al.  Distributed control approach for small-scale energy zones , 2008 .

[13]  Hector J. Levesque,et al.  Intention is Choice with Commitment , 1990, Artif. Intell..

[14]  Nicholas R. Jennings,et al.  Controlling Cooperative Problem Solving in Industrial Multi-Agent Systems Using Joint Intentions , 1995, Artif. Intell..