Reference : A multi-agent system approach to model the interaction between distributed generation...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/223038
A multi-agent system approach to model the interaction between distributed generation deployment and the grid
English
Manuel de Villena Millan, Miguel mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
Gautier, Axel mailto [Université de Liège - ULiège > HEC Liège : UER > Economie industrielle >]
Fonteneau, Raphaël mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore) >]
Ernst, Damien mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
Jun-2018
Proc. of CIRED Workshop 2018
Yes
International
CIRED Workshop 2018 on Microgrids and Local Energy Communities
7-8 June 2018
Ljubljana
Slovenia
[en] Distribution networks ; Regulation ; Distributed generation ; Power system economics ; Optimisation
[en] This paper introduces a multi-agent dynamical system of the interaction between electricity consumers, the electricity distribution system operator, and the technological (generation, storage) and regulatory (tariff design, incentive schemes) environments. For any type of environment, our dynamical system simulates the evolution of the deployment of distributed electricity generation, as well as the evolution of the cost of distribution. The system relies on the assumption that individual electricity consumers behave statistically as rational agents, who may invest in optimised distributed renewable energy installations, if they are cost-efficient compared to the retail electricity tariff. The deployment of these installations induces a change in the aggregated net consumption and generation of the users of a distribution network. By modelling the cost recovery mechanism of the distribution system operator, the system simulates the evolution of the retail electricity tariff in response to such a change in the aggregated consumption and production.
Montefiore Institute of Electrical Engineering and Computer Science - Montefiore Institute
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/223038

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