Name
Abstract | ||
|---|---|---|
Environmental concerns and the shortage in the fossil fuel reserves have been potentiating the growth and globalization of distributed generation. Another resource that has been increasing its importance is the demand response, which is used to change consumers' consumption profile, helping to reduce peak demand. Aiming to support small players' participation in demand response events, the Curtailment Service Provider emerged. This player works as an aggregator for demand response events. The control of small and medium players which act in smart grid and micro grid environments is enhanced with a multi-agent system with artificial intelligence techniques - the MASGriP (Multi-Agent Smart Grid Platform). Using strategic behaviours in each player, this system simulates the profile of real players by using software agents. This paper shows the importance of modeling these behaviours for studying this type of scenarios. A case study with three examples shows the differences between each player and the best behaviour in order to achieve the higher profit in each situation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISGTEurope.2013.6695364 | Innovative Smart Grid Technologies Europe |
Keywords | Field | DocType |
control engineering computing,distributed power generation,load regulation,multi-agent systems,power distribution control,power system simulation,smart power grids,software agents,MASGriP,artificial intelligence technique,consumer consumption profile,curtailment service provider,demand response,distributed generation,environmental concern,fossil fuel reserve,load control timescale simulation,medium player participation,microgrid environment,multiagent smart grid platform,peak demand reduction,small player participation,smart grid,software agent,Artificial Intelligence,Demand Response,Micro Grid,Multi-agent Simulation,Smart Grid | Smart grid,Load balancing (electrical power),News aggregator,Demand response,Multi-agent system,Real-time computing,Dynamic demand,Peak demand,Distributed generation,Engineering,Environmental economics | Conference |
ISSN | Citations | PageRank |
2165-4816 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliveira, P. | 1 | 0 | 0.34 |
| Luís Gomes | 2 | 18 | 7.38 |
| Tiago Pinto | 3 | 33 | 4.95 |
| Pedro Faria | 4 | 136 | 25.00 |