TY - GEN
T1 - Dynamic coalition adaptation for efficient agent-based virtual power plants
AU - Mihailescu, Radu Casian
AU - Vasirani, Matteo
AU - Ossowski, Sascha
PY - 2011
Y1 - 2011
N2 - An agent-based organizational model for a smart energy system is introduced relying on a dynamic coalition formation mechanism for virtual power plants. Central to this mechanism we propose a solution concept that stems from the existent stability notions in coalitional games. The process is intended as an open-ended organizational adaptation, concerned with achieving stable configurations that meet the desired functionalities within stochastic scenarios. We deploy the mechanism in distributed environments populated by negotiating agents and give empirical results that prove a significant improvement of organizational efficiency.
AB - An agent-based organizational model for a smart energy system is introduced relying on a dynamic coalition formation mechanism for virtual power plants. Central to this mechanism we propose a solution concept that stems from the existent stability notions in coalitional games. The process is intended as an open-ended organizational adaptation, concerned with achieving stable configurations that meet the desired functionalities within stochastic scenarios. We deploy the mechanism in distributed environments populated by negotiating agents and give empirical results that prove a significant improvement of organizational efficiency.
UR - http://www.scopus.com/inward/record.url?scp=80054118645&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24603-6_11
DO - 10.1007/978-3-642-24603-6_11
M3 - Conference contribution
AN - SCOPUS:80054118645
SN - 9783642246029
T3 - Lecture Notes in Computer Science
SP - 101
EP - 112
BT - Multiagent System Technologies. MATES 2011
PB - Springer
T2 - 9th German Conference on Multi-Agent System Technologies 2011
Y2 - 6 October 2011 through 7 October 2011
ER -