TY  - CONF
T1  - Stochastic multiobjective optimization for hybrid power generation systems
A1  - Mihailescu, Radu-Casian
A1  - Schumann, René
A1  - Ossowski, Sascha
TI  - Proceedings of the 11th European Workshop on Multi-Agent Systems (EUMAS 2012)
Y1  - 2012
KW  - distributed constraint optimization
KW  - Multi-Agent Systems
KW  - Smart Grid
KW  - virtual power plants
N2  - A wide variety of renewable distributed energy technologies are now commercially available. However, due to their small-scale ca- pacity and intermittent nature, integrating such devices to the grid may degrade the security and reliability of the distribution systems. Virtual power plants (VPPs) representing clusters of distributed generators may alleviate these drawbacks by aggregating a reliable energy supply. In this paper, a methodology has been proposed for efficient demand-response in the context of hybrid power generation systems that combine different sources of energy. Specifically, the planning problem is formulated as a stochastic DCOP for determining the optimal dispatch. We then go on to propose a new distributed algorithm for solving the scheduling prob- lem and provide an empirical analysis of our approach for a Smart Grid scenario.
ER  -