A distributed combinatorial optimisation heuristic for the scheduling of energy resources represented by self-interested agents
by Christian Hinrichs; Michael Sonnenschein
International Journal of Bio-Inspired Computation (IJBIC), Vol. 10, No. 2, 2017

Abstract: The aggregation of controllable distributed energy resources (DER) to virtual power plants (VPPs) forms a possible integration path for DER in future energy systems. The authors present a fully distributed scheduling heuristic for VPPs. The approach is realised by representing each participant of a VPP by a self-interested agent. Both the global, operator-driven scheduling objective of a VPP as well as arbitrary individual local objectives of the agents are integrated efficiently in a fully distributed coordination paradigm. Convergence and termination of the heuristic are proven in the presence of unreliable environments, e.g., with communication delays.

Online publication date: Fri, 18-Aug-2017

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